Data Analytics Resume Samples

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AG
A Greenholt
Ayana
Greenholt
97862 Grady Divide
Houston
TX
+1 (555) 213 8206
97862 Grady Divide
Houston
TX
Phone
p +1 (555) 213 8206
Experience Experience
01/2015 present
Chicago, IL
Director of Data Analytics
Chicago, IL
Director of Data Analytics
01/2015 present
Chicago, IL
Director of Data Analytics
01/2015 present
  • Interviews, hires and establishes colleague performance development plans; conducts colleague performance discussions
  • Design, develop, and deliver automated dashboards of key metrics to members of management
  • Develop and execute a strategy for ingesting data from a variety of third party sources, then transforming and leveraging it for analytical use
  • Provides support, guidance, leadership and motivation to promote maximum performance
  • Responsible for the development of training tools that drive performance efficiencies and consistencies within the business unit and team
  • Oversees the work of assigned colleagues, including project assignment and workflow
  • Lead the development and management of regression analysis, forecasting models, and report generation
04/2009 07/2014
Detroit, MI
Data & Analytics
Detroit, MI
Data & Analytics
04/2009 07/2014
Detroit, MI
Data & Analytics
04/2009 07/2014
  • Manging, building and developing a team of top performing data scientists working across a range of behavioural analytic client problems
  • Assist Senior Qlikview developers with developing Reports and Dashboards using QlikView
  • Providing design and coaching and overall management of client projects, and where necessary getting involved in model development on critical projects
  • Assist the team with testing reports and dashboards that are being developed by the team
  • Providing assistance in a consulting capacity to clients in resolving regulatory enforcement actions or remediating known compliance deficiencies
  • Assisting clients with the development of compliance-related policies and procedures
  • Supporting the research and development of data and analytics assets used across project and solutions
08/2006 03/2009
Dallas, TX
Data Analytics
Dallas, TX
Data Analytics
08/2006 03/2009
Dallas, TX
Data Analytics
08/2006 03/2009
  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Heavily involved in development and marketing aspects of the business such as preparing and attending client proposals as well as presenting to large audiences
  • Designing analytics test to support audit activities, including Audits, Continuous Monitoring, and Risk Assessments
  • Statistical techniques for analyzing data, including: sampling, optimization, logistic regression, and cluster analysis; and
  • Provides analysis on customer reporting and proving value proposition for new and existing clients
  • Interpreting results of analyses, identifying trends and issues, and developing alternatives to drive positive change
  • Drives the innovative use of audit analytics through direct participation in all phases of audits (i.e., business monitoring, planning, fieldwork, reporting)
Education Education
Bachelor’s Degree in Mathematics
Bachelor’s Degree in Mathematics
Colorado State University
Bachelor’s Degree in Mathematics
Skills Skills
  • Capable of balancing multiple projects with strong ability to properly delegate and meet deadlines
  • Analytically minded and have the ability to assimilate and apply new techniques and knowledge quickly to deliver insights and solve problems
  • Highly numerate with a strong technical knowledge and experience of applying analytical and modelling techniques to provide insights to business issues
  • Highly numerate with a good level of technical knowledge and experience of applying analytical and modelling techniques to provide insights to business issues
  • Knowledge of /proficiency with credit risk models, mortgage prepayment models, and/or complex discounted
  • Detail-oriented and strong team player
  • Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities
  • Strong attention to detail on all work performed
  • Strong knowledge of other Microsoft applications including Word, Visio, PowerPoint, and Outlook
  • Professional demeanor and strong communication skills, both written and oral
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1

Data Analytics & Performance Improvement Senior Associate Resume Examples & Samples

  • Preparation of regular reports on a monthly/quarterly basis following internal process guidelines under the supervision of the team lead
  • Apply business judgement to data provided by the offshore reporting team, and deliver Talent analysis to key stakeholders across EMEIA FSO under supervision of team lead
  • Oversee the offshore team to produce quantitative reporting data and analysis, act as quality check-point
  • Support the team lead on streamlining existing reports, and generating efficiency in current reporting processes, measures and systems
  • Timely response to ad-hoc data/analysis requests, according to business priorities; includes preparation of datasets for further processing and analysis of outputs
  • Continuous improvement through gathering feedback from report end-users
  • Support other processes / projects as needed
  • Build relationships with multiple stakeholders
2

Data Analytics Executive Resume Examples & Samples

  • Supporting senior staff with team and operation duties as required
  • Experience in data analysis and manipulation with any of the following software: SQL (esp. SQL Server), SAS, and IBM SPSS
  • Knowledge of statistical techniques and analysis (such as regression, clustering, sampling, social network analysis)
  • Understanding of at least one scripting language such as Python, PHP, VB; or programming languages such as Java, C++, C#
3

Fids Data Analytics Leader Resume Examples & Samples

  • Serve as an escalation point for customer concerns if/when they arise. Identify appropriate resolution to achieve client satisfaction in a timely manner
  • Monitor and manage end-to-end delivery of the data analytics portion (capture, transform, load, create/maintain engagement analytics environment, analytics, engagement work product capture, engagement close/archive/complete) of the overall program within scope, time and budget
  • Must be able to work within a matrix organization – balancing the needs of the customer against firm initiatives and goals
  • Must make decisions and negotiate with customers and overcome obstacles
  • Manage multiple and diverse teams, including the EY ITS and business IT teams, to deliver projects in alignment with customer needs with transparency to IT Services and customer stakeholders
  • Demonstrate, by example, in-depth knowledge of the EY competency principles and practices, including coaching, teaching and mentoring
  • Think strategically and identify opportunities for optimization
  • Create an open, honest, accountable and collaborative team environment
  • Operate as an empowering leader, ensuring our highly motivated and high performing team members are visible, known by leadership and rewarded
  • Proven track record of delivering infrastructure (Iaas, Paas) and package delivery programs on a global scale
  • Strong domain knowledge in Data Analytics, Business Intelligence, Data Warehousing, Fraud detection, investigative and dispute technologies (perhaps in a professional service environment)
  • 15 years of project delivery and client relationship management in a technology environment
  • Strong customer orientation and able to manage customer expectations
  • Strong executive presence
  • Strong financial and people leadership skills. Proven track record in managing geographically dispersed, diverse teams of 40 people plus including employees, contractors and 3rd party resources
  • 15 years in a corporate IT environment working with multiple disciplines to deliver projects in line with customer needs
  • Significant experience in a customer service role and business management role
4

Operational Risk Data Analytics Resume Examples & Samples

  • Assisting in the development of the Enterprise Governance, Risk and Compliance system for firm wide usage
  • Implementing ORD data frameworks, guidelines and standards
  • Managing projects for Operational Risk Department, including global support models, policy governance and data control
  • Defining enterprise reporting standards and requirements
  • Performing analysis on ORD Data from existing data sources
  • Managing the data collection, analysis, monitoring and maintenance process(es) - Interacting with senior leadership and global stakeholders to determine risk management needs
  • Interacting with global regulators to discuss the overall health of ORD’s reference data - Program managing data related projects across ORD
  • 5 years’ experience in an Operational Risk Program Management or Financial Analysis and Control environment (or comparable experience)
  • Bachelor’s degree or equivalent experience
  • Prior experience in the Data Management, Monitoring or Architecture arenas is a plus
  • 2 – 3 years of Project management experience preferred
  • Must be a self-starter and highly organized; attention to detail a must
  • Strong client relationship management skills. Strong proficiency in the MS Office Suite (e.g., Excel, Powerpoint, Access)
5

AML Data Analytics Resume Examples & Samples

  • 5 yrs data analytics experience
  • Proficiency with SQL and other standard database query tools
  • Proficiency with SAS and other statistical/data management tools
6

Data Analytics Regional Head Resume Examples & Samples

  • Collaborating across business units with stakeholders, providing thought leadership, and driving day-to-day implementation of our analytics strategy
  • Designing, coordinating, and implementing analytical business and technology solutions to support audit and innovation initiatives
  • Contributing heavily to APAC region management and developing in-depth subject matter expertise in providing analytic training and value-added solutions
  • Providing technical mentorship to auditors across all levels within the APAC region
  • Staying abreast of current business and industry trends relevant to UBS
  • Displaying strong communication, interpersonal, and leadership ability across all levels coupled with effective problem solving, conceptual thinking, quantitative and analytical skills
  • Bachelor’s degree and approximately 10 years of related work experience
  • A minimum of 8 years programming, application or reporting development experience (SAS, SQL, Business Objects, MS SQL Server, Teradata, ACL)
  • A minimum of 8 years of relevant work experience at a financial services company or comparable experience working as an advisor for a financial services company
  • Master's degree in an analytical field such as Engineering, Math, Accounting, Finance or Information Technology from a leading university
  • Hold certification in one of the following: CPA, CIA, CISA, CISSP, CFE
  • 10 years of programming, application or reporting development experience using analytics / BI packages (e.g. SAS, SQL, Cognos, Business Objects, MicroStrategy, Spotfire, Tableau, QlikView) to build client analysis solutions
  • 10 years of relevant work experience at a financial services company or comparable experience working as an advisor for a financial services company
  • Demonstrates a comprehensive understanding of Investment Banking, Asset Management, or Wealth Management
  • Currently based in APAC or has in-depth previous experience working within the region
  • Strong project management skills, ability to influence cross-functionally in a rapidly evolving business environment while managing multiple / concurrent projects
  • Strong written and verbal communication, presentation and technical writing skills
7

Developer for Data Analytics Resume Examples & Samples

  • Be part of an agile software team that will be working with Open Source projects, like Square’s Cube, and developing in-house solutions to collect and analyze large data sets for our fleet of Android tablets and cloud-based services
  • Work with data scientists, product owners, UX designers, and peer development teams to estimate and develop robust and scalable data analytics tools and dashboards (both on device and cloud-based)
  • Contribute to continuous improvement of software development best practices in the areas of coding tools, languages and APIs, as well as agile software design and development processes
  • BS/MS/PHD in Computer Science or equivalent experience
  • Proven experience with AngularJS
  • Proven understanding of Computer Science fundamentals including OO, data structures, and algorithms
  • Experience in another language such as Python, C++, C#, or Ruby
  • Fundamental understanding of statistical methods
  • Experience in an agile/test driven development environment
  • Proven experience with unit testing and/or continuous integration is a big plus
8

Manager of Data Analytics Resume Examples & Samples

  • Writing software to clean and investigate large, messy data sets, including building out the initial database
  • Integrating with external data sources and APIs to discover interesting trends (Epicor, Google Analytics)
  • Creating entry points to access that data from other points (eg Virtual Closets Kiosks)
  • Building, executing and owning CRM data including email list
  • Work with Merchandising and Digital Marketing managers to capitalize on opportunities based on that data
  • 2+ years’ experience in Google Analytics
  • 2+ years’ experience with data mining
  • 4+ years’ experience with relational databases and SQL Or My SQL
  • Experience with POS Systems data is a plus
9

Lead for Data Analytics Resume Examples & Samples

  • Lead a data analytics team working with Open Source projects, like Apache Spark, Druid, Square’s Cube, and developing in-house solutions to collect and analyze large data sets for our fleet of Android tablets and cloud-based services
  • Create and maintain a data pipeline as well as the associated tools to analyze that data and create usable statistical models that can drive our product forward
  • Work with product owners, UX designers, and peer development teams to estimate and develop robust customer-facing and internal dashboards (both on device and cloud-based)
  • Lead the expansion of a growing team that provides key metrics to help improve our product and eventually improve the learning outcomes of students
  • Maintain and share knowledge in emerging technologies
  • 4 + years' experience developing interactive applications in Java
  • Proven experience in leading a key role in building a data science team and the associated services
  • Proven experience using tools like Amazon Kinesis, Apache Spark, Hadoop, Druid, or similar
  • Proven understanding of Computer Science fundamentals including OO, data structures , and algorithms
  • Proficient understanding of modern Agile product methodologies
  • Experience in another language such as Python, Scala, Java, or Ruby
  • MS or PhD is data science or statistics
  • Experience with Android platform, preferably ICS or later
10

Head of Data & Analytics Resume Examples & Samples

  • 10+ years experience in a senior technology management position within capital markets industry
  • Extensive knowledge of US market structure, additional knowledge of Canadian and European market structure would be beneficial
  • Proven track record in creating, maintaining, and enhancing historical market data repositories consuming high volume trade and quote data (e.g. US Equity market level I/II)
  • Thorough understanding of high capacity/low latency infrastructure (e.g. high performance ESB technologies such as Solace, solid state storage devices)
  • Experience processing high frequency market data products required (e.g. Exegy, Wombat)
  • Extensive knowledge of KDB+ or similar high-performance column orientated technology, experience of Java or C# is also preferred
  • Detailed knowledge of other big-data technology such as Hadoop
  • Extensive knowledge of FIX Protocol and other industry protocols, e.g. ITCH, OUCH
  • University level education ideally specializing in Business or Computer Sciences
  • LI-AT1
11

Data Analytics Platform Team Leader Resume Examples & Samples

  • Experience and knowledge with DB and SQL
  • Experience and knowledge with NO SQL databases (e.g. Mongo/Hadoop/..)
  • Experience in big-data environment based on HDFS: Hadoop/Hive/PIG/Mahout/Cassandra
  • Proficiency in at least one modern OO language such as C#/Java
  • Experienced in Unix environment and scripting
  • Demonstrated expertise as a team leader
  • Experience in working in SCRUM methodology
  • TDD/ CD fundamentals – an advantage
  • BSc Degree in Engineering- a must
  • Computer Science. MSc is a plus
  • Team player with excellent interpersonal & communication skills in both Hebrew and English
12

Data Analytics Resume Examples & Samples

  • Applying statistical methods and visualization techniques for discovery and speed to insights
  • Interpreting results of analyses, identifying trends and issues, and developing alternatives to drive positive change
  • Assessing the potential usefulness, validity, and rigor of new data sources or analytic approaches and the capabilities of potential partners
  • Proposing measurement strategies to translate business goals into KPIs across the adidas Group’s consumer-facing businesses
  • Experience in the valuation and definition of new consumer measures, and the translation of business goals into quantitative metrics
  • Degree in statistics, econometrics, applied math, or a quantitative behavioral sciences field
  • Experience in applying advanced analytics to inform product or operational strategy and/or to develop and improve metrics a plus
  • Experience, interest and adaptability to working in a fast paced environment
13

CCB Risk-data Analytics Resume Examples & Samples

  • Practical expertise in contemporary analytical/data science methods: predictive modeling (CHAID/CART, generalized linear models, nonlinear models, machine learning methods); segmentation (cluster analysis, latent class analysis); and construction of designed experiments
  • Experience with some or all of: SAS, R, SQL, Hadoop and Greenplum
  • Excellent analytical skills with a track record in defining customer strategies through the use of data and analytics
  • Experience in analyzing data in order to build out business strategies
  • Developing and communicating business recommendations and insights in easy to understand way leveraging data to tell a story
  • Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence
  • History of making an impact, developing and executing on strategies and delivering superior results in both the short and long term
  • Develop and maintain working relationship with other businesses, functional groups and vendor organizations. Ability to work effectively and gain credibility and respect of others. Lead and persuade others while positively influencing the outcome of team efforts
14

Data Analytics Consultancy Insight & Analytics Senior Associate Resume Examples & Samples

  • Personal / industry qualifications such as ACA/CIMA or MBA are valued but not considered essential
  • Proficiency in a computer programming language such as C++, Java or VBA, Python
  • Experience with other toolsets in relation to the subjects listed above including for example geographic analysis tools, simulation packages and dashboard tools
15

Data Analytics Resume Examples & Samples

  • Leadership of large scale, complex engagements, managing teams of data analysts, and engaging direct with clients
  • Providing oversight, guidance and direction to senior managers / managers / senior associates on multiple concurrent and complex data analytics projects
  • Responsibility for all aspects of engagements such as risk management, project management and client relationships
  • Defining budgets for complex engagements involving multiple workstreams, international teams and disparate systems
  • Heavily involved in development and marketing aspects of the business such as preparing and attending client proposals as well as presenting to large audiences
  • Building strong relationships with clients and senior members of the team
  • Leading the development of analytics strategies for AML end to end testing
  • Data mining to segment customer populations into groups of similarly transacting customer groups
  • Assessing risk models and implementing new models drawing upon understanding of AML / KYC leading processes and policies
  • Assessing AML scenario adequacy and designing enhancements to reduce false positives
  • Making recommendations for improving AML systems and processes, including support for AML governance
  • Motivating and mentoring of junior staff members
  • Experience of using relevant software packages, Norkom, Actimize, Mantis, Fortent
  • Data querying and manipulation programming (e.g. T-SQL, PL/SQL)
  • Data analytics programming (e.g. SAS, SPSS, R)
  • Experience of reporting and OLAP software packages, eg Tableau, Qlikview, Spot Fire
  • Predictive analytics and/or pattern detection
  • Software development lifecycle and methodologies
16

Data Analytics Resume Examples & Samples

  • Extraction and analysis of ERP data from vendors such (e.g. SAP, Oracle Financials, JD Edwards)
  • An understanding of basic accounting principles
  • Data visualization tools such as Omniscope or Tableau
  • Ability to come up with creative solutions to complex problems
  • Exceptional analytical and technical aptitude
  • Ability to manage the time, prioritise tasks and work under tight deadlines
  • Ability to work independently with little supervision, but integrate well into teams
  • High level of enthusiasm, energy and personal integrity
17

Senior Associate Data Analytics Resume Examples & Samples

  • Consulting with clients on business issues, often explaining complex technical concepts to non-technical people
  • Drafting reports and presentations to explain our findings
  • Data analytics programming (e.g. SAS)
  • The ability to come up with creative solutions to complex problems
  • The ability to manage time, prioritise tasks and work under tight deadlines
  • A strong desire to learn and willingness to share knowledge
18

Cib-ett Data & Analytics Resume Examples & Samples

  • Delivery-driven, pragmatic and creative
  • User-centric
  • Innovative in solving difficult problems
  • Ready to learn new technologies, to be challenged and to work in a collaborative environment
  • Work closely with the business analyst, UI designer and dev lead to understand the requirements and create dynamic pages to meet those requirements
  • Adhere to coding standards, procedures and best practices
  • Solid HTML5 experience (3+ years)
  • Knowledge of and experience with Javascript frameworks and charting components – AngularJS, React and other MVC frameworks; Bootstrap, JQueryUI and any other component libraries and charting components like Highcharts, AMCharts or D3
  • Strong knowledge of testing tools and techniques (e.g. jasmine, karma, protractor and selenium/sahi pro)
  • Financial industry experience and knowledge of financial products
  • Ability and desire to work as part of a team, sharing responsibilities and knowledge across the team
19

Manager Asset Protecion Data & Analytics Resume Examples & Samples

  • 5 to 7 years’ experience with Asset Protection and AP related systems
  • Ability to facilitate technical training to non-technical professionals
  • Strong interpersonal skills including ability to work in a cross functional environment and communicate with all levels of the organization
  • Strong ability to influence, hold accountable, and provide objective feedback to others on cross-functional projects and initiatives
  • Strong oral/written communication and presentation skills. Can express complex ideas in simple terms
  • Strong organizational and time management skills
  • Strategic thinking and independent decision making ability
  • Resourcefulness, flexibility and resiliency
  • Experience managing and enhancing talent development
  • Self-motivated and works with a sense of urgency
  • Strong ability to quickly and seamlessly adapt to shifting priorities
  • Strong Microsoft Office skills [Word, Excel (pivot tables, vlookup, and regression analysis), Power Point]
20

Specialist, Data Analytics Resume Examples & Samples

  • Integrate and mine large data sets, connecting data from disparate sources to identify insights and patterns using predictive and prescriptive analytics, and machine learning techniques
  • Conduct intermediate and advanced statistical analysis, such as linear regression, ANOVA, time-series analysis, classification models, neural networks, decision trees, as well as analysis of unstructured data (e.g., social media listening, digital footprints, speech analytics)
  • Prepare and present written and verbal reports, findings, and presentations to key stakeholders, distilling complex statistical information into easy-to-understand business language
  • Manage project budgets and timelines, ensuring times and on-budget completion
21

Cib-ett-data & Analytics Resume Examples & Samples

  • Electronic Trading (Execution core components, Exchange Connectivity, Client on-boarding, DMA, Smart Order Routing - SoR, Algorithmic Trading, Data Analytics etc )
  • Flow Sales and Trading (Front Office Sales and Trading Order Management systems and Reporting)
  • Risk Management and Structured products
  • Middle office Trade Booking and Regulatory
  • Compliance Technology
  • Shares Services (Architecture group, Shared components and QA)
  • Handle day to day issues reported by end users and clients on top priority
  • Ensure system’s health using monitoring tools. Develop a high vigilance to identify system/application issues in early stages to minimize, mitigate and eliminate impact to the application and users
  • Identify the repeating issues and investigate the root cause to help prepare a roadmap for strategic fix
  • Establish an effective channel with AD and Product team in order to understand the issue and/or requirements to enable a flawless communication across the stack
  • Automate the day to day manual tasks to effectively utilize the man hours
  • We need person having 4-5 years of experience in Application Support with exposure to Investment Bank environment
  • Strong communication and analytical skills and experience in working high pressure environment
  • SQL query language, technical exposure
  • Candidate should be open to adapt and learn new technology like KDB+ and Q which is the most used technology in the project
  • Candidate should have good knowledge of Application Support process and should always adhere to the process to ensure stability of the project
  • Investment banking experience is mandatory and experience in equities would be a plus
22

Director of Data & Analytics Resume Examples & Samples

  • Develop and deploy cutting edge analytical capabilities using the latest data science tools and methodologies to power new innovative products
  • Deliver actionable insights to senior business partners on consumer behaviors in commerce and mobile and digital products that inform digital campaign strategies
  • Lead team to deliver analyses and data products in partnership with marketing and product teams
  • Assess analytical capabilities and data offerings of potential partners
  • Meets expectations for attendance and punctuality
  • Occasional work on holidays, weekends and off-peak hours may be required as needed
  • Analytics and Technology Power User (Predictive Modeling, Segmentation, BigData)
  • Data-centric Product Development
  • Work within the Digital Ad and Media Marketplace - Ad Exchanges, DSPs/DMPs, Ad Servers, Agencies or Client Direct, Reporting or Attribution
  • Marketing or Digital Advertising at a brand and/or client campaign level
  • Data-centric corporate spokesperson
  • Strong public speaking and communication skills
  • Microsoft Office, with a high-level of proficiency with Excel
  • Basic programming skills, especially with VBA, would be helpful, but not necessarily required
  • Experience with Tableau &/or MircroStrategy preferred
  • Experience building internal and/or external dashboards
  • Proficiency with statistical analysis tools such as SPSS, SAS, SQL, MS Access a plus
  • Masters/Bachelor’s Degree (statistics, economics, finance, or marketing focus preferred)
  • 6 years + experience
  • Managerial experience required
23

Senior Director Visa Digital Data & Analytics Resume Examples & Samples

  • A bachelor's degree with an emphasis in mathematics, computer science, statistics or engineering is required. An advanced degree from a highly respected academic institution is strongly preferred
  • 15+ years leading highly experienced analytical and product teams
  • Detailed knowledge of systems and processes used in data management
  • Strong working knowledge of applicable technologies & concepts including: data warehousing, data mining, big data; web analytics, A/B testing and dashboard & reporting solutions
  • Deep experience with data mining, data analytics, predictive modeling, and advanced modeling techniques
  • Literate in data technology with a detailed understanding of the data technology architecture, data development lifecycle, and data tools and technologies, and open source technology (e.g,. hadoop, Pig, Hive, mahout, SQL, Map, Reduce, Yarn, HBase) and vendor-specific tools like Impala
  • Experience with business intelligence and reporting tools such as Microstrategy and Tableau
  • Prior experience with large, distributed RDBMS (e.g., Teradata, SAS, DB2, and Oracle)
  • Extensive experience presenting findings to an executive audience
24

Metrician Data Analytics Resume Examples & Samples

  • Must have a Bachelors Degreee in Science or related field
  • Must have strong SQL skill and experience working with large data sets
  • Strong Programming experience in Python or (C#, Java, Perl)
  • Experience in Statistical packages, linear regression will be big plus
  • Master’s Degree in Science or related fiel
  • Actuarial background, preferably near Actuarial Sciences Associate level
  • Knowledge of Oracle
  • Experience with: Predictive Modeling, Text Mining or Hadoop
  • Knowledge of Medical Claims
25

Data Analytics Client Manager Resume Examples & Samples

  • Preferably with specialism in analytics but not required
  • Ability to communicate technical concepts and evangelise the value of analytics to business stakeholders
  • Experience in working with clients to develop and drive a solution and plan to address their challenges
  • Ability to plan, design and scope data-driven solutions for implementation
  • Ability to lead, supervise, coach and develop others
  • Excellent commercial, management and organisational skills
26

Data Analytics Client Executive Resume Examples & Samples

  • Comfortable in using statistical analysis and modelling tools such as SAS, SPSS, R or similar packages and data manipulation languages such as SQL
  • Proficient in data visualisation software such as Tableau, QlikView or Spotfire
  • Experience in ETL and ERP systems (e.g. SAP, Oracle)
  • Ability to drive client delivery and implement according to agreed scope
  • Ability to supervise and develop others
27

Data Analytics Professional Resume Examples & Samples

  • Rigorous yet pragmatic approach to problem solving on complex business problems: designing, developing and documenting analytics based approaches which can be replicated and redeployed
  • At least 2 years’ experience in data driven problem solving – including ‘hands on’ analysis of financial and other data including, analysis using a statistical tool such as R and visualization using Tableau or Spotfire
  • An understanding of the strategic, competitive and economic business challenges facing organizations
  • Experience in developing financially based decision making models with limited or incomplete data to help inform and make better business decisions
  • Naturally inquisitive and ability to think laterally
  • Good communication skills; written, verbal and data visualization. The ability to present complex concepts and data outputs simply to senior leadership and non-analytics professionals
  • Specific sector experience is not necessarily required: however, candidates will typically demonstrate strong analytical capability in one or more analytics domains
  • Delivering strategic analytics insights – Informing the choice of strategic decisions through the use of internal and external data and advanced business modeling
  • Markets business and revenue planning – working with Global, Service Line and Regional leaders to develop strategic, investment and revenue plans for their businesses
  • Business Unit strategy development – Working closely with Service Line leaders to develop new strategies for their business. Typical activities include comprehensive market, competitive, risk and financial analysis as well as delivery of executive workshops to accelerate decision-making
  • Assessment of market growth opportunities and market risks – Taking the lead in understanding external market forces, competitive position and assessing how they impact EY’s service offerings and business operations
  • Support to strategic planning process – Coordinating key processes such as the development of global priorities in the context of overall megatrends
  • Undertaking analysis on projects such as market segmentation, strategic market analysis, and account opportunity predictions by
28

Data Analytics Resume Examples & Samples

  • A bachelor's degree and approximately 3-5 years of related work experience; or a graduate degree and approximately 2-4 years of related work experience
  • Must have experience in the Financial Services Industry
  • Strong business analyst skills
  • Working knowledge of SQL and ETL
  • Deep understanding of Data Integration, Data warehousing, Dimensional Modelling and Data Modelling
  • Working knowledge of RDMS
  • Working knowledge of Oracle, MS SQL Server, and/or Teradata is an asset
  • Experience in predictive analytics
  • Experience with R, SAS
29

Business Analysts Ii / iii Data Analytics Resume Examples & Samples

  • 1) Provide data and solutions to Senior Management related to operations management, control or regulatory issues
  • Prefers 5+ years of related experience (or related coursework) in Statistics, Business Analysis, Process Mining, or related analytics discipline
  • Candidates must have 3+ years experience (or related coursework) in writing SQL and SAS code, including SAS macros programming
  • Experience with Access, Toad, Brio or like applications a plus
  • Must be able to analyze large amounts of data and provide summaries for a variety of management levels
  • Requires knowledge of operations processes, process mapping, process improvement and change management
  • Must have proven ability to work with large-scale/complex issues with all levels of management. Ability to work effectively across functional and organizational lines
  • Key Characteristics: Highly developed analytical skills - Capable of understanding and simplifying large data sets for management communication, presentation skills, detail oriented, able to multitask, prioritization, fast/aggressive learner, able to work with all levels of employees/management, able to meet assigned deadlines (some of them immediate)
  • Results and client focused with a sense of urgency
  • Bachelors Degree in Engineering, Business or Computer Science / MIS discipline a must
30

Data Analytics Resume Examples & Samples

  • Work on client engagement teams in carrying out both reactive and proactive forensic analysis of large amounts of structured and unstructured data involving a wide range of database management software, statistical and predictive machine learning software, and link analysis and data visualization software
  • Work on project activities including data collection and load, data quality assessment, data cleansing and enhancing, complex data transformation, relationship profiling, sampling and extrapolation, segmentation, statistical modeling, segmentation, structured data mining, text mining and analytical matching
  • Work on Data Analysis operations including working with relational database's and analytical packages, such as SQL Server, SAS and SPSS, to analyze data in support of investigations, litigations and other engagements
  • Work in our specialist forensic technology data analytics lab and on site to help clients leverage knowledge from their data for measurement of fraud risks and losses, prevention, continuous monitoring, detection and investigation of occupational fraud, waste and abuse, financial crime and other form non compliant activities
  • Work with clients, fraud examiners, internal and external auditors, lawyers and regulatory authorities in sometimes sensitive and adversarial situations
  • Help to prepare sections of expert reports, including review, analysis and verification of evidence data and identifying key issues
  • Be willing to learn, and with time develop and improve leading edge methodologies applied to forensic data analytics engagement that are both reactive and proactive
  • University graduates with a minimum of three years experience in Data Analytics
  • Skills and experience in SQL Programming and SQL database
  • A team player with an investigative mindset
  • Strong interpersonal skills in a diverse range of situations
  • Excellent command of spoken and written English
  • Traveling expected
31

Ccb Risk Mortgage Banking Risk Data Analytics VP Resume Examples & Samples

  • Ensure that a robust and top-quality Mortgage Risk data environment is available to Risk and non-Risk user community (analysts, reporting team and other key players)
  • Liaison with Technology group to lead the implementation of new Risk data requirements into ICDW, participate in business design discussions and regular user testing activities. Provide Risk’s perspective on data mapping, process analysis and business-rule design while collaborating with Tech and other key teams
  • Execute a strong governance framework for data management to ensure the Risk data is consistently top-quality and has no material defects. When data-related issues are identified, manage speed-to-market resolution through research and analysis, and by engaging appropriate teams
  • 7+ years of relevant work experience in risk or technology areas involving project management, or business intelligence disciplines, preferably in a real estate lending environment
  • Minimum 5 years experience required in one or more of the following: Data warehousing concepts and techniques, data processing, SAS, SQL, or similar tools to access data, and to produce appropriate metrics
  • Bachelor’s degree required, ideally in a business, financial, technical or related discipline
  • Knowledge of the mortgage lending lifecycle, including origination, sale/servicing, default management / loss mitigation, strongly preferred
  • Strong analytical and problem-solving skills, as well as excellent verbal and written communication are must, as this position routinely interacts with employees at various levels, from front-line associates about detailed project business requirements and then summarize into key messages to senior executives
  • Ability to identify issues, seek solutions and gain consensus regarding outcome
  • Team player adaptable to changing environment, with great interpersonal skills
  • Ability to understand complex business functions quickly and to assess the impact and severity of findings and control issues
32

Enterprise Architecture, Data Analytics Resume Examples & Samples

  • Enterprise Architecture Senior Consultants, Managers and Senior Managerswith IT advisory experience assisting clients within diverse sectors including public and oil & gas
  • Participate in IT Advisory engagements
  • Work effectively as a team member, sharing responsibility, providing support, maintaining communication, and updating senior team members on progress
  • Participate and assist in preparing for meetings with target management teams
  • Help prepare reports and schedules that will be delivered to clients and other parties
  • Develop and maintain productive working relationships with client personnel
  • Build strong internal relationships within Ernst & Young Advisory Services and with other services across the organization
  • Contribute to people-related initiatives, including recruiting and retaining IT Advisory Services professionals
  • Maintain an educational program to continually develop personal skills of staff
  • Undergraduate or masters’ degree preferably in one of the following areas: Business Management, Information Systems, Computer Science, Engineering, and other related majors
  • IT advisory experience assisting clients within diverse sectors including public and oil & gas
  • Focus on data analytics and information architecture is highly desired
  • Involvement with extracurricular activities
  • Excellent interpersonal, written, verbal, communication, and presentation skills
  • Solid computer skills
33

VP, Data Analytics Resume Examples & Samples

  • Has, and demonstrates, a passion for leading a data analytic team
  • Has a passion for talent development
  • Has a passion for creating a collaborative environment, within the team and with business partners
  • Has a passion and proven record for utilizing data analytics to solve complex business challenges
  • Has a passion to make data analytics assessable and usable throughout the organization
  • Has a track record for new ideas, approaches and thinking differently
  • Work closely with key business partners to plan and execute high-impact practical, data analytics projects and initiatives
34

Data Analytics Resume Examples & Samples

  • Relevant experience in consulting or industry
  • Ability to lead sales opportunities, develop proposals, respond to client needs and lead sales through to successful conclusion
  • Strong stakeholder management and interpersonal skills with demonstrable experience of engaging at senior levels
  • Track record of managing data project delivery and project teams including ability to meet deadlines, work in diverse and consistently evolving client environments, overcome challenges, balancing multiple projects and priorities while managing stakeholder expectations
  • Understanding of the importance of managing risk and quality on data projects
  • Excellent commercial, negotiation, written and verbal communication skills
  • Strong experience in data manipulation, data visualisation, statistical analysis, data modelling and data architecture
  • Play an important role in the development and growth of the team
35

Data Analytics, For-credit Intern Resume Examples & Samples

  • Personal mentors assigned to each intern based on department needs
  • Unique learning objectives for each student based on departmental goals
  • Opportunities to learn multiple aspects of business
  • Ability to connect with top industry professionals and lay the groundwork for your future
  • Maintain dashboards, preparing ad hoc, daily weekly, and monthly reports to track KPIs and monitor performance
  • Take exported data (usually a csv or excel file) information provided by the analyst to populate into an excel report template for analysis and reporting
  • Utilize various web analytics and reporting portals to pull data for analysis and reporting
  • Assist the primary analyst in reporting and creating the commentary on performance of the various WWE digital assets indicating what is driving growth or decline in the key metrics
  • Must be a college Junior or Senior and eligible to receive college credit
  • Proficient in MS Excel
  • An interest in math and/or engineering preferred
36

Intern, Data Analytics & Measurement Resume Examples & Samples

  • Work with, manipulate, and analyze raw data from a variety of sources including social media, digital platforms, conversion data, or other first-party client data
  • Develop data-driven insights and strategy recommendations that speak to our clients business goals
  • Create easy-to-understand presentations and data visualizations
  • Collaborate with the analytics team to create more innovative and efficient analytics products and services
  • Support new business pitches with research and analytics strategy recommendations
  • Support the Analytics Product Manager in creating client dashboards and other data products
  • Strong analytical skills and ability to interpret a variety of types of data
  • Ability to generate and clearly communicate insights from raw data
  • Interest in contributing to a growing team and product set in a fast-paced and quickly changing environment
  • Strong writing and presentation skills in English language
  • Experience with, or interest in learning, one or more of the following tools: Radian6, Datasift, Sysomos, Tracx, BrandWatch Facebook Insights, Twitter Analytics, YouTube Analytics, SimplyMeasured, Google Analytics
  • Knowledge of, or interest in, SQL, Python, C++ is a plus
  • BA/BS required
  • Strong interest in learning about analytics, data, research in digital communications
37

Senior Principal, Director of Data Analytics Resume Examples & Samples

  • Bachelor’s degree required, Insurance degree a plus
  • MBA or equivalent business/financial skills preferred
  • State Life and Health license
  • Professional designation/certification preferred (RHU, CLU, CPA, FSA, ASA, EA, CEBS)
  • Twelve or more years of insurance industry or comparable experience
  • Eight or more years of analytical work related to employee benefit programs preferred
  • Advanced Knowledge of insurance products, and underwriting/financial analysis to specifically include the following
  • Health, Dental, and Vision plans
  • Consumer-driven healthcare, wellness, disease management, and current trends
  • Regulatory environment of employee benefits plans including ERISA and Healthcare Reform
  • Life (term, permanent, etc.), LTD, STD, and state-required disability plans
  • Strong analytical, math and problem solving skills
  • Ability to influence and negotiate
  • Advanced Presentation skills
  • Project Management skills
  • Computer skills which include proficiency with Microsoft Word, and Power Point, and advanced skills in Excel as well as navigation within the Internet
  • Advanced database skills
  • Continually improves knowledge and skill proficiency
  • Takes responsibility for own and others development needs
38

VP Data Analytics Credit Review Resume Examples & Samples

  • Creation, delivery, and validation of decision models, credit portfolio performance metrics, program metrics, results data, status reporting, and other information to help support and drive the audit process
  • Drive reporting automation and data visualization strategy which may include SQL Reporting Services or other Business Intelligence platforms which also support a level of self-service
  • Detailed analysis of Consumer Banking originations systems related data with the goal of developing reporting, conclusions, and recommendations
  • Partner with team members including various levels of management to gather information relevant to reporting
  • Identify improvements and leverage technology to automate and streamline existing processes
  • Generate ad-hoc reports or presentations with limited lead time as required by senior management
  • Assist team and support additional functions as needed
  • 7+ years experience as a Business Analyst focused on reporting
  • Experience with developing and delivering reports, scorecards, dashboards, and other metric mediums
  • Proficient in developing and documenting processes and procedures
  • Very detailed oriented with strong problem solving and organizational skills
  • Strong analytical and problem solving - proven critical thinking ability; can understand all the available information, tie it all together, and speak to it clearly and concisely
  • Solid interpersonal, communication, and collaboration skills with a demonstrated ability to interact with all technical and non-technical members of the organization
  • Possess the ability to set priorities and work with limited direction to achieve desired goals and results
  • Self motivated with the ability to prioritize and manage multiple tasks simultaneously
  • Flexible in nature with the ability to thrive in a fast-paced and changing team environment
  • Solid understanding of Chase business environment, retail banking and/or banking systems knowledge preferred
  • Expert in Excel and SAS
  • Knowledge of Business Objects, SQL-based query tools
  • Experience with lending originations systems a plus
39

Data Analytics Resume Examples & Samples

  • Provide Data Analytics support to the global Internal Audit department
  • Provide Internal Audit analytics to identify risks and root causes
  • Turn business questions into functional analysis – understands the business as well as the data behind the analysis and can clearly communicate results and recommendations
  • Present actionable data and analytics to Business Auditors and other relevant stakeholders
  • Provide technical and data expertise to the data analytics group, including being conversant with and cognisant of relevant technology solutions or tools
  • Work closely with technical teams based in Switzerland, EMEA, APAC and Americas to streamline the process of extracting data from source systems and migration into the analytics environment
  • Help business teams develops auditig programs based on analytics with a focus on reusability and continuous monitoring
  • Monitor performance of existing and/or new automated programs to optimize results
  • Serve as an internal expert in data sources, methodologies, and data interpretation of constraints present in the business environment
  • Develop and use new ways of presenting data analytics to business stakeholders which is easier and faster to comprehend
  • Participate, when required, in Data Analytics team and Communities of Interest (COI) meetings
  • Participate in data management audits as required
40

AVP GRC Systems & Data Analytics Resume Examples & Samples

  • Support the GRC System & Data Analytics team and management in their daily tasks and collaborate with our business partners
  • Research systems and data conditions within GRC applications and processes to determine root causes of potential issues, identify possible corrective action, variance analysis and recommend ongoing monitoring processes
  • Gather, clarify and translate process and data requirements into documentation and conceptual design from which technical solutions may be developed
  • Assist GRC management in identifying and managing daily tasks, data issues, risks and opportunities
  • Research, analyze, and recommend data solutions which meet the business needs for the GRC applications and associated projects. Interface with key GRC business users and BTS technical staff to translate business user requirements into technical data documentation such as data use cases, data process diagrams, functional design documents, and other system documentation required by GRC
  • Identify and evaluate data and systems process improvement opportunities for existing GRC applications
  • Work closely with GRC business users and BTS technical staff to understand business processes and develop subject matter expertise in GRC data, processes and applications
  • Actively participate in team and project meetings
  • Take ownership and manage assigned GRC incidents and work requests and assist, where appropriate, the work undertaken by the GRC and BTS teams
  • Experience with SQL as a tool to research and identify data conditions within LPL Applications, systems and processes
  • Strong problem solving skills, written and verbal communication skills with both technical and non-technical audiences
  • MS Office applications, including Word, Excel, and MS Project
  • Experience in Data Analysis, Data Processing, Data Warehousing, Master Data Management and Business Intelligence Reporting
  • Scripting experience with SQL
  • Report authoring experience with a major business reporting tool – e.g. Business Objects, Hyperion, Microsoft SSRS/SSAS, Cognos, MicroStrategy, etc
  • Bachelor’s degree (B.A. /B.S.) from four-year College or University; or minimum 7 years related experience and/or training; or equivalent combination of education and experience
41

Data Analytics Specialists Resume Examples & Samples

  • Strong Technical Skills: Experience of applying data analytics techniques, whether ETL process, script writing, designing and delivering analysis tests or interpretation of the results
  • Internal Network: To represent the Technology Risk team at office and firm meetings as required
  • Experience using data visualisation and analysis tools such as Qlikview, Tableau, IDEA or ACL would be desirable although not essential, as training will be provided
  • It would be desirable to have experience of the data structures and data management systems such as Oracle, MYSQL, MSSQL
  • Strong People Management skills
  • Strong communication skills (both written and oral) and first rate interpersonal skills at all levels
  • Excellent team player but also confident working on own initiative
42

VP, Data Analytics Resume Examples & Samples

  • Lead a cross-business shared capability dedicated for using advanced data analytics to solve complex business problems
  • Interact regularly with senior executives across Prudential as strategic partner, influential thought leader, and trusted advisor
  • Manage, coach, inspire and build out a team of sophisticated and pragmatic data scientists
  • Drive pragmatic approaches to solving key business problems through utilizing multivariate statistics, predictive modeling, machine learning, segmentation, optimization, recommendation engine development, and other advanced techniques
  • Advise on implementation of advanced data analytics models with effective and practical short- and long-term solutions within the businesses
  • Develop and refresh efficient processes for data extraction, aggregation and harmonization to accelerate analyses and speed to market
  • Contribute to the transformation of the culture at Prudential from a product- to a customer-centric orientation
  • Partner with key enabling groups in business, technology, information security, finance, risk, law, and compliance to ensure efficient and effective data management standards, access, and controls, and protect the interests of Prudential and its customers
  • Experiment and innovate with data sources and approaches, tools and techniques to continuously bring new ideas and develop new capabilities
  • Initiate and manage strategic external partnerships to supplement internal advanced data Analytics capabilities, as desired
  • Technical expertise, e.g., quantitative/statistics, engineering, computer science or related background
  • Ability to establish a clear vision and strategy, as well as transform it into action
  • Superior communication and persuasion skills; talent for storytelling, visualization and creating insights from data in order to deliver practical recommendations for business action
  • Proven relationship and partnership skills; ability to influence and drive outcomes in large, matrixed and complex organizations
  • Leadership and experience managing teams of professionals
  • Entrepreneurial spirit, persistence, and resilience; comfort with and ability to thrive on and drive change
43

Product Owner Data Analytics Platform Resume Examples & Samples

  • Initiate, build and sustain productive relationships
  • Serve as Product Owner for the Helix Audit analytics suite of tools, including delivery of Helix Early Version as well as envisioning and enabling evolution of the suite over time
  • Monitor and manage end-to-end delivery of the audit analytics portion (analytics generation, provisioning, and visualization) of the overall program within scope, time and budget
  • Evaluate and identify potential redundant applications, infrastructure and tools
  • Manage, negotiate and resolve project risks effectively
  • Strong domain knowledge in Data Analytics, Business Intelligence, Data Warehousing, and Big Data Analytics technologies to include Analytics Visualization (perhaps in a professional service environment)
  • 12+ years of project delivery and client relationship management in a technology environment
  • Ability to develop strategic plans and translate them to actionable roadmaps
  • Strong people leadership skills. Proven track record in managing geographically dispersed, diverse teams of 40+ people plus including employees, contractors and 3rd party resources
  • Initiates, builds and maintains productive customer relationships
  • Flexibility to adjust to multiple demands, shifting priorities, ambiguity and rapid change
  • 12+ years in a corporate technology or consulting environment working with multiple disciplines to deliver projects in line with customer needs
  • Work experience in a professional services industry, preferred
44

Head of Data Analytics Resume Examples & Samples

  • Minimum of 8 years experience in data analytics roles
  • Experience managing a team and mentoring individuals
  • Experience leading high profile analyticals project across of number of teams or departments
  • Knowledge of statistical modelling tools (R,Python,SAS,SPSS)
  • Knowledge of data management, ETL and datawarehousing an advantage
  • Extremely well organized, analytical and capable of handling multiple projects and stakeholders
  • Passion for learning new skills and new approaches to data analytics
  • Ability to lead multiple tasks and meet strict deadlines
  • Strong commercial acumen and ability to self start
  • At least an MSc (preferably PhD) qualification in a quantitative discipline (Computer science, mathematics, statistics, quantitative methods, Machine Learning)
45

Head of Data Analytics Resume Examples & Samples

  • Manage predictive analytics projects from business understanding to results generation
  • Managing the business integration of analytics projects
  • Apply data mining, statistics and machine learning to understand customer behavior and predict future patterns
  • Conducting analysis to develop customer segmentations, improve customer satisfaction, and generate profitable growth
  • Inform the business of customer insights and deliver recommendations to drive the business forward
  • Manage the relevant stakeholders to ensure an optimum result
  • Ensure all process and procedures are clearly documented
  • Experience with predictive analytics/statistical modelling such as Regression, Decision Trees, Random Forests is a requirement
  • Previous experience with clustering, cases base reasoning, natural language processing or managing online click data an advanatage
46

Ccb-mortgage Risk-data Analytics VP Resume Examples & Samples

  • Support key data initiatives for Mortgage Banking Risk including but not limited to the firm-wide initiative for BCBS compliance
  • Lead development of business requirements, testing scripts creation and execution to deploy reports in target state environment
  • Engage with CCB/MB Risk, Technology and Program teams on data management and migration initiatives
  • Participate in development of robust testing strategy to validate data delivery thru migration and/or new business requirements
  • Minimum 5+ years of experience in business analysis, data analysis, business process engineering and technology integration projects
  • Bachelor’s degree required. MS degree preferred
  • Ability to work and influence in a cross function environment
  • Strong organizational & planning skills
  • Critical thinking skills to conduct root cause analysis and driving solutions to address identified gaps and issues
  • Strong verbal, presentation and communication skills
  • Strong Excel, Word, Power Point skills
47

Head of Data Analytics & Business Intelligence Resume Examples & Samples

  • Data preparation
  • Reporting, analytics, data exploration
  • Information delivery
  • BI competency centre or centre of excellence (BICC or BI COE)
  • Plan and implement the overall analytics and business intelligence strategy in order to better understand market and consumer motivations
  • To actively provoke and facilitate action from contextualised insight that drives the business forward
  • Lead the design and development of analytical projects designed to understand key business behaviours that drive customer acquisition, retention and engagement
  • Identify opportunities to develop forecasts, statistical models, collection, analysis, interpretation and sharing of all customer and market research and insight
  • Oversee all aspects of analytics and business intelligence projects and project based research requirements for the Marketing Department and company as a whole
  • Discover new opportunities to optimize the business through, consumer and customer insights using market data, consumer data and research from across the business
  • Network and collaborate effectively in a multi-product, matrix organisation
  • Develop and maintain reporting and analytical tools, KPI Dashboards & Reporting
  • Supervise Analytics team and ensure that the team meets the reporting and analytical needs of the business
  • A degree in computer science, mathematics, operations, management, or a related field is required
  • A minimum of 5 years of progressively responsible experience in a directly related area
  • Extensive expertise in data modelling, both logical and physical
  • Extensive experience in multidimensional data modelling, such as star schemas, snowflakes, denormalized models, handling "slow-changing" dimensions/attributes
  • Proven experience in delivery of large scale BI/Analytics platform across multi-national or large scale organisation
  • Experience with agile software developement
  • Extensive experience interacting with C-level executives
  • Experience managing large complex BI projects and teams
48

Pure Data Analytics Resume Examples & Samples

  • At least 2 years experience in remote technical support experience
  • At least 2 years experience in external client communication
  • At least 1 year experience in Linux or Unix (Command Line)
49

Specialist, AML Data Analytics Resume Examples & Samples

  • Experience in data, statistical and predictive analytics/modeling to drive business or risk management solutions an asset
  • Expertise in SAS, SQL, R, SPSS, or similar toolsets; TIBCO Spotfire experience an asset; exposure to Java, C++, Python, Ruby Rail, VBA skills highly desirable
  • Experience in adapting statistical and machine learning techniques for practical applications
  • Sound knowledge of data warehouse, schema and manipulation concepts and experience in building both effective and efficient data queries
  • Experience working in an Agile environment and leveraging Agile methodology and asset
  • Knowledge of risk analysis methodology and business applications development processes
  • University post-graduate degree in Computer Science, Math, Statistics, or related discipline preferred
  • Related industry experience in risk analytics, data mining an asset
  • Strong analytical skills for complex problem solving
  • Detail oriented with strong organizational skills
  • Good understanding of emerging technologies
  • Self-motivated and goal-oriented
  • Currently pursuing or interested in pursuing an AML certification (e.g., CAMS)
  • Analytical Thinking (in-depth)
  • Problem Solving (in-depth)
  • Applied Innovation (in-depth)
  • Analytics and Modeling (in-depth)
  • Influence (strong)
  • Consulting (strong)
  • Systems Management (sound)
  • Business Environmental Understanding (sound)
  • Project Management (sound)
50

VP of Data Analytics Resume Examples & Samples

  • Build upon existing data analytics processes and plans to implement long-term organizational data roadmap
  • Develop and implement a corporate data governance model
  • Champion the implementation and adoption of new analytics initiatives both conceptually and in the fulfillment of critical tools and processes
  • Work with internal and external stakeholders to develop tools and services such as modeling, dashboards, hypothesis generation and testing, scorecards, and data insights
  • Develop innovative analytic solutions for website activity, online advertising, email/e-CRM programs, mobile marketing, social media, and other emerging trends that help move our businesses forward
  • Develop strategies to guide what data should be captured, how it should be captured, and what actions should be taken as a result
  • Develop analytic practices across the dimensions of rigor, quality and insight
  • TV, Entertainment, Media, or Sports industry experience strongly preferred
  • Proven experience in building analytics function/capabilities including staff, tools, and processes
  • Familiar with consumer-facing products and the product development lifecycle
  • Strong knowledge of marketing, media, social, web site analysis, audience targeting tools, and vendors, including both quantitative tracking and research methodologies
  • A deep and broad understanding of core and emerging analytics methods and approaches and how they can be deployed to drive value within a digital business
  • Demonstrated ability to apply cutting edge statistical techniques to business problems and to leverage external thinking
  • Able to effectively analyze, review, diagnose, and quality check modeled results
  • Strong organizational, communications (both verbal & written), presentation, time management, and interpersonal skills
  • Self-motivated with a “roll up your sleeves” work style
  • Bachelor degree in quantitative discipline (e.g. engineering, math, statistics, etc.)
  • Advanced degree in mathematics, statistics, econometrics, or related field of study preferred
51

Specialist, Data Analytics Resume Examples & Samples

  • Masters degree in Mathematics, Statistics, Engineering, Computer Science, or a quantitative discipline plus a minimum of 2-3 years of work experience, or bachelors degree plus 5 years work experience
  • Experience analyzing large data sets using statistical software, such as SAS, R, Python, and SPSS, to discover new business insights
  • SQL Programming and experience of at least one DBMS such as IBM DB2, Oracle, SQL Server or Sybase are required. Java strongly desired
  • Prior experience with building models, analyzing unstructured data, and/or machine learning
  • Prior academic and work experience in Statistics, with exposure to data structures and data visualization
  • Well developed written and oral communication skills, with ability to present and explain data to business manager
  • Some prior exposure to financial services or insurance industry desired
52

Senior Specialist, Data Analytics Resume Examples & Samples

  • Integrate and mine large data sets, connecting data from disparate sources to identify insights and patterns using traditional as well as predictive and prescriptive analytics. Source, scrub, and join relevant public, commercial, and proprietary data sources
  • Conduct intermediate statistical analysis, such as linear regression, ANOVA, time-series analysis, and classification models
  • With guidance, perform advanced statistical analysis, such as development of production-ready algorithms, neural networks, decision trees, as well as analysis of unstructured data (e.g., social media listening, digital footprints, speech analytics)
  • Develop and maintain consultative relationships with key business stakeholders
  • Summarize findings in written and verbal reports to key stakeholders, communicating with both technical and non-technical team members
  • Prepare and present complex written and verbal reports and presentations to key stakeholders
  • Apply knowledge of Prudentials U.S. businesses and corporate groups and relevant industry knowledge to analysis and insights, with a focus on what it means and actions to consider
  • Oversee project planning, vendor management, and key stakeholder relationships on a project-by-project basis
  • Manage project plans, timelines, and vendor relationships to ensure projects are delivered with the highest quality, on time and within budget
  • Contribute to learning and development of junior staff
  • Advanced degree in Mathematics, Statistics, Engineering, Computer Science, or a quantitative discipline
  • A minimum of 5 years of relevant work experience in data analytics, market research, customer knowledge, or consulting
  • Experience analyzing large data sets using statistical software, such as SPSS, SAS, or R, applying a variety of statistical techniques such as regression, discriminant analysis, cluster analysis, CART, and CHAID segmentation
  • Excel and PowerPoint a must. Programming experience strongly desired
  • Prior experience with building custom statistical models, analyzing unstructured data, and/or machine learning highly desirable
  • Well developed written and oral communication skills, with ability to present and explain data to business managers
  • Strong project management skills / experience managing projects, budgets, and schedules to successful completion
53

Data Analytics, For Credit Intern Resume Examples & Samples

  • Gain relevant experience in your field so that you may apply your skills for your future job search
  • Maintaining dashboards, preparing ad hoc, daily, weekly, and monthly reports to track KPIs and monitor performance. This would include the following
  • Available to work a minimum of 25 hours per week
  • Professional demeanor is essential
54

Data Analytics & Business Intelligence Intern Resume Examples & Samples

  • Basic development of SQL Server data extraction and transformation packages and/or basic .NET development
  • Participate in requirement and technical specification sessions and provide analysis
  • Provide support to end users for in-house developed applications and data extraction processes
  • Participate in root cause issue finding efforts
  • Pursuing a BS or MS degree program, related to Computer Science or Computer Engineering
  • Students must have a minimum GPA of 2.8/4.0 scale (no rounding)
  • Full time enrollment at an accredited 4 year university or college at time of internship required
  • 30 completed semester hours prior to start of internship and must be enrolled for upcoming semester
  • If a transfer student, must have 12 completed semester hours at an accredited 4 year university or college
  • Formal experience with writing code and software development in a classroom environment
  • Strong problem solving and communication skills
  • Excellent attention to detail
55

VP, Data Analytics Resume Examples & Samples

  • BS/BA degree in Computer Science/Information Technology or related discipline required. MS or PhD degree preferred
  • 10+ years in management, and operational and/or technology experience. Cross functional management experience
  • 8+ years’ experience leading Data Analytics
  • 5+ years’ experience managing project teams including: on-time delivery, building a team to support, working with senior level project stakeholders, and leading team to project completion
  • Experience working with an international company, with multiple locations preferred
  • Experience leading global teams, either with direct reporting relationships or matrix organization
56

Data Analytics Resume Examples & Samples

  • SQL Skills / Data analysis skills
  • Knowledge and experience of all phases of software development (including requirements analysis, design, coding, testing, defect management
  • ETL experience / experience gathering data from various sources
  • Exposure to business intelligence, data warehousing or advanced analytics projects
57

Data Analytics Assistant Resume Examples & Samples

  • Analyze big volumes of data
  • Prepare different statistics, reports and analyses based on requirements
  • Communicate the results to superiors or to clients
58

Data Analytics Resume Examples & Samples

  • Design analytics test to support audit activities, including Audits, Continuous Monitoring, and Risk Assessments
  • Develop and improve current analytics service models in support of audit activities
  • Actively participate in the Audit Data Analytics forum, and contribute to the conversation
  • Partner with peer Data Analytic teams in sharing ideas to add value to the audit department and firm
  • Develop innovative, re-usable tools that can be leveraged by the audit teams
  • Perform data analysis as needed using various techniques (statistical analysis, predictive analytics, forensics review) to reach and support conclusions
  • Comply with JPMorgan Chase technology and data standards and policies
  • Stay abreast of new tools and technologies to assist the team in creating the most efficient and effective data strategies
  • Develop requirements, design, code, test, and analyze results using tools such as Microsoft Access, Business Objects, SQL, TOAD, and ACL
  • Recommend solutions as part of planning to help execute audit tests by providing the ability to automate full-population testing, sampling, reproducing processes, and identifying exception testing
  • Minimum of a Bachelor's degree in Technology (MIS, Comp Sci), Business, or related discipline
  • 7 years of related experience, combination of risk, control, or audit and data analytics experience is a plus
  • Detailed knowledge of technology infrastructure and associated risk and controls are a plus
  • Proven track record of developing and delivering a sustainable analytical tools and processes
  • Experience with software to query and present data such as Excel, ACL, SQL, QlikView, ERP etc
  • Experience with some or all of the following: Business Objects, ACL, SAS, Teradata, TOAD or SQL required
  • Excellent verbal and written communication and interpersonal skills
  • Enthusiastic, self motivated, effective under pressure and willing to take personal responsibility/accountability
  • A high level of professional maturity and the ability to work/deliver with limited supervision
  • Excellent partnership and influencing skills and the ability to be effective in a matrix environment
  • Proven ability to oversee several tasks concurrently in an efficient and effective manner with a track record in creative and successful problem-solving
  • Prepared to travel as required
59

Ccb-mortgage Risk Data Analytics Resume Examples & Samples

  • Assemble, compile, test and analyze information, and resolve errors/inconsistencies in data from source systems
  • Provide portfolio, modeling, BCBS or CCAR data support and research of a simple to complex nature
  • Participate in the collection, integration, testing and analysis of data
  • Advise management by assembling, interpreting and summarizing data, preparing reports, making presentations of findings, analyses and recommendations
  • Creates analysis of data to evaluate strategy, or operational performance
  • Support various special projects, ad hoc analysis and reporting initiatives
  • Develop, research and test reporting, modeling or analytic data sources to be used by the Risk data analysis community
  • Document in a clear and concise manner all data sources developed for the Risk data analysis community
  • Promotes a constructive, positive team environment and maintains a spirit of openness, information sharing inquisitiveness, problem-solving and support for common goals
  • Perform impact analysis to assess impact of source logic changes
  • Ability to allocate time efficiently; handle multiple demands and competing priorities
  • Strong time management skills, fast learner, self‐ motivated, and comfortable taking initiative and handling multiple projects simultaneously
  • Ability to problem solve by analyzing and challenging conventional thought processes and using experience and/or intuition to create pragmatic solutions
  • Bachelors in Finance, Computer Science, MIS or real life experience equivalent
  • 7+ years experience working in Oracle or Teradata environments
  • 5+ years Mortgage Default Servicing or Risk Management
  • 5+ years Reporting experience preferably within the financial services industry
  • 5+ years Data Warehousing experience
  • 5+ years Data Analysis experience
  • 2+ years SSIS experience a PLUS
60

Data Analytics Resume Examples & Samples

  • Partner with AM/CB auditors/managers to analyze needs and recommend solutions to help execute audit activities in the most effective way by enabling full-population (vs. sampling) testing
  • Perform full-population data retrievals and/or sampling on large data sets, independently re-perform business processes, and identify exceptions
  • Design data analytics queries/tools to support various types of audit activities including: Audits, Continuous Monitoring, Issue Validations, Risk Assessments, and ad-hoc reporting
  • Develop requirements, design, code, test, and analyze results using available tools/infrastructure to provide support on audit activities using available tools/infrastructure
  • Proactively identify key data sources and obtain access/feeds/files necessary to perform data analytics for AM/CB audit testing and continuous monitoring
  • Manage relationship and communication with key stakeholders (audit managers) of the assigned CIB businesses covered
  • Develop innovative, re-usable self-service tools that can be leveraged by the auditors
  • Partner with peer data analytics teams to share ideas and enhance skills across the Audit department
  • Minimum of a Bachelor's degree (Data Analytics, Audit, Computer Science, MIS, or Accounting preferred)
  • 5+ years of related experience (financial services, internal audit, data analytics, technology, compliance or risks/controls)
  • Detailed knowledge of Wholesale banking operations, products, and regulations, are a plus
  • Experience with some of the following in order to query, transform, and/or present data: Excel/Access/VBA, SQL, QlikView, ACL, SAS, Monarch, Business Objects, Teradata, TOAD, BRIO/Hyperion, Tableau, Spotfire, Splunk, etc
  • Stay abreast of new tools and technologies to assist the team in creating the most efficient and effective solutions
  • Ability to learn to use new software or languages as necessary
  • Excellent partnership and influencing skills
61

Workforce Data Analytics Predictive Modeler Resume Examples & Samples

  • Strong experience in creating scalable and dynamic Excel models. Predictive modeling is a strong plus
  • Strong experience in creating predictive models in Excel
  • Practical knowledge and application of predictive modeling and statistical methods – such as R and/or SAS
  • Use of advanced SQL and/or VBA programming to manipulate and manage complex data structures
  • Understand complex data structures, strong logic and analytical skills, including data analysis and problem solving
  • Use of data visualization and reporting systems such as Tableau or Spotfire
  • 3+ years work experience in analytics, running projects from beginning to end, delivering results to senior level leaders, training teams on tools developed
  • Developing, implementing, monitoring and testing qualitative models
  • Experience in the professional services, data supplier or consulting environment
  • Using relational database, including the development of SQL queries to extract and manage large volumes of data for use in creating dashboards, data visualizations, and home grown models or analyses
  • Have proven extensive relevant experience in understanding data analysis and research functions
  • Proven track record of working with a senior stakeholder population
62

Administrator, Data & Analytics Resume Examples & Samples

  • Coordinate technology briefings, consolidate status reporting and track key issues and action items assigned by technology executives
  • Coordinate large and/or VIP meetings, group meals, and manage a small number of conference room schedules. Coordinate communication activities across the Solution Assurance department
  • Daily management of department activities including scheduling meetings, coordinate group meals and workshops / training sessions. Coordinate business travel, prepare and audit expense reports
  • Coordinate with Enterprise Financial Services (EFS) to research financial issues related to contractors and time tracking
63

Senior Associate, Data Analytics Leader Resume Examples & Samples

  • 60% Collects and uses R&D data sources to support key performance indicators, risk models, and the R&D Compliance Index. Activities include but are not limited to managing the R&D Compliance Index, delivering output on a regular schedule and as appropriate supporting management review meetings
  • 20% Participates or facilitates root cause analysis by reviewing audit and inspection observations, collaborating with R&D audit coordinators, contributing to audit and inspection responses
  • 20% Participates in the CAPA program by partnering with QAC colleagues and business partners to ensure CAPAs are developed and completed on-time
  • Bachelor’s degree in a science, business or technical related field is required
  • Previous experience in data management and analysis is required
  • Minimum 3 years in R&D, Data Management or Quality Assurance in a Pharmaceutical environment supporting GxP system is required
  • Knowledge of US, EU, ICH regulations, guidelines and requirements
  • Inspection support experience is desirable
64

Data Analytics, For-credit Intern Spring Resume Examples & Samples

  • Receive college credit for this beneficial, real-life experience
  • Enjoy our unique entrepreneurial culture within the context of a successful business environment
  • Effective verbal and written communication skills
  • Prefer background in mathematics, engineering, or statistics
  • Available to work a minimum of 20 hours per week
  • Must be a college Junior, Senior or Master’s Candidate and eligible to receive college credit
  • Preferred candidates have a 3.0 GPA or higher
65

Tt-tick Data & Analytics Resume Examples & Samples

  • Strong experience in Unix/C++ based system development (Multi-threading/IPCs)
  • B.E/B.Tech/M.Tech Degree in CS/IT
  • 4+ years’ experience in SQL/Oracle
  • Good knowledge of any of the asset class (Equities/FX/Rates)
  • Hands on Unix/Linux commands
  • Ownership mentality
  • Strong aptitude
  • Ability to work effectively under pressure
66

Business Intelligence Data & Analytics Resume Examples & Samples

  • Filter and “clean” data, and review reports and performance indicators to locate and correct code problems
  • Exemplify the desired culture and philosophies of the organization
  • Proficient in scripting and query languages (SQL)
  • Technical Skills: SQL,C#, .net
67

Data Analytics Resume Examples & Samples

  • Manage the team and lead the relationship with CCB technology and business auditors to provide analytics services and consultation to the auditors
  • Engage in the annual planning process and provide governance and oversight for the team and the auditors
  • Coordinate resourcing and assigning the team to audit activities
  • Provide metrics and monitoring to measure performance, quality, and delivery of services
  • Actively participate in the Audit Data Analytics forum, and contribute to the conversation with peers and the Director of Audit analytics
  • Use data from multiple sources to drive the identification of corporate wide risks and issue themes
  • 9 years of related experience, combination of risk, control, or audit and data analytics experience is a plus
  • Detailed knowledge of Consumer Banking business, products, services, and regulations are a plus
  • Ability to build strong partnerships across the technology and business teams
68

Data Analytics Resume Examples & Samples

  • As a seasoned professional applies solid understanding of internal audit standards, policies, and local regulations to provide timely audit assurance
  • Contributes to the development of audit processes improvements
  • Applies solid understanding of how internal audit collectively integrates with line management and control functions to accomplish the objectives of the function and overall business
  • Performs moderately complex audits related to Consumer or Investment Banking, technology management; project/program management; or supplier management in accordance with corporate methodologies and professional standards, including drafting of audit reports, presenting issues to the business and discussing practical solutions
  • Completes assigned audits within budgeted timeframes, and budgeted costs
  • Provides coaching to team members in all phases of the audit process
  • Monitors the risk environment and assesses the emerging risks through the Business Monitoring process
  • Recommends appropriate and pragmatic solutions to risk and control issues
  • Applies knowledge of key regulations to influence audit scope
  • Develops effective line management relationships to ensure strong understanding of the business
  • Pro-actively develops automated routines to help focus audit testing
  • Drives the innovative use of audit analytics through direct participation in all phases of audits (i.e., business monitoring, planning, fieldwork, reporting)
  • Applies understanding of business processes, risks and controls to identify opportunities to enhance audit efficiencies and effectiveness through the development and delivery of automated processes
  • Defines data needs, designs and executes audit analytics during audits in accordance with the audit methodology and professional standards
  • Strong verbal and written communication skills to clearly articulate analytics requirements and results, and make practical recommendations for analytics enhancements
  • Develop professional relationships with product and technology audit teams to assist in the definition of audit analytics opportunities for assigned audits and business monitoring activities
  • Develop effective working relationships with technology and business management of the area being audited
  • Promote the use of audit analytics and provide training to team members regarding the use of analytics to enhance all phases of the audit process
  • Promote continuous improvement in all aspects of audit automation activities (e.g., technical environment, software, operating procedures)
  • Intermediate level experience in a related role with experience in business, functional and people management, with proven abilities in taking responsibility for issuing to stakeholders high quality deliverables according to strict timetables
  • Specific subject matter expertise regarding technology application control disciplines and a solid business understanding of various financial services products
  • Effective negotiation skills, a proactive and 'no surprises' approach in communicating issues and strength in sustaining independent views. This individual must be an articulate and effective communicator, both orally and in writing, with an energetic, charismatic and approachable style
  • Strong interpersonal skills for interfacing with all levels of internal and external audit and management
  • Excellent technical, programming, databases and web development skills
  • Proficiency in at least five of the following technical skills
69

Data Analytics Internship Resume Examples & Samples

  • Basic understanding of SAS
  • Demonstrated strong written and verbal communication skills to technical and non-technical audiences
  • Proficient in at least 1 programming language (e.g., Python, Java, C, etc.)
  • Senior or recent graduate with a Bachelor's degree in a technical field such as Statistics, Mathematics, Computer Science, Economics or a related quantitative field
  • 0 G.P.A
  • College transcripts (official or unofficial) - Please upload your transcript while completing the online application
70

VP-data Analytics Resume Examples & Samples

  • 8+ Years of Total Work Experience
  • Data management skills
  • SQL/Teradata/SAS skills
  • Experience in reconciliation analysis
  • Subject matter expertise in data quality rule development
  • Mortgage banking data expertise
71

Data Analytics & Insights Resume Examples & Samples

  • Understanding client requirements in regards to business intelligence, reporting, and analytics
  • Development of prototype solutions, reports and dashboards, and robust analytics to support analytic insights and visualization of complex data sets
  • Provide optimization recommendations that drive KPIs established by media, marketing, research, operations, PR teams, and others
  • Translation of business requirements for the analytic platform(s) into technical requirements for the technology engineering teams
  • Deliver analytics to support decision-making including website, product, and marketing efforts
  • Leverage social analytics tools such as Crimson Hexigon’s ForeSight to track, trend, and analyze consumer behaviors, expressed preferences, and response to media and marketing efforts of the Studio
  • Actively mine social networks to recognize opportunity for amplification, crisis identification and response
  • Leverage analytical tools (Omniture and Google Analytics) to understand onsite behavior, e.g. click through rates, golden pathways, conversion analysis, marketing effectiveness
  • Develop and deploy testing hypotheses and analyze test results, providing the necessary analytical rigor to ensure data quality, consistency, repeatability, and accuracy of insights
  • Apply data science skills to develop more advanced solutions that drive action in the business
  • 1 - 3 years of experience in research and social media
  • Strong knowledge of Google Analytics, Omniture, Kochava, and/or other web or mobile analytic toolset
  • Proficiency with social media analytics provided by Facebook, Twitter, YouTube, FourSquare, Pinterest, Instagram, Tumblr. Ability to extract data and combine with other data sources to develop a rich, complete picture for the business
  • Ability and desire to lead projects independently from start to finish, working with internal and external teams to make decisions and maintain momentum
  • Excellent time and project management skills, with the ability to manage detail work and communicate project status effectively to all levels
  • Scala, Python, Javascript
  • Hadoop MapReduce, Apache Spark, and/or Google BigQuery experience
  • Machine learning experience
  • Experience with any common BI tools such as Cognos, Business Objects, Microstrategy, or Tableau desired
  • Previous experience with a major media company (film/TV/digital), particularly on the content distribution/acquisition side
  • Bilingual skills highly desired (English AND), particularly Spanish, Portuguese, or Chinese
  • Bachelor degree in a field of analytic study
72

Data Analytics, For-credit Intern Resume Examples & Samples

  • Intern must be a sophomore, junior, or graduate student during the Summer 2016 semester and eligible to receive college credit
  • Student must be able to provide proof of school credit eligibility (unofficial transcript, course catalog page, note from faculty advisor or career center staff)
  • Preferred candidates have a 3.3 GPA or higher
73

Data Analytics Internship Resume Examples & Samples

  • Data collection, validation and maintenance via SAS, R or Python
  • Generate periodic and ad hoc forecasts and maintain results
  • Apply analytics to address various marketing business questions
  • Develop automated analytical solutions
  • Maintain system documentation
  • Participate in business review process
  • Perform industry research and benchmark analysis
  • Prepare client deliverables
  • Basic understanding of R or Python
  • Background in statistics
  • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Operation Research, Engineering, or a related quantitative field
  • Pursuing (or recently graduate with) a Master's or PhD degree in on of the above quantitative fields
  • Log into your dashboard at www.DisneyInterns.com
  • Click the link labeled “Edit Profile Info”
  • Click on the “Attachments” Tab
  • Be sure your document is in the required title format: FirstName_LastName_Type (i.e. Mickey_Mouse_Transcript)
  • Select document type of “Other”
74

Product Owner Senior Enterprise Data & Analytics Resume Examples & Samples

  • Supports definition of business requirements working with business stakeholders
  • Documents and maintains product delivery roadmaps working with business and technology counterparts
  • Performs estimation of for enhancements or new products
  • Prioritizes development and maintenance backlog and product release plans
  • Communicates with stakeholders regarding project status, release plans, and new ideas
  • Conduct product demonstrations for stakeholders/customers
  • Evangelize data and analytics including new ideas and opportunities, education, marketing of new capabilities
75

Data Analytics Resume Examples & Samples

  • Develop business development initiatives, creating demand, converting sales, engagement delivery and knowledge management, previous proven experience of achieving sales targets greater than £1m
  • Functioning as a subject matter expert in advising clients to gain greater insight into their data and the value that data analytics can bring to an organisation
  • Take a significant role in the growth of the team and wider practice, sharing knowledge and supporting the career and technical development of other team members
  • Work to support clients on the benefits of data analysis, complex calculations and visualisations demonstrating how it can be applied to their issues
  • Actively involved throughout the life-cycle of an assignment
  • Manages clients’ expectations in relation to deliverables and identifying risk on the assignment
  • Manages WIP on assignments
  • Helps the group achieve target fees by assisting in proposal development and other selling initiatives
  • Experience of running Analytics as a Service or cloud based environments
76

Senior Specialist Data Analytics Resume Examples & Samples

  • Support and execute data analytics across all phases of audit projects – planning, execution, completion and reporting – as assigned
  • Enhance audit work structure and transparency by transforming readily available information into actionable insights and improve audit efficiencies and effectiveness
  • Complete quality, thorough and fact based documentation of audit work throughout all deliverables
  • Support required through each audit phase would include
  • Identification of data analytics opportunities
  • Pre-audit information requests of large data sets
  • Liaison with IT contacts to get direct access to data
  • Data cleansing in preparation for analysis; and
  • Define data analytics testing plan for each audit engagement for authorisation by Senior Manager, Data Analytics
  • Execute data analytics audit procedures, including preparation of audit work papers and documentation in accordance with audit standards
  • Identify, analyse and interpret trends from complex data sets to draw insights and conclusions
  • Support audit team members with executing standard data analytics procedures with use of DA software
  • Help ensure that audit work is properly documented and concluded upon, as well as filed and stored appropriately within TeamMate electronic work papers software; and
  • Update audit project lead on all key issues to allow audit team to conclude on findings from data analytics procedures
  • Verify contents and accuracy of data analytics conclusions with management and audit team
  • Debrief execution of data analytics in accordance with test plans, including definitions of lessons learned, best practices, etc
  • Continuously expand and upgrade knowledge and skills by utilising resources such as reading materials, industry webinars and attending training workshops; and
  • Continuously enhance day-to-day processes and suggest solutions, develop and enhance internal audit and data analytics tools (audit programs, testing templates), share best practices
  • Effective English presentation and communication skills, both verbally and in writing and composure in conveying information within the organisation
  • Highly results driven and self-motivated team player with compassion, integrity, trust and perseverance
  • Ability to accept and meet deadlines, involving effective time management capacity
  • A passion for detail, accuracy, reliability and speed coupled with desire for data exploration to reveal deeper insights, business process improvement opportunities and areas of potential risk
  • High degree of customer orientation, and good communication skills to connect with people and management styles across different cultures and communicate technical IT / data topics to non-technical personnel
  • Effective listening skills, including ability to translate content from interviews in to meaningful information
  • Good analytic capabilities to manage large volume of information from multiple sources with high degree of business acumen and professional scepticism. Experience with data analytics extremely beneficial
  • Strong software knowledge with Microsoft Office suite (specifically Excel) and ERP systems (specifically SAP)
  • Knowledge of and experience with reporting packages (Business Objects etc.) or programming (Javascript, SQL etc.) desirable
  • Fluent or good knowledge of one or more foreign languages would be strong value add (including German, French, Mandarin, Cantonese, Spanish, Russian)
77

Data Analytics Technical Specialist Resume Examples & Samples

  • Analyses technical problems in order to identify the technical approach and solution options for the given problem; this includes collaborating with project/work teams to resolve technical road-blocks, performing solution proof of concept (POC), and examining third party product offerings
  • Reviews tactical and strategic plans and assesses the feasibility and technical risk of incorporating a given architecture or solution into the internal technology environment and communicates the findings to senior management and/or project/work teams to assist with decision-making regarding the applicability of the plans to Enterprise/Line of Business (LOB) strategies
  • Reviews project documents (e.g., Functional Requirements Document and Solution Architecture Document) to ensure quality, completeness, and adherence to Capability Maturity Model Integration (CMMI) or Information Technology Infrastructure Library (ITIL) documentation standards, as well as to determine the impact of the implied changes to the design framework and identify synergies between project initiatives to ensure the efficiency and effectiveness of the technology
  • Defines custom architecture requirements around third party solutions to allow IT integration of these solutions into the technology environment to meet business requirements
  • Support day to day development work including
  • Environment planning, preparation and build
  • Code deployment to Development and QA, environment shake down and trouble shooting
  • Support production implementation
  • Act as second line support for the Operations Team
  • Provides technical coaching to team members on design patterns, development processes, and other IT processes in order to improve their technical skills
  • Work closely with vendors to assure appropriate support is provided
  • Define and document configuration topology standards/templates, provisioning, monitoring, automation, and testing requirements of the Data Analytics platform and infrastructure
  • Work with QA and Performance teams to ensure complete test coverage and determine optimal configuration for better performances and availability
  • Work with ISV, Architects, and Developers to establish and maintain a governance process for lifecycle management, request and delivery of the Hub platform services
  • Possesses a university degree/college diploma in related discipline(s) and 7 - 10 years’ experience in the IT industry
  • Illustrates advanced knowledge of the Bank’s technology standards, guidelines, and processes. Exhibits advanced knowledge of current IT industry standards and trends applicable to the given EI platform
  • 3-5 Years Linux experience (administration level)
  • Exposure to data analytics tools and integration tools (such as InfoAnalyzer, SSIS, Hadoop)
  • Shell Scripting
  • Knowledge of Netezza appliances would be an asset
  • Possesses advanced verbal and written communication skills
  • Possesses advanced interpersonal skills
  • Possesses advanced problem solving and analytical skills
  • Demonstrates advanced customer service skills
  • Maintains advanced teamwork skills
  • Displays advanced presentation skills
  • Illustrates advanced leadership skills
  • Is able to manage in crisis situations
  • Is self-motivated, goal-oriented, and customer-service oriented
78

Data Analytics Resume Examples & Samples

  • Use analytical software to access, transform, integrate, analyse and visualise client data to help solve real problems and identify real opportunities
  • Help enhance the ability of our clients to use and interpret data
  • Demonstrate in-depth technical capabilities and professional knowledge
  • Establish relationships with client personnel at appropriate levels and consistently deliver quality client services
  • Experience with Tableau, Spotfire and/or Qlik is a must
  • Able to write SQL
  • Able to write Excel VBA
  • Likely to have started with strong advisory skills in project administration and process mapping
  • A passion for working with data and learning new methodologies, application and skills for analysis
  • A bachelor’s degree is a must and master’s degree is ideal
79

Data Analytics Resume Examples & Samples

  • Decision making - strong client management and communication skills, rigorous analytical techniques and excellent data handling skills
  • Technical Expertise - Constructing purpose built databases storing large client datasets for our analytical models, using data wrangling tools, visualisation tools, SQL stored procedures, programming and statistical tools, to derive insight through forecasting calculations and simulations, in a fast moving transaction environment
  • Project Management - Actively involved throughout the life-cycle of an assignment – requirements definition, specification, data collection, solution design, development, documentation, implementation and user training
  • Database management - Designing and building complex database models to perform analysis on large diverse datasets
  • Client service - Manages clients’ expectations in relation to deliverables
  • Risk averse - Identifies risk on the assignment, involving Director / Partner appropriately in its resolution
  • Strong experience in SQL Server and MS Excel, plus at least one other SQL dialect (e.g. MS Access, Oracle PLSQL, MySQL)
  • Ability to work with clients and model users to identify their particular use case requirements, to design appropriate solutions to load data, perform complex calculations, derive corollaries and deliver interfaces tools to provide repeatable visual output
  • Highly numerate with a strong technical knowledge and experience of applying analytical and modelling techniques to provide insights to business issues
80

QSE Data Analytics &perform Metrics Mgr Resume Examples & Samples

  • Engage QSE resources to contribute to the execution of the Function’s data strategy-, analysis, and risk identification
  • Conduct analysis and generate QSE performance reporting to include publishing monthly and quarterly Quality, Safety, & Environment reports to Company senior leadership and to the Board of Directors as well as Quality, Safety, & Environment Global Dashboards
  • Make customers (external and internal) and their needs a primary focus of one's actions; developing and sustaining productive customer relationships; creating and executing plans and solutions in collaboration with the customer
  • Develop and implement decisions and support tools in order to effectively manage QSE performance data and associated analytics
  • Contribute to the conceptual design, communication, and implementation of data management system enhancements, report requests, and business information/performance modelling in order to ensure output optimization
  • Anticipates changing and future business needs and analyzes metrics across the system to make recommendations and initiate action
  • Prepares global and Business Unit level QSE performance reports prior to publication to ensuring accuracy and completeness that sufficiently highlights system risks
  • Develop, maintain, and use data models, templates, strategic and operational measures and software programs/systems in order to perform QSE performance analysis
  • Lead projects for various internal clients, conduct scenario analysis, and develop models to support strategic decision making
  • Perform analysis that requires application of analytic concepts and/or tools (e.g., statistical analyses, data correlation, and predictive modeling)
  • Contribute to the development, deployment, and ongoing administration of QSE data management systems and application of SQL database for certain analytics and reporting
  • Demonstrated Analytics Analysis: Perform performance analysis to assist in exploring strategic options, developing creative solutions to complex business issues, and/or to supporting final decision-making. This includes the ability to design and perform unique analyses and analyses that require the application of analytic concepts and/or tools (e.g., statistical analyses, data correlation, predictive modeling, risk assessment, implications to strategic position) and the ability to understand and explain data relationships
  • Bottler Operations and Economics: Knowledge of the system, business, organization, functions, operational and/or business/Technical processes necessary to effectively perform performance analyses
  • Computer Modelling: Knowledge of statistical and mathematical computer programs and modelling techniques. Ability to apply and analyze large amounts of data for developing projections and estimates
  • Process Improvement: Ability to collaborate cross-functionally and coordinate efforts around process improvement; Ability to analyze business processes and develop systems-based solutions that will improve current state
  • Process Management: Knowledge of process definitions, flow-charting and process management techniques
  • Product/Industry Knowledge: Knowledge of Company products, organizational structure, and supply chain; Ability to analyze data and synthesize findings for application in decision-making process and further analytical work
  • Supply Chain: Knowledge of elements that make up the supply chain and the interrelationship between these elements; Ability to manage and execute strategies across the Quality, Safety, & Environment community to support identification of system risks
  • Training Development: Ability to provide instruction to QSE and field-based resources
  • Solid understanding of applications used in TCCC environment. Proficient use of SQL and strategic understanding of using SQL for database management and data control. Ability to use and leverage Tableau in a reporting environment
  • 5+ years of Technical or financial analysis and computer modeling experience
  • 5+ years of Technical/Quality, Safety, & Environment, Supply Chain, or Operations
  • MS Office Suite and SQL proficiencies
81

Data Analytics Resume Examples & Samples

  • Identifies risk on the assignment, involving Director / Partner appropriately in its resolution
  • Qualification or experience within Computer Science, Operational Research, Statistics, Mathematics, Engineering or highly numerate science
  • Visually creative, with a good understanding of UX aesthetics
  • Strong experience in SQL Server and MS Excel is required, plus at least one other SQL dialect (e.g. MS Access, Postgresql, Oracle PLSQL, MySQL)
82

Data Analytics Resume Examples & Samples

  • Identifies and communicates key responsibilities and practices to ensure the immediate team of direct reports promotes a successful attitude, confidence in leadership, and teamwork to achieve business results
  • Empirically identifying/validating business improvement opportunities, establishing business telemetry to monitor and measure operational performance
  • Prioritizes ad-hoc requests
  • Lead the design and execution of predictive and analytic studies spanning
  • Response modeling, customer segmentation. offer optimization, customer insights
  • Affinity studies, market basket/store segmentation, purchase path
  • Promotional and price modeling, assortment and markdown optimization, shelf and markdown availability
  • Barista/cashier productivity, fraud detection, competitive incursion
  • Partners with analysts from other business units to provide meaningful data sets to run studies
  • Creates standardized methodologies and test design that can be leveraged by teams outside of BI
  • Experience in multi-channel analyses, including web analytics (8-10 years)
  • Experience in retail, ecommerce, interactive marketing, market research disciplines (8-10 years)
  • Ability to translate business needs and goals into analytic approach and response
  • Must be able to collaborate, interface and influence at an executive level
  • Strong analytical skills with solid foundation in statistical techniques (ANOVA, multiple regression, logistic regression, discriminate, conjoint, cluster, factor analyses, CHAID, etc)
  • Deep understanding of advanced structured and unstructured learning methodologies
  • Seasoned expert applying statistical and mathematical modeling to solving business problems
  • Skilled at empirically proving/ revoking hypotheses and ideas
  • Flawless accuracy and attention to detail
  • Proficient business writing skills
  • Strong strategic problem-solving and decision-making skills
  • Possess excellent organizational and presentation skills
83

Data Analytics Director Resume Examples & Samples

  • Minimum 4 years of analytics proficiency, and 7+ years of media (traditional and interactive) experience
  • Extensive knowledge of internet, email and database software
  • Microsoft Office proficiency required; Oracle experience a plus
84

Data & Analytics Technologies Resume Examples & Samples

  • Prioritizing, preparing and implementing BI and/or DW architectural improvements (i.e. developing and recommending alternative DW technical and data management solutions, methodologies, strategies and architectural improvement plans)
  • BI and enterprise DW data management, modeling, integration and/or synchronization, quality, security, conversion and analysis, star schema and relational reporting models, enterprise data management policies, procedures, compliance and risk management and/or database administration,
  • Design and development of data models, extraction code and cleansing routines utilizing typical data quality functions, i.e. standardization, transformation, rationalization, linking and matching that leverages data standards, processes and technology management for data, master data, and metadata; and, data security (including data masking and related data protection techniques)
  • Identification and addressing of client needs--developing and sustaining deep client relationships using networking, negotiation and persuasion skills to identify and sell potential new service opportunities; preparing and presenting complex written and verbal materials; and defining resource requirements, project workflow, budgets, billing and collection
  • Team leadership--generating a vision, establishing direction and motivating members, creating an atmosphere of trust, leveraging diverse views, coaching staff, and encouraging improvement and innovation
85

Employee Data Analytics & Insights Associate Resume Examples & Samples

  • Lead Employee Data Management Operations
  • Continuous improvement
  • Business process management
  • Data Analytics & Reporting
  • Partner with HR Disciplines, LOB, HR Technology, develop solutions to supplement HR Systems in supporting business needs
  • SQL expert
  • SAS preferred
  • Corp technology systems knowledge
  • A COACH
86

Employee Data Analytics & Insights Manager Resume Examples & Samples

  • Ability to generate momentum, secure commitment and engagement, and procure sponsorship from key executive level stakeholders to establishing a data management center of excellence; and moving the measured maturity of the organization across Leadership Dashboards, Predictive Analytics, Workforce Planning, and Workforce Survey Studies
  • Develops roadmap of needed changes, and socializes with key stakeholders, measuring the success of implementation, and highlighting key innovations and business value milestones
  • Grows enterprise and business expertise in HR data management delivery, leveraging expert level knowledge of industry solutions including business intelligence, statistical analysis packages, and visual design principles for information sharing
  • Defines future innovative strategies for information delivery related to mobile, social media and networking. Ability to socialize strategies using exceptional presentation and communication skills
  • Partners with HR leadership to define and influence strategies for consistent workforce related processes, metrics, analysis, and reporting to accomplish business objectives
  • Presents issues and corresponding resolutions for obstacles impacting workforce strategy formulation and information delivery for respective clients or functions
  • Proactively identifies, develops, and implements innovative continuous improvements to processes and measures to support and enhance analytics, reporting, and data management delivery solutions
  • Leads and grows a high performing team comfortable operating in a highly complex, dynamic, and frequently ambiguous environment. Anticipates future knowledge, skills, and abilities and performs needs analysis to identify gaps in skills
  • Establishes governance, performance measures and targets for department services; monitors performance and ensures targets are achieved or exceeded; monitors applicability of performance standards and recommends modifications when warranted
  • 5-7 years of directly related functional knowledge, including experiences such as workforce analytics solutions
  • At least 5 years of people management
  • Experience managing a remote team
  • SQL/ SAS knowledge is preferred
  • Strong business acumen and ability to formulate and influence workforce related business strategies and operation plans
  • Strong problem solving, analytical, influence, and facilitation skills
  • Anticipates needs of customers and drives solutions to support business objectives
  • Demonstrated ability to collaborate with business leaders to develop, implement and monitor HR reporting and analytics that enable the achievement of business goals
  • Develops solutions to complex, ambiguous problems, often outside of one’s area of expertise and typically as part of a team
  • Interprets functional strategy to establish business priorities that support and help to set longer-term direction and strategy for the sub-function
  • Ability to effectively manage competing priorities in a fast paced environment
87

Data Analytics Resume Examples & Samples

  • Provides analysis on customer reporting and proving value proposition for new and existing clients
  • Prepares reports to include a comparative analysis of payors pre-/post- CareCentrix spend; benchmarking against other data sources where available; demonstrating effect of CareCentrix managed care factors including network discounts, utilization management and place of service impact
  • Evaluates and tracks the performance of HomeSTAR program including readmission rates, etc
  • Provides financial support to mergers & acquisition opportunities including accretion/dilution analysis, discounted cash flow, etc
  • Produces and maintains an executive dashboard of key operating metrics tracking performance across different customers, business segments and markets. Provides aggregate Performance Guarantee tracking in order to ensure contract compliance
  • Works with Finance to track customer financial performance and identify opportunities for gross margin improvement with cross-functional teams including medical management and provider networks
  • Conducts staff meetings to ensure proposals to prospective customers and reporting for existing customers is accurate and delivered timely
  • Participates in and contributes to performance improvement activities
  • Gathers information used to understand costs, trends and appropriate utilization. Consults with internal experts to determine appropriate data and analysis to be performed
  • Provides presentations to senior management as required
  • Establishes and maintains format, structure and preparation process of reports to be provided to superiors and upper management
  • Extensive experience in multi-functional analyses (Finance, Operations, Growth, Clinical, Pricing and Underwriting). Ability to work in with cross-functional partners who have varied expertise in technical and business subject areas
  • Must have strong statistical and analytical background. Ability to clearly present analysis
  • Detail-oriented and strong team player
  • Strong computer skills plus excellent analytical, presentation, organization, decision making and communication skills necessary
  • Demonstrated ability to communicate effectively to all levels of client and engagement management
  • Capable of balancing multiple projects with strong ability to properly delegate and meet deadlines
  • Demonstrated ability to provide services involving accounting and business consulting projects
  • Professional demeanor and strong communication skills, both written and oral
  • Commitment to personal and professional growth, including the development of peers and junior staff
  • Sense of responsibility to self, team and client
  • Outstanding integrity, initiative, creativity, and passion
  • Management Information Systems
88

Director Enterprise Data & Analytics Solutions Resume Examples & Samples

  • Decisions have significant impact on project team, business or operating unit, budget, department and/or client
  • Full managerial responsibility for direct and indirect reports
  • Develops budget and manages activities of two or more work streams through subordinate Product Owners
  • Responsible for mid-range planning for multiple functions and/or projects with a focus on tactical operations over 1 to 3 years
  • Prior experience with critical data systems for analytic, operational and discovery (big data) use
  • Examples include real-time data collection systems, warehousing, data cleansing and quality, business intelligence, predictive analytics and operational feeds
  • Full life cycle data architecture leadership experience, including conceptual, logical and physical data modeling, reverse engineering and gap assessment and master and meta data management
  • Excellent written and verbal communication skills at the executive level; ability to lead and direct multiple projects simultaneously; ability to delegate work to subordinate or less experienced team members; proven leadership ability
  • Experience in development, delivery or management of software solutions in the airline industry – 5+ years
  • Leadership & executive level communication skills – 7+ years
  • People management skills – 7+ years
  • Big data, analytical and operational data strategy and execution – 5+ years
  • Developing business cases for data related initiatives – 5+ years
  • Experience with large scale data technologies – 5+ years
89

Data & Analytics Technologies Resume Examples & Samples

  • Advising CXO's on trends and emerging enterprise data management, data security and/or data masking, data warehousing and business intelligence technologies and strategies
  • Enterprise data management, data warehousing and/or business intelligence; data modeling, integration and/or synchronization, quality, security, conversion and analysis; database administration; and/or enterprise data management policies, procedures, compliance & risk management
  • Design, testing, oversight, development and evaluation of High Availability Transaction Processing systems, including recommending action plans
  • Design and implementation of reporting data sources and complex reports, including some ability to utilize SQL and PLSQL
  • Design and development of data cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching that leverages knowledge within data, master data, metadata and technology management. Demonstrates some skills related to, and/or success participating in, Information Technology-related projects that utilize creative thinking skills and individual initiative, including the following
  • Working as a team member: understanding personal and team roles; contributing to a positive working environment by building solid relationships with team members; proactively seeking guidance, clarification and feedback
90

Data Analytics Resume Examples & Samples

  • Masters degree in Computer Science (or equivalent related field)
  • Experience of managing small teams (both onshore and offshore)
  • Experience of using programming Languages: C, C++ , C# and Java
  • Experience of using SAS Base, SAS Enterprise Guide, SAS Data Integration Studio, Microsoft SSIS
91

Data Analytics Resume Examples & Samples

  • Partner with Professional Practices to analyze needs and recommend solutions to help design and solution metrics and reporting to support the departments strategies and operating model
  • Design data analytics queries/tools to support various types of activities including: MIS, KPI’s, KRI”s, Risk Assessments, and ad-hoc reporting
  • Develop requirements, design, code, test, and analyze results using available tools/infrastructure to provide support using available tools/infrastructure
  • Proactively identify key data sources and obtain access/feeds/files necessary to perform data analytics for Professional Practices
  • Manage relationship and communication with key stakeholders (auditors, Global Technology, and other Data Analytics team members
  • 7 years of related experience (financial services, internal audit, data analytics, technology, compliance or risks/controls)
  • Detailed knowledge of Audit or Risk & Control departments, and audit experience a plus
  • Experience with some of the following in order to query, transform, and/or present data: Excel/Access/VBA, SQL, QlikView, Monarch, Business Objects, TOAD, Tableau, etc
92

AVP Unsecured Credit Risk Data Analytics Resume Examples & Samples

  • This position may act as a team leader or as an individual contributor/technical subject matter expert
  • Some business units may require programming skills for the following statistical programs: SAS, SPSS, and SAP
  • Five years proven statistical analysis and/or MIS experience, or equivalent. Knowledge and understanding of financial services preferred
  • Bachelor's degree in mathematics, statistics, finance, economics, related field or equivalent experience; Masters Degree preferred
  • Well-developed organizational, analytical, problem-solving, project management, verbal and written communication skills
  • Proficiency with personal computers as well as pertinent mainframe systems and/or software packages. Strong programming skills to include knowledge of statistical programs and/or advanced database programs
  • Knowledge of segmentation, targeting, optimization and life cycle management required
93

Collections Data & Analytics Resume Examples & Samples

  • Manages the team responsible for collections analytics and automation of reports
  • Utilize SQL skills for data retrieval using TOAD, SAS, or similar tool
  • Manipulate and analyze data and ultimately present findings to management
  • Understand how databases are structured and how business intelligence layers interact with the database
  • Create reports usable by the line by utilizing knowledge of risk and collections
  • Provide insight to the business through deductive reasoning, business logic and mathematical techniques (decision trees, regression, etc.)
  • Provide ad hoc reporting as needed
  • Interact with the line and help them understand the nature and scope of the metrics they are using
  • Maintain and diagnose technical issues as they occur
  • Bachelor’s degree in Business, Mathematics, Computer Science, or a related field
  • Working knowledge of ANSI-SQL, SAS, Microsoft Access, relational database knowledge, and reporting concepts
  • Working knowledge of CART, decision trees, scoring, and regression, a plus
  • Excellent communication (oral and written) and presentation skills
  • Experience with Oracle specific SQL, SQL Plus, VBA, TOAD
  • Working knowledge of Collections and Risk Management
  • Prior experience with decisioning systems such as Triad or Strata
  • Experience with business Intelligence tools (Siebel, OBIEE, Cognos, MicroStrategy)
94

Specialist Data Engineer Data & Analytics Resume Examples & Samples

  • Define and enhance existing Visualizations/ Dashboards
  • Develop Data loading and Scheduling process to refresh Dashboards
  • Minimum 2 yrs. experience in developing solutions using databases like Greenplum, or Postgress or, Teradata or Oracle
  • Green Belt certified
95

Data & Analytics Team Leader Resume Examples & Samples

  • Management of 20+ GE architect and development resources and contract labor in Budapest working on Transportation Data & Analytics projects
  • Develop, train, and maintain the team of GE resources in Budapest
  • Maintain knowledge of modern development tools and practices and provide strategic guidance to connect data engineering, operations, analytics, and desired functional outcomes
  • Partner with the other CIO staff members responsible for Data Engineering, Visualization, Operations, and Programs to allocate resources and execute on critical outcomes
  • Leverage colocation in the Budapest center to drive collaboration with other GE business units (e.g. Healthcare, Digital) working on big data and Predix based technologies
  • Develop and maintain effective relationships with Executive leaders across the strategic programs landscape
  • Develop growth and capacity plans in support of project pipeline
  • Participate and/or lead GE planning efforts (Blueprints, Growth Playbooks, etc.)
  • Bachelor's Degree in Business Management, Finance, Information Management or other technical / IT field, OR equivalent relevant work experience
  • Experience managing employees, contract labor, and leading large scale, global project teams with a demonstrated ability to develop effective stakeholder relationships
  • Experience in delivering enterprise architecture or data management solutions (data quality, data conversion, and / or data archival)
  • Experience in business planning, resource allocation, and project management in an information systems environment
  • Demonstrated initiative to stay abreast of technology advancements and willingness to learn and develop new technical skills-sets (e.g. Predix, Data Lake, SAS, and other data modeling or analytics tools and architectures)
  • Background in enterprise systems architecture
  • Background working with big data technologies such as Hadoop, Greenplum, Spark, etc
  • Strong business acumen and IT leadership experience
  • Clear & confident communicator with strong interpersonal and leadership skills
  • Excellent organization and planning skills
  • Resourceful and quick learner; able to efficiently seek out, learn, & apply new areas of expertise as needed
  • Strong team player, comfortable partnering with stakeholders and influencing in a matrixed environment
  • Highly self-motivated and able to motivate their team, able to work and lead independently
  • Superior analytical, organization, coaching and interpersonal skills combined with effective leadership, decision-making and communication
  • Demonstrated ability to independently develop and execute IT projects and assist Functional clients in planning initiatives. Also coordinate between Infrastructure team members for project related tasks
  • Agile / LEAN / PMI Certification
  • CAS and/or ITLP graduate
96

Specialist Data Engineer Data & Analytics Resume Examples & Samples

  • Interface with project stakeholders to collect and understand requirements
  • Interface with Infrastructure and Services teams to understand system requirements
  • Create end-to-end design for each requirement
  • Connect to data sources to power the database and reporting
  • Develop and modify ETL jobs or extracts to pull the data required for the reporting
  • Generate professional documentation for requirements, design, development, and testing
  • Ability to conduct extensive unit testing, regression testing and debugging issues identified
  • Strong debugging skills to investigate data issues, document root causes and resolutions
  • Interface with users and technical teams to provide support during user acceptance testing
  • Create technically training documents to successfully hand completed work to the support team with the documents required for support
  • Expertise in working with flat files, SFDC and SAP ECC source systems
  • Provide regular status updates to project manager and team on progress, issues and roadblocks
  • Ability to work effectively with a globally distributed team
  • Create tickets and follow up closely with internal technical teams to complete interface related tasks and issues
  • Bachelor’s degree with 3+ years IT experience in business intelligence
  • Expertise in SAP Business Objects Data Services development tools
  • Expertise in SQL development (Oracle/Redshift/MySQL)
  • Expertise in WEBI reports & Universe development in SAP Business Objects 4.1
  • Working knowledge of Unix and Shell scripting
  • Ability to interface with business users and other internal business teams
  • Experience with installing rapid marts or data marts
  • Experience in working with finance module data
  • Exposure with Data Lake platform including HDFS, JSON, GreenPlum, Hive, Spark-SQL
  • Experience with DOMO visualization tool
97

Data Analytics & Dashboarding Senior Analyst Resume Examples & Samples

  • Prior 2-4+ years working experience with the ability to manage and analyze large dataset and clearly explain complicated analysis to senior level executives
  • Have advanced knowledge of the database management and dashboard development experience working with and extracting data from VA's data systems
  • Experience developing dashboards, large databases, and data collection systems. Strong project management skills are essential. Familiarity with VA OI&T organization and systems is desirable
98

Data Analytics Solutions Leader Resume Examples & Samples

  • Hire, Mentor, Coach and Manage a team of highly talented Data Scientists, Data Engineers and Implementation Architects to deliver actionable and business impacting Data Analytics solutions and services
  • Plan, delegate, review the team activities. Provide right level of technical and project management guidance and inputs to the team
  • Work closely with all stakeholders and set right expectations & meet all the expectations
  • As a key leader in the organization, support local and global leadership team in strategizing, planning and executing programs and processes to create a world class data analytics delivery & innovation organization
  • Ensure that Data Analytics team deliver’s business outcomes in agile model of delivery
  • Provide technological and management guidance, inputs to the team to work on ambiguous big data and analytics problems
  • As a local site leader for the Data Analytics Solutions team, provide necessary tactical and strategic direction and motivation to local and global technology and business teams
  • Closely collaborate with global teams and SBUs to ideate, prototype & productionize innovative Analytics services and solutions
  • Managed high performance team of 15-20 members and successfully deployed big data analytics solutions & services in production
  • 12-15+ years of experience of overall experience, with 4-5 years of management experience in leading data analytics teams. With successful track record of building and deploying revenue earning Data Analytics solutions/services used by customers/business in the production
  • Masters or Bachelors in Computer Science, Statistics, or other relevant degree
  • Experience in hiring excellent & building a strong data analytics team
  • Experience in ideation, planning, intelligent delegation & tracking of programs to right resources
  • Strong analytical and quantitative skills and experience in data mining, machine learning, or graph mining and visualization techniques
  • Experience working with large unfiltered data sets using distributed computing tools such as MapReduce, Pig
  • Experience in programming or scripting language (e.g. Python, R, Java)
  • Able to identify critical problems, feature engineer & synthesize data, develop models and visualize the outcomes to business and technology teams
  • Proficiency with UNIX/LINUX environments
  • Knowledge and experience of statistical analysis using R/Python libraries
  • Knowledge and experience in multi-structured data modeling and NoSQL technologies such as HBase and Cassandra
  • 8+ years of relevant Data analytics and large-scale data processing experience
  • Masters/PhD in CS, Statistics or relevant degree
  • Experience with Big Data processing frameworks and tools and open source technologies & tools
  • Masters in Business Management/Administration will be an added advantage
99

IT Lead, Data & Analytics Resume Examples & Samples

  • Understands and applies BI Data Warehousing and Mobile Analytics technology with experience in AWS (Redshift, S3, EMR) and Cognos, Tableau and Qlik toolset or similar
  • Provide technology leadership in the area of mobile analytics and analytics visualization to design solutions and deliver effective user-centric and intuitive analytics tools and dashboards. Drive self-service analytics models and solutions
  • Partner with business product owners to define the IT needs and agile stories and work with agile team deliver the solutions utilizing an Agile delivery model
  • Maps out business processes to serve as a reference for development and IT support
  • Explains to business how requirements may be implemented from a functional standpoint
  • Understands development estimates and how levels of effort impact the priority of requirements
  • Track progress of the product development and report to the business on status on the delivery of features, functionality and applications
  • Apply enterprise architecture to accelerate our ability to meet current business needs, to scale and to adapt to dynamic business needs
  • Maps out complex business processes to serve as reference for development of analytics solutions and advocates for business process simplication where appropriate to deliver robust and cost effective solutions
  • Coordinate progress of visualization work in single and multiple Agile Scrum workstreams. Co-ordinates workstreams, activities and initiatives across Product Lines as needed
  • Ensure successful business product owner engagement and completion of user acceptance testing
  • Partner with Application Services to manage Application Service Level Management
  • Takes business requirements and writes specifications in a consumable format and terminology for development team
  • A Bachelors’ Degree or equivalent is required
  • A minimum of 5 years of business experience is required
  • Business analytics and visualization IT experience is required
  • Proven experience building and maintaining business warehouse and analytics capability is required
  • Proven experience deploying business analytics tools, business intelligence and visualization solutions in direct support of business functions is required
  • Demonstrated success applying Tableau, Cognos, Qlik or equivalent analytics tool to deliver insights with positive business impact is required
  • Experience with Mobile Analytics is required
  • Agile experience is preferred
  • Demonstrated ability to work with business partners to translate business needs and deliver analytics solutions is required
  • Demonstrated experience analyzing and translating business requirements is required
  • Qlik experience is preferred
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner is required
  • A strong aptitude for empirical research to answer challenging questions with data is required
  • Experience in the Medical Devices/Pharmaceutical/Healthcare industries is preferred
  • Strong business acumen is required
  • Commercial experience is preferred
  • Experience working with Application Services and key vendors is preferred
  • The position will be based in Somerville, NJ and may require up to 25% domestic travel.Info Technology
100

Manager Portfolio Management Data & Analytics Resume Examples & Samples

  • Strong database and credit risk systems experience including SAS, MS Access SQL, Excel VBA, FactSet, Compustat, Bloomberg,
  • Strong familiarity with credit risk data capture
  • Graduate degree in business or quantitative field – finance, math/statistics
  • At least 5 years of relevant experience preferably with a major financial institution
  • CFA and/or FRM desired
  • Working knowledge of capital markets, loan and equity products
  • Working knowledge of risk management, financial risk analysis and portfolio management strategies
  • Expert database querying and management skills
  • Expert analytical capabilities, with working knowledge of credit risk models and economic capital
  • Ability to plan and organise own workload and those of others utilising proven management skills as evidenced by track record of delivering results on time and to a high degree of accuracy
  • Highly developed personal effectiveness skills, which include motivation, the ability to influence and negotiate, adapt to varying conditions and apply creativity and seize personal development opportunity
101

Director of Data Analytics Resume Examples & Samples

  • Participate as member of Vice Provost’s core management team representing and responsible for creating an integrated, data-driven environment for the Office of Undergraduate Admissions and the Office of Student Financial Services. Develop and execute strategies to provide timely data and analyses concerning the strategic initiatives of these two offices. Integrate the admissions and financial aid reporting environments. Apply quantitative expertise to admissions and financial aid issues. Inform strategic planning from a data analysis perspective. Foster collaboration across departments/organization to ensure flow of data required for analysis and to identify new opportunities
  • Oversee the architecture and management of the data warehouse, including optimizing its design, ensuring data integrity, archiving data, and incorporating new data elements. Diagnose system and data issues in the admissions data warehouse. Coordinate testing of corrections, and introduce resolutions to issues
  • Design and develop reporting infrastructure including working with central IT to create a robust data warehouse environment. Create sophisticated data analysis tools to be used by Deans and managers in admissions and financial aid as well as automated data delivery tools for the office and other university constituents such as the Provost and President and the Deans of the Krieger and Whiting Schools. Develop data ownership policies, procedures and best practices. Coordinate and produce reports and surveys concerning admissions and financial aid for external organizations such as COFHE
  • Responsible for high level data analysis and provide strategic input based on analytic findings. Establish and maintain the infrastructure related to accurate data analysis such as data tools and data integrity procedures. Responsible for overseeing the proper use of data and technology and creating data-driven, analytical business processes and procedures
  • Design data schema to facilitate analyses, e.g. in support of prospect data. Manage Admissions reporting efforts to internal and external entities to assure data quality and integrity
  • Develop and execute a strategy for ingesting data from a variety of third party sources, then transforming and leveraging it for analytical use
  • Lead the development and management of regression analysis, forecasting models, and report generation
  • Identify, analyze, and interpret trends or patterns in complex data sets. Present senior leadership with key findings in a non-technical manner to inform admissions and financial aid strategy and drive marketing efforts
  • Organize material and complete assignments according to established standards regarding clarity, conciseness, style and terminology
  • Comprehensive knowledge of statistics including inferential statistics, multivariate regression, predictive analytics, and graphical display
  • Knowledge of current marketing trends in higher education, specifically in relation to an undergraduate admissions environment, and of the information technology tools used in electronic marketing efforts
  • Knowledge of all facets of applicant data collection, electronic marketing, processing, evaluation, and reporting activities of a university admissions office and its interrelationships with the university at-large, administratively and academically
  • Knowledge of SQL, HTML, JavaScript, PHP, VB, Flash, and ASP
  • Advanced knowledge and demonstrated understanding of developing and tuning complex queries, stored procedures, and user-defined functions using T-SQL
  • Knowledge of Microsoft Office Suite, JIRA, Confluence, VSS (or equivalent code change control applications), SCT SunGard Matrix, Photoshop, Dreamweaver, bulk email applications, Google
  • Analytics; familiarity with Customer Relations Management (CRM) software suites and document imaging/document management applications. Knowledge of database structures and their capabilities and limitations
  • Experience using Visual Studio 2012 or higher
  • Comprehensive knowledge of key analytics and reporting software, including Excel, R, SSRS, and Tableau
  • Advanced knowledge and demonstrated understanding of ETL or other data processing techniques, preferably using SSIS
  • Must possess skills to convey complex ideas to non-technical audiences. Excellent interpersonal and communication skills to convey information to faculty, staff and University officials
  • Self-motivated, able to work effectively both independently and cooperatively, and has had proven success working as a member of a team
  • Advanced knowledge of techniques to automate report generation and delivery
  • Knowledge of current trends and technologies used in data science
  • This position is required to multi-task and prioritize multiple projects, deadlines and responsibilities requiring a strong work ethic that stresses delivery of sound, accurate data
102

Senior Manager, Head of Data Analytics Resume Examples & Samples

  • Managing the Data Analytics team and the work that flows through the department (from briefs received from UK and EMEA colleagues)
  • Leading the development, planning and implementation of Data strategies across EMEA on a cross company basis
  • Ensuring the EMEA approach to data strategy is communicated to the territories in a collaborative approach to ensure EMEA and territory requirements are met
  • Leading all data analysis projects and insights to inform new and ongoing campaigns (i.e. RFV, LTV, Value of CRM, Propensity modelling, look alike modelling)
  • Managing and evolve the EMEA database
  • Coordinating data activity on an ongoing basis with key stakeholders and internal partners e.g. local markets
  • Driving an integrated approach across data analysis and performance through leading planning between social, digital and CRM teams (incorporating, where appropriate, social, search, digital and web data analysis)
  • Delivering centralised reporting structure across TWDC EMEA that allow self service capabilities to get access to appropriate levels of data
  • Planning new initiatives based on data analysis and insight – allow the data to lead creative and steer programmes to constantly be optimised to exceed targets and KPIs
  • Managing relationships with and quality of service/value delivered by EMEA CRM and data agencies
  • Representing the data story to internal stakeholders to visualize how campaigns are performing and the learnings we are applying off the back of it
  • Promoting and follow CRM best practice across TWDC EMEA – championing data and being the voice of data analytics within TWDC
  • Developing a deep understanding of our consumers through close partnership with Research and Insights Team and through coordinating and consulting with other data points across EMEA (e.g. acquisition, social, search, retail, etc.)
  • Significant experience in managing Data and Analytics programmes for brands (agency and/or client-side), managing teams that deliver best in class data segmentation, analysis and insight that drives CRM programmes to deliver (and exceed) targets
  • Expert in the data planning and insights that help develop and optimise CRM communications
  • Well versed in data and technology
  • Experience of data acquisition and managing CRM tools/programmes in a commercial environment
  • Experience of working with multiple external agencies
  • Demonstrable multi-element project management experience
  • Expert in Direct & Database marketing in a B2C environment: able to plan, deliver and optimise direct marketing with consumers
  • Confidence with, and practical application of, analytical techniques
  • Base SAS coding experience is essential
  • SAS Enterprise Guide, Excel Macro, Excel VBA skills & SAS Campaign management are essential
  • Ability to prioritise & manage multiple projects; strong project management skills
  • Email Marketing / Direct Marketing exposure
  • Experience of integrated CRM and Social Media strategy a benefit
  • Experience of working in multi-category entertainment markets a benefit
103

Assistant VP, Data Analytics Resume Examples & Samples

  • Builds deep expertise in Lincoln’s consumer data and external consumer data, especially pertaining to elements and characteristics relevant to consumer behavior, decision-making and product preferences. Identifies patterns and trends within this data and uses to influence business decisions
  • Directs and executes advanced analytical approaches and modeling to identify trends, make predictions about future outcomes, anticipate consumer unmet needs and support ongoing business strategic decision-making
  • Provides effective project management leadership for advanced analytics and predictive modeling integration and implementation across the enterprise and its lines of business
  • Directs and develops project teams and serves as senior level management contact for all development issues, resolving technical issues timely and collaborating with key stakeholders to enhance business outcomes
  • 10+ years of Increasing experience of data mining, modeling and strategy design that directly align to the responsibilities of this position
  • Experience in applying advanced analytics to inform consumer product or marketing strategy and/or to develop and improve consumer digital services
  • Knowledge of Hadoop and other archive language applications
  • Expert knowledge of R and/or SAS
  • A demonstrated track record of consistently meeting and/or exceeding performance expectations
  • Possesses a bias for action and avoids workplace distraction
  • Drives performance targets to completion
104

Data Analytics Internship, Spring Resume Examples & Samples

  • Excellent oral/written communication skills to technical and non-technical audiences
  • Familiarity with SAS or SQL to perform data manipulation or modeling
  • Senior working towards (or recently graduated with) a Bachelor’s degree in Statistics, Mathematics, Economics, Operation Research, or a related quantitative field
105

Data Analytics Internship, Spring Resume Examples & Samples

  • Problem solving, development, and analytical skills
  • Experience with Python, R, or Matlab
  • Basic understanding of SQL
  • Computer Science, Engineering, or Mathematics background
  • Experience implementing analytical processes with Python, R, or Matlab
  • Experience performing data manipulations with SQL
  • Previous work experience in software or analytics team
  • Senior working towards (or recently graduated with) a Bachelor’s degree in Computer Science, Engineering, Mathematics or a related quantitative field
106

Partners Data & Analytics Internship Resume Examples & Samples

  • Desire to work on data analysis projects that will help transform PFCU into a data driven organization
  • Ability to pull data from databases using SQL, and apply data cleansing, data manipulation and data transformation techniques
  • Ability to create innovative solutions for business issues using different analytics and machine learning approaches
  • Excellent oral/written communication and interpersonal skills
  • Creative & strategic problem solving skills
  • Interest in pursuing an analytical career path
  • Working knowledge of SQL Server, SAS, R, Alteryx, Tableau or other statistical packages/languages
  • Basic understanding of cloud (AWS) and Apache technologies
  • Knowledge of machine learning techniques(e.g., logistic and linear regression, neural networks, random forests)
  • Knowledge of and ability to create data visualizations using .js visualization libraries
  • Rising senior or higher (or recently graduated with) a degree in Computer Science, Analytics, Mathematics, Industrial Engineering, quantitative field
107

Digital Data Analytics & Insights Manager Resume Examples & Samples

  • Website management - proactively identify and make recommendations on the performance of content, sites, and digital channel engagement & conversion to highlight what is meeting the marketing objectives and what isn’t
  • Develop digital analytics best practices, methods for analysing customer data and campaign optimization plans
  • Analyse business problems for routine or specialized decision making; runs complex queries, synthesizes analyses, and is responsible for the preparation of standard and ad hoc reports
  • Responsible for transforming data into actionable insights
  • Responsible for working with the global data analysis team to agree, establish and manage the communication strategy that will enable transparency of metrics across the organization to key business partners
  • Defines and drives appropriate governance for analytics with clear standards around data usage, analytic approaches and decision-making aligned to central team
  • Requires a BA/BS degree in math, statistics, or other specialized research function requiring the design and use of statistical modelling techniques, or equivalent experience
  • 7 years of experience; or any combination of education and experience, which would provide an equivalent background. MA/MS/MBA preferred
  • Expertise in solution design, tag implementation, tool integration, testing and optimization, reporting design and analysis for Adobe Analytics, Google Analytics and other web analytics tools
  • Highly effective in a large virtual cross-functional team aligning to multiple business partners and IT partners
108

Associate Director, Provider Data Analytics Resume Examples & Samples

  • Understand and monitor and communicate business priorities to PDCI Data Sources team members
  • Prepare agendas, meeting minutes and project status related to the Provider Data Sources PDCI workstream
  • Develop and maintain detailed project plans (including resource assignments, schedules, dependencies, etc.)
  • Monitor and document project milestones and outcomes throughout the project lifecycle to ensure adherence to desired timeframes. Help break through barriers that impede progress
  • Identify project duration, effort, sequence, and dependencies of tasks required to meet applicable project objectives
  • Influence or provide input to forecasting and planning activities
  • Collaborate with Business Analysts and Methodologists to create working prototypes of solutions
  • Prioritize and manage an analysis plan and several analytical work streams in support of UHC initiatives and programs
  • Utilize appropriate communications tools / techniques to ensure understanding and buy-in from applicable stakeholders (e.g., executive summaries, key milestones, "4 blocker" summaries)
  • Communicate project risk / issue events, responses and results to applicable stakeholders (e.g., project team, leadership, business partners)
  • Establish, develop and maintain effective relationships with applicable project stakeholders (e.g., project team members, team leads, internal customers, functional SMEs, business partners, leadership)
  • Work with Process Engineering, Payment Integrity, Quality Assurance, and Operations to validate that the methods designed are accurately reflected in the delivered solutions
  • Lead or contribute to the development of program or project scope statements with applicable stakeholders (e.g., program / project charter, Statement of Work, Business Vision Document)
  • Drive / participate in the capital request process, as appropriate (e.g., presentations, cost-benefit analysis, business case)
  • Daily engagement with a matrixed team (domestic and global )
  • BA / BS degree in Business or related field and / or equivalent education and experience
  • 3+ years of project management experience including tracking and planning projects
  • 2+ years working with large data sets and making data-driven analytical decisions
  • 3+ years NDB experience or equivalent provider experience
  • 3+ years Provider Operations experience including defect and remediation analysis
  • Intermediate level of proficiency with MS Project, Excel, Visio, PowerPoint and SharePoint
  • Demonstrated ability to communicate ideas clearly and concisely to leadership
  • Demonstrated ability to prioritize and balance multiple priorities and projects
  • Ability to navigate and drive results in a matrix environment
  • Proven ability to influence course of action with diplomacy and tact when others are directly accountable for outcomes
  • Ability to document and communicate complex technical concepts
  • Able to recognize technical and analytical problems and solution with minimal supervision
  • Effective in fast-paced team-oriented environment
  • Requires agility to flex style in different situations to deliver on commitments
  • PMP Certification
  • Experience with SAS, R, Python, or equivalent software
  • SQL and VBA coding
  • Experience with healthcare data including claims, clinical, HIPAA transactions, Commercial, Medicare, Medicaid, HIPAA transactions
  • Six Sigma training
109

Specialist Data Engineer Data & Analytics Resume Examples & Samples

  • Define and enhance existing ETL/Data ingestation processes/ Loads
  • Partner with Architecture team and optimize//Troubleshoot data loading processes
  • Develop Source to Target mapping and develop code to load data using appropriate technology
  • 3 yrs. experience in Developing/designing data ingestion and job scheduling processes
  • Minimum 3 yrs. experience in developing solutions using databases like Greenplum, or Postgress or, Teradata or Oracle
110

Data Analytics Resume Examples & Samples

  • At least 5 years' experience as an enterprise technology specialist, solutions architect, or systems integrator
  • At least 5 years' experience with Machine Learning and/or big data architectures (Machine Learning, grid computing, data analytics, cloud)
  • Ideally the successful candidate has a University degree in Computer Science, Applied Mathematics, or equivalent
  • Deep understanding Machine Learning & data analytic market and trend, typical applications and corresponding solution architectures
  • Hands on experience of design modern Machine Learning, Machine Learning in the cloud & data analytic solutions with mainstream frameworks & tools like Caffe, TensorFlow, Theano, Torch, R, Spark MLib, etc with deployment & troubleshooting and have used the above in real world projects
  • Excellent communication skill to build a rapport and communicate effectively with all levels of internal and external
  • Fluent verbal and written communication skills in English
  • Highly self-motivated and disciplined, good team player and passion to work within a sales environment
111

Post Market Vigilance Data Analytics Snr Manager Resume Examples & Samples

  • Master’s degree in statistics or biostatistics from an accredited college
  • (5) years of medical device/pharmaceutical post market experience required
  • (4) years management experience
  • Prior experience interfacing with FDA
  • Must have knowledge and understating of Medical Device Regulation and Quality Assurance (e.g.) ISO9001, ISO 13485, ISO14971, IEC 60601; FDA 21 CRF820.30
  • Experience with risk management
  • Competency in SAS programming and Statistical analysis methods/tools
  • Proficiency in report creation (Tableau, Business Objects)
  • Experience with personal computer software (MS Office)
  • Superior interpersonal, written and oral communication skills
  • Ability to successfully balance and prioritize multiple ongoing projects/tasks
  • High degree of initiative and self-motivation
  • Strong analytical skills and ability to solve problems through analytical reasoning
112

Data Analytics & Insights Associate Resume Examples & Samples

  • Process and Data Requirements Analysis and Testing Perform analysis and support continuous improvement of portfolio management and governance processes, with a particular focus on data and reporting. Design business data communications and reporting requirements as an integral part of all projects. Execute reporting quality assurance testing for applicable reporting requirements within all projects
  • Data Extraction and Analysis Utilize available applications/tools to query portfolio data and extract data as needed for reporting analysis/development or for customer delivery. Analyze data for both reporting development as well as trend identification, event impact analysis, process measurement/improvement, and observation/summarization for senior management attention. Conduct research and analysis and examine risk elements of portfolio or public data to present trends, assess risk, and provide mitigation recommendations to management
  • Report Design, Stakeholder Management, and Report Delivery Utilize available applications/tools to design report drafts/mock-ups for iterative stakeholder review. Prepare reporting deliverables. Utilize available applications/tools to develop adhoc/automated reporting for all levels of the organization. Support communications, training, and end user support efforts with reporting awareness and usage guidance. Prepare reporting to all applicable levels of the organization
  • Proven ability to conduct data mining across multiple sets of large data, develop insights, and identify trends while demonstrating attention to detail, sound reasoning, and creative approaches
  • Demonstrated ability to work independently with the ability to question results and drive to accurate conclusions
  • Must have advanced ability to utilize industry standard analysis and reporting tools like Microsoft Excel and Access
  • Must have strong analytical and problem solving skills
  • Demonstrated ability to present, interpret, discuss or write about the conclusions, inferences and results gained from researching data to all levels of management. Strong PowerPoint presentation development skills required
  • Experience in data visualization tools, ie Tableau or Spotfire a plus
113

VP, Data & Analytics Resume Examples & Samples

  • Responsible for building a secure and scalable data infrastructure to support the RFG data and analytics strategy
  • Lead development of data insights that will help drive strategic and tactical business opportunities
  • Champion a data-driven culture
  • Effectively leverage data and analytics to influence across the organization
  • Develop methods and controls to ensure consistent application and use of data
  • Develop common reporting dashboards that all five brands will utilize
  • Motivate, mentor and develop a team of Data and Analytics personnel
  • Partner with other business leaders to assess opportunities, develop implementation plans and evaluate strategy
  • B.S./B.A. required, master’s degree is preferred
  • 5+ years of experience with building and maintaining data architecture, automating data feeds and automating dashboards/reporting
  • Experience in writing and amending SQL Scripts including Access data polls and table merging
  • Proficiency in Microsoft Office suite, including Advanced Excel skills and MS Access
  • Real estate or real estate related experience preferred
  • Strong communication skills (written and verbal) including strong presentation skills
  • Strong analytical and problem –solving skills
  • Proven ability to partner with business leaders to deliver insight through analytics and to leverage data in order to drive strategic growth
  • Must have a strong client- focused orientation
114

Associate Director Integrated Data & Analytics Resume Examples & Samples

  • Engage with business partners all over the world, in the Pharma R&D domain, to understand their information needs & analyse complex information to understand cost, performance and efficiency of RDO processes, and be able to help identify areas for process improvement within RDO
  • Business Lead working with IT on building integrated reporting capabilities for RDO
  • Drive and Lead cross-functional metrics initiatives, such as the Pharm R&D Metrics Council, the Pharm R&D industry benchmarking
  • Maintain cross-functional Janssen Operational Data Dictionary and Metrics Dictionary
  • Drive cross-functional data flow issues to resolution
  • Analyse complex information to understand cost, performance and efficiency of RDO processes, and be able to help identify areas for process improvement within RDO
  • A Bachelor of Science (BSc) or Arts (BA) degree or equivalent degree is required. Preference for degree in Computer Science, Mathematics, Statistics and/or Business Administration
  • Significant experience working in global organisations is required
  • Experience in pharmaceutical, clinical operations, or R&D organisations is preferred
  • Experience with BI tools such as Cognos, Spotfire or Tableau is preferred
  • Must have strong personal leadership with demonstrated competency interfacing with all levels of the organization including senior leaders; Strong networking and relationship building skills; Exceptional written and verbal communications skills
  • Must have conflict resolution/management and negotiation skills; Ability to independently plan, organize, coordinate, manage and execute assigned tasks
  • Excellent knowledge of English is required. Must be proficient in Microsoft Office applications
115

Data Analytics Resume Examples & Samples

  • Pursuing a Bachelor’s Degree in computer science, statistics, data science, operations research, or a related field
  • Academic success (a minimum major GPA of 3.25)
  • Experience performing advanced data analysis using strong analytical and problem-solving skills with deep creativity in addressing problems
  • Experience engineering raw data to support statistical analysis and visualization. Ability to concisely express complex data analytics results in a client’s business context
  • Proficiency of Data Analytics Tools, such as R, Python, Alteryx, Tableau, SPSS, SAS, Power BI, Esri GIS suite, or comparable programs preferred
  • Experience with statistical programming and modelling to support data analytics
  • Experience developing interactive dashboards and compelling data visualizations is preferred
116

Data Analytics Resume Examples & Samples

  • Bachelor’s Degree in related field
  • Understanding of IT general computing controls such as: change control/ SDLC, user provisioning, role based security models and version control
  • Intermediate proficiency in Business Analysis
  • Proficient in Microsoft Excel, Word, PowerPoint, Visio
  • Working knowledge of data warehouse and Business Intelligence tools (Business Objects, Microstrategy)
  • Understanding of data models and Qlikview
  • IBM J-rules engine knowledge
  • Effectively communicate with mid-level management
  • Ability to execute with limited supervision adhering to best practices project standards
117

Data Analytics Prf Resume Examples & Samples

  • Review of data changes to insure accuracy and completeness of documentation
  • Validating data for adjustments used in Month end close process
  • Working efficiently in Microsoft Excel, proprietary data systems and on-line data sources
  • Applying job knowledge, company policies and principles and critical thinking to complete assigned tasks accurately, completely, independently and in a timely manner
  • Daily communication, both by telephone and an in writing, with internal business partners as well as external customers. Communication involves obtaining or providing information on matters of importance to the function of the department and/or which may be of a sensitive nature to the company
  • Provides resolutions to an assortment of problems
  • Typically has two to four years of experience
  • Bachelor’s Degree in Finance, Business Administration or related discipline
  • High proficiency with SQL, PowerPivot, or comparable data management tool
  • Proficiency with Microsoft Excel and Word
  • Multifamily property fundamentals
118

Business & Data Analytics Expert Resume Examples & Samples

  • Take responsibility, drive new developments, and work creatively on challenging and groundbreaking development tasks in accordance with the highest technical standards, plus a high level of commitment, team-spirit, flexibility, and initiative
  • Initiate and develop customization of business & data analytics solutions and liaise within the Global Business Analytics team and the global BASF community
  • Mentor and coach other team members and support their functions by providing expertise and insights into BASF’s organization and projects
119

Data Analytics Co op Resume Examples & Samples

  • Pursuing PhD in Mathematics, Statistics, Spatial Statistics, Geoinformatics, Environmental Modeling, Engineering, Computer Science, Computational Biology, Bioinformatics, Operations Research, Industrial Engineering, or a related field
  • Proficiency in Spatial and/or Temporal Statistical Modeling (Spatial auto-correlation modeling, building spatial econometric models, Topological data analysis, etc.)
  • Proficiency in developing and solving network flow problems for planning, scheduling, and space utilization
  • Proficiency in Machine learning concepts (data transformations, feature engineering, etc.) and algorithms (Ensembles, Deep Learning, SVM, etc.)
  • Theoretical and practical experience in deterministic optimization and algorithm development related to operations management, including experience with CPLEX
  • Experience analyzing and presenting complex data and proven problem solving abilities, including experience with statistical and Mathematical programming packages (R or Matlab)
  • Drive for translating business problems into research initiatives that deliver business value
  • Strong organizational, interpersonal, and written communication skills
  • Ability to work in a matrix environment, influencing people at varying levels of responsibility
  • Pursuing PhD in Operations Research, Industrial Engineering, Management Science, Mathematics, or a related field
  • Proficiency in developing and solving combinatorial & network flow problems for planning, scheduling, and space utilization
  • Theoretical and practical experience in deterministic optimization and algorithm development related to operations management, including experience with CPLEX & OPL (or AMPL)
  • Experience working with agricultural/biological scientific data is highly desired
120

Mgr, Workforce Intelligence & Data Analytics Resume Examples & Samples

  • Manages a collaborative team of analytics professionals to achieve superior results and career development/growth
  • Leads, conducts and interprets advanced mathematical, statistical, querying, and reporting analyses to develop quantitative work products that extract workforce insights to deliver predictive analytics that integrate wide-ranging employee and HR Data, such as employee engagement, critical skill needs, retention, attraction, demographics and satisfaction
  • Advances Raytheon’s strategy and processes for predictive analytics in HR and proactively identifies opportunities to employ analytics with HR stakeholders
  • Develops and manages the delivery of quantitative workforce analyses that deliver insight to stakeholders including how the team mines, inspects, models and transforms organizational metrics/data into useful insight to assist leaders in making more informed decisions about their workforce
  • Addresses key business problems in a clear and concise way and improves HR decision making to gain competitive advantage
  • Develops and nurtures relationships with external workforce analytics industry professionals and/or organizations to gain, leverage, and share benchmarking insight and ensure that Workforce Intelligence at Raytheon is on par with and leading current market trends
  • Partners with internal HRIS, center of excellence team members and HR practitioners to identify and develop technology improvements and systems requirements to automate and improve metrics, analytics, and access to workforce information
  • Interprets output from workforce models, scenario plans, and demographic analysis to influence stakeholders, including developing and delivering presentations to senior executives
  • Provides consultation, subject matter expertise, learning, and support to Workforce Analytics practitioners and other stakeholders as required to develop proactive talent solutions
  • Generates and disseminates actionable information and analysis to senior leadership – including quick response to ad-hoc requests and the delivery of executive-level presentations
  • Contributes to building an analytics culture by assisting in the development of HR practitioners to grow and develop analytical skill sets and data-driven decision making
  • Develops overall project plan for identified initiatives, ensures stakeholder agreement on overall objective, key deliverables and timetable for completion and delivers on approved initiative by measuring and reporting status to stakeholders
  • At least ten (10) years of analytics related work experience or eight plus (8+) years of analytics related work experience and a Master’s Degree
  • Demonstrated supervisory experience leading a small analytics team
  • Application of advanced knowledge modeling such as time series model fitting, Monte Carlo simulation, salt tank modeling, and survival analysis
  • Application of advanced statistical methodology, trending, correlation studies, regression analysis, data mining, metrics development and reporting, workforce forecasting, and competitive analysis and research
  • Proven experience with statistical software packages (such as SPSS), advanced Excel coding, and reporting and visualization tools (such as Cognos, Business Objects or Tableau) that manipulate, aggregate, normalize and visualize large data sets from different sources to derive intelligence
  • Ability to analyze, interpret, synthesize, present and communicate complex information to non-technical audiences in a logical, concise manner supported by business acumen
  • Ability to work both independently and as part of a team, follow-through on both verbal and written instructions, and have the ability and flexibility to multi-task, prioritize, and organize multiple projects/tasks concurrently while meeting required deadlines
  • Experience integrating data from multiple HR programs and systems and explore linkages between HR investments, employee and organizational characteristics, and business outcomes
  • Ability to deal effectively with ambiguity, change and adapts appropriately to a range of situations
  • Strong communication and presentation skills – written, verbal and graphical
  • Working knowledge of aerospace and defense industry
  • Master’s or advanced degree in related field(s)
121

VP, Data Analytics Resume Examples & Samples

  • Manage vendor and internal solutions (e.g. Google Analytics, Krux), solution design, and implementation practices / execution
  • Hire and manage team of Data Analysts to build the subject matter expertise around these capabilities, while engaging with consultants and vendors, as necessary
  • Work in partnership with ad sales and marketing leadership to drive the development and execution of new data-driven marketplace offerings
  • Partner with senior leaders to solve complex business problems, provide data-driven insights, and present strategic and tactical recommendations
122

Data Analytics Opportunities Resume Examples & Samples

  • Actively involved throughout the life-cycle of an assignment – requirements definition, specification, data collection, solution design, development, documentation, implementation and user training
  • Working directly with clients as well as other EY specialist teams
  • Manages clients expectations in relation to deliverables
  • Strong experience in SQL Server and MS Excel is required, plus at least one other SQL dialect (e.g. , MS Access, Postgresql, Oracle PLSQL, MySQL)
  • Programming experience in VB, VBA, SQL stored procedures
123

Data Analytics Resume Examples & Samples

  • Research, download and cleanse data to build effective AML/ATF predictive analytics solutions including risk models; utilize complex and large volumes of structured and unstructured data, applying advanced analytics methods and tools, including machine learning, to allow for better target persistence and reduced FPR/FNR
  • Support development of AML risk data schema, value-categorization, etc. and help maintain an effective risk data library within AML Analytics
  • Study data quality, profiling, aggregations, etc. to determine influences and determine required calibrations to support the timely and accurate completion of key AML work packages including Risk Assessment; execute data queries/extractions, data mining, scenarios/hypotheses testing, sensitivity analysis, regression analysis, etc., as needed to identify AML risk landscape by segmentation
  • Determine data sourcing for specific AML initiatives including Risk Assessment and support timely resolutions of challenges impacting data quality and/or availability
  • Research enterprise AML risk data to determine the adequacy of current data for assuring risk coverage of key areas and where gaps are discovered, support quantification of risk impacts with simulation and/or predictive analytics/modeling; present findings via effective analyses to management
  • Build, test, document and maintain a library of AML advanced analytics tools for testing hypotheses and sensitivity analysis
  • Support the design, analysis and interpretation of controlled randomized tests (e.g. multivariate) to provide scalable and differentiated decision support and identify ML/TF scenarios under customer, product, channel, geography, LOB, etc. segments
  • Support research, development, testing, and installation of appropriate stop-gap measures, using risk modeling and/or other advanced analytics techniques, to create exception reports and other diagnostics to address material AML risk exposures
  • Adopt visual analytics as an invaluable tool, especially for Risk Assessment, and work collaboratively with other AML Analytics units to assure timely and accurate delivery of visuals analyses, reports, charts, and other artefacts
  • Maintain familiarity with AML/Fraud technology products & solutions, industry trends, etc. and apply corresponding knowledge to augment own performance
  • Maintain knowledge of the regulatory environment and changes across the enterprise and determine impact to own work and resolve as needed
  • Stay abreast of leading AML products & solutions, emerging industry trends, etc. to suitably apply such knowledge to optimize own results
  • Become data expert on AML data schema, repositories, dictionaries, meta-data, etc. whereby data elements at product, customer, geography, channel, business areas, etc. level will be analysed for prevalence, reliability and value-categorized in a master library for use by AML Analytics and others across enterprise AML Risk Management
124

Director, Scientific Systems & Data Analytics Resume Examples & Samples

  • Accountable for the development and execution of innovative scientific data management, analytics, and reporting strategies in collaboration with PDMS Small & Large Molecule and Clinical Supply Chain value streams, IT and other related business partners. Responsible for ongoing system ownership and maintenance of PDMS-wide manufacturing and laboratory systems. Responsible for ensuring system best practice usage
  • Responsible for measuring and monitoring effectiveness and continuous improvement of related execution strategies to meet evolving PDMS and business partner needs
  • Responsible for representing PDMS on Enterprise Systems Strategies including system selection, modification and deployment in partnership with IT
  • Responsible for leading the definition of the data management strategy to support process modelling, PAT, multivariate analysis and statistics strategy with the value streams, IT and related business partners
  • Responsible for leading and developing a diverse, global team of scientists and engineers to execute strategies
  • Responsible for ensuring that we are resourcing our teams with the right talent and have the processes in place that allow us to deliver on our current and future portfolio needs
  • Responsible for forecasting and monitoring capital and expense budgets relating to areas of responsibilities and FTE resources
  • A Bachelor’s Degree in Life Sciences (Chemistry, Biochemistry, Chemical Engineering Etc.) with at least 10 years of relevant experience required
  • Advanced Degree preferred
  • At least 5 years of people direct line management experience
  • While this position’s preferred home base will be US – North America, Pennsylvania’s Spring House or Malvern, Pa. location, there will be 25% - 35% international travel required
  • Demonstrated success establishing and executing data management strategies to meet complex analytics and reporting needs in the science and engineering space is required
  • Experienced in the use of a wide array of data analysis techniques and tools in designing solutions to satisfy business needs is required
  • In depth knowledge of laboratory and manufacturing systems used in support of pharmaceutical process development and clinical manufacturing is required
  • Knowledge/understanding of ISA95-S88 recipe standard is required
  • Experience with drug development, tech transfer, and product lifecycle management processes, and the relevant data analytics approaches is required
  • Knowledge/Understanding of GMP as it relates to laboratory and manufacturing systems, scientific data management, analytics and regulatory reporting is required
  • Experience in business practices including capital and operating budget management, program management, and strategic planning is required
  • Knowledge/understanding of Electronic Lab Notebook, Chromatographic Data Management Systems such as Empower, Process Data Historians, NoSQL, R, Structured Content Management Systems (Drupal, Cognition) is preferred.Technology Engineering
125

Rmd-rmam-data Analytics Resume Examples & Samples

  • Must know or be able to learn Excel to an advanced level
  • Experience working with large sets of data a plus
  • Mortgage banking or other financial industry experience preferred
  • Strong communication, with the ability to translate between IT and business units and manage internal and external relationships
126

Data Analytics Co-op Resume Examples & Samples

  • Pursuing a Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field
  • Must be a Sophomore or Junior and able to complete a co-op prior to graduating
  • Must be able to complete a co-op from January 2017- May 2017
  • Working knowledge of Linux operating system
  • Ability to learn quickly
127

Director, Digital Data & Analytics Resume Examples & Samples

  • Product management for data instrumentation, transformation, provisioning, visualization and presentation layers
  • Contribute to data, reporting, and analytics strategy and framework for Visa's Digital products stack
  • Drive program KPIs, web analytics, mobile analytics, and cohort and customer behavior analysis
  • Work with senior leaders and business partners to understand critical business problems and areas of opportunity, influence to implement recommendations
  • Translate business problems into analytical framework and insights back into actionable recommendations
  • Manage, lead and execute complex projects independently from end-to-end; work with cross-functional teams to deliver on the complex projects
  • Lead and coordinate development of business requirements crossing multiple application development teams, and the reporting and data architecture technology team
  • Conduct UAT and ensure requirements were understood and implemented as requested
  • Evaluate new product opportunities and bring forward proposals for products to expand the product line
  • Influence product and technology strategy and direction (roadmap), and product and user experience decision-making through full suite of analytic and experimentation tools
  • Act as a thought leader, providing management and product managers with recommendations for product features and functionality derived from data insights
  • B.S/B.A. degree in Computer Science, Information Technology, Mathematics, or Statistics; MBA. or equivalent advanced degree strongly preferred
  • 12 years of progressive experience in Business Intelligence domain include delivering insights and recommendations for product and experience optimization
  • Strong working knowledge of applicable technologies & concepts including: data warehousing, data mining, big data, web analytics, A/B testing and dashboard & reporting solutions
  • Ability to define issues, questions and data; to comprehend qualitative and quantitative methods to perform accurate analysis
  • Outstanding analytical skills, problem solver, and attention to detail
  • Results driven and ability to coordinate and prioritize multiple tasks in a fast-paced environment
  • Motivated self-starter who can take charge of complex tasks with minimal direction
  • Strong project management skills and demonstrated ability to coordinate multiple parties to deliver a product
  • Demonstrated strength at building relationships , highly motivated, strong sense of urgency, ability to motivate others
  • Excellent written, oral communication and presentation skills are required
  • Required tool experience –Microstrategy, Tableau, Google Analytics, SQL
  • Experience in Statistical Modeling, Segmentation, Data Mining and/or Machine Learning highly desired
  • Team player, with proven track record of taking initiative and ownership of responsibilities and deliverables
  • Financial services/payments, ecommerce, marketing and mobile commerce industry experience a strong plus
  • Prior knowledge of the Visa data is a plus
128

Data & Analytics Resume Examples & Samples

  • Team up with the best people on the most challenging Financial Services programs
  • Share knowledge with people known for their world-class expertise and insight
  • Work with global clients, locally and internationally
  • Be exposed to different business cultures in high-performing teams
  • Help shaping the future of financial services
  • Develop an international network of colleagues and clients that will last a lifetime
  • A university degree with a minimum of a 2:1 (or equivalent), and ideally an MBA or MSc
  • Relevant technical and delivery experience within, or working as a consultant/advisor to, a financial services organisation
  • Experience in the following SAS products: Base SAS, Enterprise Guide (EG), Data Integration Studio (DI), Visual Analytics (VA)
  • Experience with additional data tools, for example: AbInitio, Cloudera, Hadoop (and other Big Data solutions), Informatica, MarkLogic, Qlikview, Spotfire, Tableau, Teradata
  • Strong communication, presentation and business and technical writing skills
  • The ability to provide excellent client service and manage and build strong relationships both internally and externally, coupled with a strong interest in further developing and integrating operations with technology skills
  • Awareness of emerging issues, including regulations, industry practices and new technologies
  • Experience in data analysis and using data to solve complex business problems
  • Experience in Customer Insight
  • Experience in any of the following areas of financial crime: AML Transaction Monitoring, KYC, Sanctions and PEP screening, Fraud, Risk Models and Model Validation, FIU and Investigation Support, Anti-Bribery and Corruption, Trade Surveillance and Monitoring, Enterprise Compliance Reporting and Governance, Regulatory Transformation
  • Experience of one or more financial crime solution providers, for example: BAE Systems NetReveal (including Norkom), Dow Jones, FircoSoft, Fiserv, Mantas, NICE Actimize, Palantir, RDC, SAS (Visual Statistics, Text Miner, Enterprise Miner, Data Quality, Visual Scenario Designer, HPENG, Model Manager), SWIFT, Thomson Reuters
129

Data & Analytics Resume Examples & Samples

  • Experience in any of the following solution areas: AML Transaction Monitoring, KYC, Sanctions and PEP screening, Fraud, Risk Models and Model Validation, FIU and Investigation Support, Anti-Bribery and Corruption, Trade Surveillance and Monitoring, Enterprise Compliance Reporting and Governance, Regulatory Transformation
  • Experience of one or more financial crime solution providers, for example: BAE Systems NetReveal (including Norkom), Dow Jones, FircoSoft, Fiserv, Mantas, NICE Actimize, Palantir, RDC, SAS, SWIFT, Thomson Reuters
  • Experience with data tools, for example: AbInitio, Cloudera, Hadoop (and other Big Data solutions), Informatica, MarkLogic, Qlikview, SAS, Spotfire, Tableau, Teradata
130

Specialist, AML Data Analytics Resume Examples & Samples

  • Engage with business and technology & operations (T&O) partners to foster a culture of information sharing and learning, to satisfy AML Analytics’ mandate to assure satisfactory risk coverage of money laundering/terrorist financing risk through data science, data integration and data utilization
  • Experience in data, statistical and predictive analytics/modeling to drive business or risk management solutions
  • Understanding of database objects and components
  • Experienced in database programming (stored procedures, functions). Netezza experience preferred
  • Experience working in an Agile environment and leveraging Agile methodology
131

Senior Manager of Data Analytics Resume Examples & Samples

  • Partner with attorneys and clients to deliver statistical analysis work (e.g. damages assessment, compliance audits, risk assessments, etc.)
  • Managing the operations of the group and providing guidance and support to the data analysts
  • Identify problem areas and take corrective actions
  • Assist with developing market data analytics products and services
  • Assess economic issues
  • Manipulate medium-to-large data sets
  • Master’s Degree is strongly preferred
  • 5+ years’ experience in data analytics
  • Supervisory experience is required
  • Experience at a law firm is strongly preferred
  • Expert in Stata
132

Specialist, Global Data Analytics Resume Examples & Samples

  • Bachelor’s degree in Marketing, Business, Statistics, Applied Math, Finance, Engineering, Computer Science, Statistics, or Economics from an accredited institution
  • Minimum of 3 years of analytical experience
  • No relocation benefit is offered for this position. Candidates residing within a 50 miles radius of Pittsburgh, PA will only be considered
  • Minimum of 5 years business, finance, marketing, statistics, or information technology experience
  • Advanced degree in Marketing, Business, Statistics, Applied Math, Finance, Engineering, Computer Science, Statistics or related field is preferred
  • Strong analytical skills, with proven capabilities in data modeling
  • Demonstrated proficiency in using data analytics tools, including Microsoft BI and Excel
  • Strong communication and presentation skills
  • Experience with Microsoft Access, VB, SharePoint Administration, Microsoft BI Tools Knowledge and/or SQL languages
133

CCB Risk-data Analytics Resume Examples & Samples

  • Lead initiatives to implement and monitor BCBS controls on new and existing Risk reports in partnership with report owners
  • Lead stakeholder forums to disseminate new control requirements and collect feedback from report owners
  • Partner with IT to support key technology initiatives targeted towards enhancing reporting capabilities within MB Risk
  • Lead the Risk Reporting portal administration by developing and executing robust user access control procedures
  • Coordinate with Technology, Report owners and UAT testing teams to execute change requests to existing BCBS reports
  • Become SME for BCBS requirements, and assist report owners as needed
  • Minimum 5 years’ experience in Risk, Audit, Compliance, Operations or Process Management
  • 4+ years of project management experience in a multi-project/multi-team environment preferred
  • Creative thinker/problem solver and strong project manager able to manage multiple initiatives and adapt quickly to changing priorities
  • Proven ability to work collaboratively and developing strong, positive working relationships with multiple stakeholders
134

Data & Analytics Graduate Intern Resume Examples & Samples

  • Analyzing financial data and information in the context of Workforce Solutions business operations
  • Contributing to R&D projects and product innovation
  • Contribute to the formulation of modeling and machine learning solutions
  • Integrating diverse data sources, which can include structured and unstructured data, into new solutions
  • Research new modeling techniques as appropriate for a specific solution
  • Assist in metrics-driven process improvement initiatives within the Data & Analytics group
  • Hands-on experience using analytical tools, software, languages (SAS, R, Python)
  • Strong knowledge of database concepts and SQL working with Big Data
  • Ability to explore innovative ideas for statistical solutions related to business issues
  • Exposure to advanced machine learning techniques such as (neural networks, random forest, SVM, clustering, Bayesian networks, graph theory, etc.)
  • Experience working with structured and unstructured data sets
  • Ability to clearly present statistical solutions and results to a non-statistical audience
  • Graduate-level coursework or experience in statistics and/or quantitative analysis (statistics, marketing analytics, econometrics, mathematics, machine learning, operations research, or related)
  • Expert Microsoft Office Word, Excel and PowerPoint skills
  • Experience with Tableau or other data visualization tools
  • Very curious and highly driven with a distinct passion for data science
  • Able to understand the big picture as well as pay attention to detail
  • Strong analytical problem-solving abilities
135

IT Lead, Data & Analytics Resume Examples & Samples

  • Understands and applies BI Data Warehousing with experience in AWS (Redshift, S3, EMR), Talend and Cognos, Tableau and Qlik toolset or similar
  • Provides technology leadership to develop data models to meet the needs of the organization's information systems, manages data dictionary and the flow of information through the use of columnar databases
  • Maintains data integrity by working to eliminate redundancy
  • Participates in Data Governance meetings and engaged with cross functional teams to stay informed of the ways the organization uses its data and understand its potential impact to own projects
  • Provide technology leadership in analytics visualization to design solutions and deliver effective user-centric and intuitive analytics tools and dashboards. Drive self-service analytics models and solutions
  • Partner with business product owners to define the IT needs and Agile stories and work with Agile team deliver the solutions utilizing an Agile delivery model
  • Maps out complex business processes to serve as reference for development of analytics solutions and advocates for business processes implication where appropriate to deliver robust and cost effective solutions
  • Coordinate progress of visualization work in single and multiple Agile Scrum work streams. Co-ordinates work streams, activities and initiatives across Product Lines as needed
  • A minimum of 5 years of data and analytics interacting with business users experience is required
  • Applied experience with Amazon Web Services Redshift is required
  • Experience with data modeling skills and managing data dictionary is required
  • Proven experience deploying business analytics tools, business intelligence, and visualization solutions in direct support of business functions is required
  • Demonstrated success applying Tableau, Cognos, Qlik, Talend or equivalent analytics tool to deliver insights with positive business impact is required
  • Demonstrated experience analyzing and translating business requirements are required
  • Knowledge of commercial and sales reporting data sources is preferred
  • A strong business acumen and aptitude for empirical research to answer challenging questions with data is required
136

Director for Data & Analytics Resume Examples & Samples

  • 10+ years of leadership and management experience from international organizations
  • Possess strong leadership capabilities combined with a strategic forward thinking mindset
  • Solid business acumen and are good at interacting with a wide array of stakeholders in a strategic enterprise
  • You are able to communicate both technical and business related subjects to any audience
  • You enjoy building relations, using you proficient team leading, collaboration and communication skills
  • You have experience with developing complex customized solutions, including solid understanding of the finance, value chain and business drivers in engineering and manufacturing
  • Experience with definition of IT offerings (business and technical terms); identification, formulation and prioritization of demands and requirements; management of defined IT offering across life cycle, including sourcing and management of portfolio
  • English, fluent orally and in writing
137

Data Analytics Assoc Resume Examples & Samples

  • Perform hands-on quantitative, statistical, financial and operational analysis to produce and communicate meaningful and actionable patterns, trends, insights and recommendations - i.e.: mine the data, analyze, identify key trends or anomalies, organize results in a clear and concise manner, and ultimately drive business results. Be able to “Tell the story.”
  • Identify data quality anomalies through the generation and analysis of customized and cyclical reporting processes as well as identifying trends and opportunities for improvement, providing recommendations to management and business partners
  • Track, coordinate and communicate the resolution of identified data quality issues
  • Providing basic support in the development of various Single Family Operations Portfolio Surveillance analytics, using data mining, statistical, forecasting and modeling techniques
  • Execute and maintain data processes and controls
  • Leverage data mining techniques to analyze and summarize data trends and patterns across multiple data stores
  • Support User Acceptance Testing (UAT) efforts for production system releases
  • Bachelor’s degree with relevant coursework in any of the following: Information Systems, Information Technology, Computer Science, or Financial/Statistical Analysis with a concentration on data analysis
  • 1 to 3 years hands-on experience developing data extraction, data integration, data quality, and data management processes using SQL, Access, SAS (Either professional experience or demonstrated through relevant coursework)
  • Database knowledge on DB2, Sybase, Oracle, SQL Server, or Access
  • Proficient in working with larger data sets, demonstrating basic knowledge of SQL and advanced Excel
  • Must be comfortable working independently and must be able to multi-task
  • Experienced in communicating risk and resolving issues across departments and internal customers
  • Advanced communication skills in presentations and coordinating deliverables from multiple sources
  • Experience administering SAS and ability to configure SAS to work with multiple data sources and platforms (RDBMS, flat files, etc.) preferred but not required
  • Demonstrated knowledge of the GSEs, related agencies or primary mortgage market
  • Experience developing solutions in DataFlux, Informatica MDM, or Informatica DQ
138

Senior Director, RWE & Data Analytics Resume Examples & Samples

  • An MSc/PhD in statistics, biostatistics with in-depth knowledge of multivariable models and survival analyses
  • ≥ 7 years’ experience working as a statistician
  • In depth experience of statistical methods for analysing of clinical trial and health-related data as well as retrospective databases
  • In-depth knowledge of SAS is essential. Although the role is for a statistician rather than a programmer, the post-holder will need to do statistical analyses in addition to work closely with SAS programmers
  • Experience of observational data and/or registries is essential
  • Knowledge of data management methods to deal with high volumes of data is essential
  • Knowledge of Bayesian statistics and clinical trial data design/analysis would be an advantage
  • Experience in health economics and/or epidemiology
  • Experience in Project managing and client facing interactions
  • Experience managing a team of statisticians/programmers would be an advantage
139

Summer Internship Data Analytics Resume Examples & Samples

  • Pursuing a Bachelor’s degree in Analytics, Computer Science, Statistics, or a related field
  • Self- motivated professional who is passionate about data with strong technical and analytical skills
  • Strong communication, organizational and problem solving skills
  • Cumulative GPA of 3.0 or higher
140

Data Analytics Assoc Resume Examples & Samples

  • Bachelor’s degree with relevant coursework in Information Systems, Information Technology, Computer Science, or Financial/Statistical Analysis with a concentration on data analysis
  • 1 to 3 years hands-on experience developing data extraction, data integration, data quality, and data management processes using SQL, Access, SAS
  • Either professional experience or demonstrated through relevant coursework
141

Manager of Data Analytics Resume Examples & Samples

  • Manage an elite team
  • Develop and improve quantitative data analytics and set performance targets
  • Interpret and analyze clinical data from various sources and recommend best approaches
  • Lead complex projects to provide updates and to draw results and conclusions
  • Develop medical expense forecasts
  • Provide claims, premium, capitation and membership data in support of Underwriting, Actuarial and utilization analyses
  • 7+ years of experience in health care informatics and performing analysis on health data metrics
  • Experience directing cross-functional teams
  • Minimum of an advanced level proficiency with SQL, SAS and / or other statistical programs
  • Minimum of an an advanced level of proficiency working with MS Excel including advanced formulas, pivot tables, macros, lists, statistical functions, etc
142

Data Analytics Platform Engineer Resume Examples & Samples

  • Proven ability designing distributed systems to process large data sets
  • Experience creating real-time analysis tools. Data visualization experience or understanding of BI tools is a plus
  • 4+ years experience with Java
  • 2+ years experience designing large-scale distributed systems, especially Map/Reduce
  • Strong knowledge of SQL and NoSQL databases
  • Experience with OLAP a plus
  • An understanding of wireless technologies is a plus
143

VP-data & Analytics Resume Examples & Samples

  • Bachelor’s Degree in Computer Science, or Engineering from an accredited college or university
  • Minimum of 15 years of experience in Information Technology and Software Development
  • Minimum of 5 years of experience with data analytics architecture and major ERP implementation
  • Minimum of 5 years of managerial experience in business planning, resource allocation, and / or project management for software engineering, data analytics, cloud operations and/or IT
  • Minimum of 10 years of experience in designing, implementing and managing large scale, complex, high throughput technology solutions
  • Ability and willingness to travel 25% of the time, as required
  • Substantial hands on knowledge of data management / data engineering, Analytic platforms, hardware platforms, software applications
  • Proven success in major ERP system implementation and operations
  • Proven experience running and successfully managing cross functional teams
  • Evangelizes new technology, predicts trends, and identifies new opportunities based on trends
  • A change agent who has successfully driven a data architecture strategy
  • Acts as industry expert by participating in defining standards and open source initiatives
  • Creates a culture of customer focus and high performance to drive innovation
  • Establishes framework for a culture of successful collaboration by defining a common understanding of who has decision rights and accountability, and how collaboration and transparency are rewarded
  • Sets/changes direction at the enterprise level by building and using direct and indirect support for ideas
  • Uses critical thinking skills and disciplined approaches to help leaders and leadership teams resolve issues and define solutions
  • Experience with managing Software as a Service (SAAS) hosted environment
144

Senior Associate, Data Analytics Resume Examples & Samples

  • Work with Tax business teams to identify anomalies, trends and derive insights in large volumes of data to support Tax Planning, benchmarking, and other initiatives
  • Assist with data acquisition from disparate systems and in different formats including ERP systems, web, databases and excel
  • Lead a Data Analytics team
  • Master’s degree from an accredited college/university or foreign equivalent in engineering, computer science, information systems, management information systems or related fields, plus three to five years of experience
  • Perform data manipulation and analysis using ETL and visualization tools such as Qlikview, Tableau, Powerview, Alteryx, SSIS
  • Strong statistical programming background one or more languages: R, Python, SAS
  • Development experience with one or more programming languages (C#, Java) and database technologies (SQL Server, etc)
  • Knowledge of Machine Learning and/or Big Data tools (Spark, Hive, Pig, etc) is a plus
145

Postdoc Position H Soda Project Scalable Oblivious Data Analytics Resume Examples & Samples

  • A solid background in Computer Science with specialization in data mining, machine learning or related areas (demonstrated by a relevant PhD)
  • A strong interest in privacy-preserving analytics and multi-party computation
  • Being enthusiastic about collaboration between data mining and crypto
  • Experience with distributed data mining and streaming algorithms is a plus
  • Hands on experience with development of efficient data mining techniques in a plus
  • Perform scientific research in the domain described
  • Collaborate with other researchers in this project
  • Publish results in leading scientific journals and conferences in the field
  • Assist in guiding (project-related) MSc graduation projects
  • Cover letter explaining your motivation and qualifications for the position
  • Detailed Curriculum Vitae, including list of publications
  • A copy or a link to your PhD thesis. If you have not completed it yet, please explain your current situation
  • Key publications (or links to download)
  • Description of software developed (or links to GitHub) if any
  • Names of at least two referees
146

Data Analytics Prf Resume Examples & Samples

  • Participation in the full life cycle of a project, which includes identification of requirements, prototype, design, development, testing and implementation
  • Providing input into proposed solutions, identify impacts, risks and issues, and work with technical and business staff to implement proposed solutions
  • Partner with the business area and provide expertise in solving complex business requests and processes. Automate manual processes to reduce risks
  • Assist in development of training programs and materials for the user community
  • Analyzing business requirements to convert them into detailed system requirements and functional specifications
  • Manage issue resolution with business users and technical support partners. Liaison with IT teams in troubleshooting, resolving, and preventing system outages/downtime
  • Supporting business areas with the development, enhancement, and maintenance of standard report templates
  • Strong data and financial analytical skills; Ability to quickly understand complex financial concepts
  • Experience using Oracle Hyperion Planning, Smartview, Essbase, Microstrategy, and/or PeopleSoft Financials application and queries (or similar ERP system) strongly preferred
  • Organizational skills and the ability to multitask ; Prioritizing assignments and working independently to ensure work is completed on schedule and meets customer expectations
  • Demonstrated ability to work independently, as well as part of a team
  • Ability to work effectively with continuous change and short deadlines
  • Bachelor degree from an accredited institution or related business experience
  • Must be a self-starter, eager/willing to learn, and can excel in a dynamic fast paced environment
  • Experience using Oracle Hyperion Planning, Smartview, Essbase, and/or Microstrategy
  • Experience with PeopleSoft Financials application and queries (or similar ERP system)
  • Experience using Microsoft Access databases
  • Experience maintaining hierarchical trees a plus
147

Senior Director, Head of Data Analytics Resume Examples & Samples

  • Deliver information based solutions that drive long term sustainable growth or prevent risk across various business functions. These solutions will need to advance decision science based theory and application. Produce measurable results and impact against key business metrics
  • Establish strong and impactful business partnerships and establish joint goals, cross organizational commitments, project timeliness, deliverable expectations and timeliness. These engagements will be critical to prioritize demand, communicate requirements, and to execute changes. Influence change directly by working with executive leaders across the firm. Proven ability and experience managing multiple and diverse areas of focus/business
  • Consistently deliver quality results through analytics and ensure the appropriate tracking and evaluating processes are established, progress against goals and project plans, and collaborate on problem-solving to drive successful implementation. These results need to be delivered timely and in accordance to Ameriprise Auto & Home control policies and procedures
  • Thoroughly understand all business areas to provide thought leadership to identify business opportunities using business intelligence
  • Provide analytic support, content expertise, competitive perspectives and vision with business leadership team to drive information based solutions into decision making, business transformation, and critical business processes
  • Lead a diverse professional team that can consistently deliver valued and impactful information driven solutions. This team will include professionals at all levels, that have unique abilities and training. The team may be in multiple geographic locations. Provide coaching, goal setting, and conduct performance reviews for direct reports. May have people leaders as direct reports
  • Provide enterprise level analytical solutions to complex problems by managing analytical projects that cut across multiple business areas. Also asses the need to re-engineer business processes and establish new business model in order to establish controls and processes that ensure compliance for the company
  • Lead the advancement of the data warehouse to provide data analytic solutions for the enterprise
  • Bachelor's degree or equivalent with a focus on analytics, business intelligence, economics or statistics
  • Outstanding communication and presentation skills of complex solutions
  • Experience with and exposure to predictive analytics around profitability, preferably in an insurance organization, including rating and Underwriting models
  • Strong client-service orientation
  • Proven ability and experience managing multiple and diverse areas of focus/business
  • Demonstrated thought leadership through use of analytics and decision-based science in applicable industries
  • Willingness and ability to take risk and challenge the status quo, and ability to "think outside of the box"
  • Excellent project management and budgeting discipline
  • Proven ability to influence and partner with business leaders to successfully drive the analytic agenda, support large change agendas
  • Ability to provide sophisticated analytical solutions by utilizing Financial Services industry and product knowledge
148

Data Analytics & Data Services Developer Resume Examples & Samples

  • Technical Design & development of Operations Dashboard and Data Quality Engine
  • Technical Design & Implementation of Portfolio analytics and calculation services
  • Develop solution to evaluate and demonstrate investment performance based on single account, portfolio hierarchy, client level, or client grouping levels
  • Design, Develop & Integrate Data Quality rules engine with overall data platform & ETL tools
  • Ensure platform delivery, stability, simplify environment & integration with strategic roadmap
  • Collaborate and partner closely with program managers, BAs, development leads, testing leads and production support teams to ensure delivery meets highest quality standards
  • Bachelor’s Degree in Computer Science or relevant major
  • Technical specialist with strong analytical and technical ability & Performance domain expertise
149

Data & Analytics Resume Examples & Samples

  • Assist Senior Qlikview developers with developing Reports and Dashboards using QlikView
  • Assist the team with testing reports and dashboards that are being developed by the team
  • Assist the team with day to day tasks in BI team
  • Monitor reports, dashboard performance through enterprise QMC tool
  • Assist with ad-hoc technical support to the user community
  • Help the senior member with data extracts out of BI system using SQL
  • Being a part of a POC effort to help build and scale a new Hadoop environment
  • Any experience with dashboard technologies, data analysis, data loading or SQL queries is a plus
150

Mgr-data Analytics Resume Examples & Samples

  • Lead a team of data analytic resources charged with designing, implementing, and analyzing the evolution of our digital customer experience
  • Understand and influence business strategy and design the analytical solutions to support the implementation of these initiatives
  • Develop automated solutions for sales related trends and alerts for statistically significant deviations from trend
  • Lead and define the analytical strategy of the channel and implement a suite of tools, solutions, and curriculum in partnership with the training teams to maximize Verizon investments in the Digital Operations channel
  • 5 + years of relevant experience in digital reporting, metrics & analytics, with at least 2 - 3 of those years at a company with a company having a large e-commerce site with a merchandising analytics component
  • Omni channel and attribution metrics experience is a plus, as is experience with digital advertising metrics
  • 3-5 years in telecommunications or wireless industry is also a plus
  • Motivation not just to change how we work with our customers, but also in the way that we operate as a business. This role offer great opportunities to make your mark, develop VZW Digital Operations and Omni strategy and to see the end results of your initiatives as our business grows
  • Experience with Teradata, Experian data, Astor, and testing tools (Monetate, Test & Target), Ensighten, DFA/DFP a big plus
151

Data & Analytics Director Resume Examples & Samples

  • 4-year college degree required
  • Engineering, Computer Science, Statistics or Analytics based degree highly desired
  • MBA or equivalent experience desired
  • Prior experience in high tech or management consulting highly desired
152

Senior VP-data & Analytics Resume Examples & Samples

  • Work with verticals to design solutions based on existing and new capabilities that deliver unique value propositions to customers
  • Lead data R&D and data linkage to optimize future products through strategic data enrichment
  • Manage Concept prototyping and testing of new product concepts to develop successive minimum viable products (MVP)
  • Lead new tools evaluation and technical due diligence of new capabilities
  • Develop global solutions taking into account the differences in data and assets, as well as local nuances, across geographies and regions
  • Ensure component/solution design aligns with data usage requirements
  • Ensure component/solution design can be standardized and built to scale
153

Associate Director of Data Analytics Resume Examples & Samples

  • Experience in Salesforce, Slate, Simplicity required
  • Familiarity with higher education environment and knowledge of the University of Chicago's unique culture preferred; familiarity with Harris strongly preferred
  • Experience in using survey tools and analysis (SurveyMonkey, Qualtrics, Tableau) required
  • Experience in data modeling, statistical and regression analysis tools (Stata/SAS/SPSS) required
  • Familiarity with programming languages (R/Python/C++/Matlab) required
  • Familiarity with database management systems and working knowledge of SQL required
  • Ability to problem-solve with minimal direction
  • Strong organizational skills and attention to detail; ability to manage a variety of tasks
154

Data Analytics Engineering Manager Resume Examples & Samples

  • Contribution to MFC IT and ACE Analytics/BI strategies, and tactical implementation of those strategy components
  • Significant interaction with functional stakeholders and their leadership to promote and guide the growth and maturity of advanced analytics at MFC
  • Oversight of assigned MFC Analytics development and support efforts, including responsibility for cost, schedule, quality, and system performance
  • Leadership of staff, who perform Advanced Analytics development and support efforts, toward performance excellence, including mentoring and coaching on best practices
  • Management of assigned staff development (performance management, merit, promotions, etc.) and policy compliance, as well as all aspects of staff hiring, resource planning, & assignments
  • Management of staff training and skill development to ensure required skills are available and deployed as needed
  • Management of assigned budgets (Project Investment, Sustainment, EBS Overhead, Travel, Training, and Awards) for optimal use and achievement of organizational goals
  • Experience working with business communities to develop and deploy business analytics solutions
  • Demonstrated ability to create and implement technical strategy in the areas of Advanced Analytics and Business Intelligence
  • Demonstrated ability to lead Advanced Analytics technical teams to develop, release and support deliverables
  • Demonstrated management skills including budget management and scheduling
  • Experience with in-memory database and ETL products, preferably SAP HANA
  • Experience with Business Intelligence products, preferably Business Objects and Tableau
  • Experience applying data management principles (governance, quality, tools, etc) for the benefit of IT or self-service stakeholders
  • Experience establishing a cross-functional data governance program, and/or applied experience in implementing a business glossary in a large organization
  • Demonstrated business acumen and ability to balance technical requirements with business needs
  • Demonstrated ability to coordinate effectively across both Information Technology and Business Functional organizations
  • Experience in implementation, upgrade, migration, and/or retirement of analytics platforms, including collaboration with Infrastructure and IT Security organizations
  • Experience with distributed big data architectures
  • Staff management (performance management, merit, promotions, hiring, training skill development, etc.) experience
  • Experience leading a diverse team with multiple components across geographic locations
  • Experience mentoring and coaching
155

Data Analytics & Insights Lead Resume Examples & Samples

  • Interpret data, understand results using statistical techniques and provide ongoing reports
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, understand, and interpret trends or patterns in complex data sets
  • Filter and “clean” data, and review computer reports, printouts, and performance indicators to locate and correct code problems
  • 5 years+ proven working experience as a data analyst/data consultant
  • Knowledge of statistics and experience using statistical packages for understanding large datasets (Excel, SPSS, SAS etc) is essential
  • Knowledge and experience with reporting packages is desired (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
  • Solid analytical skills with the ability to collect, organise, understand, and disseminate significant amounts of information with attention to detail and accuracy
  • Fluent English Speaker
  • German as an asset
156

Operational & Data Analytics Resume Examples & Samples

  • Problem solving and investigative skills
  • Excellent communication and organization skills
  • Database administration – knowledge of database structure / indexes; ability to restart processes if they fail
  • People skills
  • Self-motivated and dependable
  • Ability to meet deadlines
  • Adaptable and proactive
  • Respectful and professional
  • Consistency and accuracy Operations Analyst Job Duties: As CGI IIS supports the Canadian Property and Casualty industry, knowledge of the Canadian provinces and regions is required. A basic understanding of insurance principles would be an asset as well as an understanding of Canadian Privacy Laws (PIPEDA)
  • Accomplishes business objectives by keeping our databases up-to-date and solving any data reporting irregularities
  • Perform daily data processing as preparation for nightly database updates
  • Verifies results of updates by completing database queries
  • Maintains systems by researching and resolving problems and discrepancies; maintaining systems integrity and security
  • Communicate to clients on the phone and email
  • Prepares ad hoc reports by collecting, analyzing, and summarizing information
  • P&C Insurance
  • Client Relationship
157

Data Analytics Resume Examples & Samples

  • Supporting the wider team on clients expectations in relation to deliverables
  • Work with Executives to identify risks on the assignment, involving Director / Partner appropriately in its resolution
  • Qualification in Computer Science, Operational Research, Statistics, Mathematics, Engineering or highly numerate science/equivalent
  • Some experience in SQL Server and MS Excel is required, plus at least one other SQL dialect (e.g. MS Access, Postgresql, Oracle PLSQL, MySQL)
  • Highly numerate with a good level of technical knowledge and experience of applying analytical and modelling techniques to provide insights to business issues
158

Data Analytics Resume Examples & Samples

  • Lead, design, develop, execute and deliver the optimal high quality analytical solutions for clinical trial data exploration to support successful strategic decision making for clinical development pipeline and better understanding of disease
  • Proactively maintain comprehensive knowledge of clinical data, biomarker data, analysis relevant operational data and quickly master the content, structure, meaning and usage of any other data source on the job as needed
  • Proactively Research and investigate different analytical methodologies with proper consultation with Biostatistician. Implement the defined analytical methodology. Propose and influence the selection of the analytical methodology as needed
  • Proactively Learn and implement the proper technology into the analytical solution in timely manner
  • In close collaboration of molecule project teams and any other relevant technical groups who maintain and prepare the data for analysis, deliver the concise interpretation and communication about insights of the analytical implementation with peers, partners and stakeholders
  • Understand and meet partners’ analytical needs and offer solutions. Build and maintain strong collaborative relationships and effective partnerships with project teams as well as other communities, working groups, initiatives and external stakeholders
  • Be able to discuss with customers outside of Biometrics using their language and be a credible partner with them leveraging the TA knowledge. Describe the pros and cons of potential solutions in a non-technical fashion understandable for the customers
  • Responsible for managing and deliver multiple parallel activities within TA and across TA projects. Coordinate and plan resource allocation with peers and Analytics managers on the assigned projects
  • Proactively keep up to date with industry trends and ensure analytical methodologies and related technology are current
  • Proactively raise ideas, rapidly develop fit to purpose prototypes, identify opportunities or gaps and promote knowledge sharings to enhance ways of working (including processes, methods, technology, project management, stakeholder management etc.) and drive the vision for promoting advanced analytical solution for better data exploration and insight generation in SPA and with other analytical groups
  • In collaboration with the SPA Infrastructure Business Alignment team and BSO, ensures new and innovative analytical tools, techniques and methods are implemented as appropriate to business need
159

Data Analytics Resume Examples & Samples

  • The group supports our largest clients with complex billing requirements with dedicated Financial Managers, supports our entire customer base for non-technical queries in our Customer Care centre for EMEA, supports online adoption and our overall smaller customer base
  • Basic understanding of Excel is absolutely essential, greater understanding including Pivots and V-Look up preferred
  • Basic understanding of PowerPoint, Outlook and Word
  • Fluent English, no other Language skills are required
160

Regional Service Owner Data & Analytics Big Data-lead Resume Examples & Samples

  • Increased speed of delivery on all ITAS services
  • Decreased unit cost of ITAS and IT End-to-End
  • Accountable for the overall delivery of support services in the region, ensuring that SAP BI/ BW service performance meets or exceeds established goals / SLAs, within budget and with a good customer satisfaction rating. Responsible for addressing issues and challenges pertaining to the service in the region, and expediting / resolving issues that may require partnership across the organization, managing service escalations. Oversee all ASO execution at the regional level. (30 %)
  • Build and manage a regional managed team (direct/matrix) that designs, operates, and continually improves theSAP BI/ BW data support in the region. Understand service demand in the region and manage prioritization and allocation of resources. (20 %)
  • Be the liaison with Business IT owner(s) for the respective services. Oversee the process of estimates and quotes with the regional PSSC (20 %)
  • Collaborate across Application Services to identify and communicate integration issues between services. Connect enabling teams such as the development centers, professional services support center, and other service-based teams, to ensure a positive overall support service delivery experience for customers. (10 %)
  • Shape the strategy for the support services both regionally and globally. In collaboration with the Global Service Owner, define regional policies, processes, and procedures while adhering to global standards including ITIL, SLDC, and Portfolio Management. (5 %)
  • Connect with the Global Service Owner to understand emerging trends and transform those insights into service improvements. Instigate and lead innovation and proof-of-concept initiatives to continually improve support service performance or address emerging / unmet customer needs. (5 %)
  • Collaborate with internal,external partners and customers to estimate and quantify the impact and business value of key initiatives. (5 %)
  • Keeps updated on latest ways of working in support areas ( devops, agile,..) and makes sure that he shares his knowledge with his team and global service owner. (5 %)
  • Partners with Financial Management, Demand Management, and external Technology partners to ensure deployment plans for new/enhanced services are transitioned successfully into operation
  • Manage knowledge transfer through proper channels and audience and makes sure that the knowledge is safeguarded
  • A 6+ year experience of related work experience required, with 3 years in a highly matrix large enterprise organizations preferred
  • Must have experience in managing vendors as well the ability to track their performance per contractual agreements
  • Experience developing and delivering IT services in large, global and complex enterprises required
  • Must have 3+ years of experience delivering support services for SAP BW/BI solutions
  • In-depth knowledge on SAP BW architecture, Star Schema, cube and multiprovider modelling, Tranformations and update rules, Generic Data sources, Bex queries, web templates is required
  • In-depth knowledge in ABAP for BW like creation of function module based extractors, ABAP classes is required
  • In-depth Knowledge on Integrated Planning, BPS SEM, is required
  • 2Y work experience with BWA is required
  • Knowledge on SAP HANA, SAP BO and BODS is desired
  • Broad understanding of front end tools like Lumira, Tableau, Qlik, Spotfire etc. is desirable
  • Broad understanding on big data and datalake concepts technology (Cloudera, Hadoop, AWS Redshift, Teradata) that allows RSO to align with other teams is helpful
  • Have an understanding of end to end supply chain and financial processes within a large organization is a must. Understanding of these process within JNJ will be a huge plus
  • Working knowledge in SAP R3 modules like MM, SD, PP, Inventory, FI CO and APO DP and SNP are desired
  • Understanding of Devops, Scrum, Agile software development concepts, Project Management
  • Knowledge of Service Now to track and prioritize incidents, problem management, change management and service requests is a plus
  • ITIL Certification : Lifecycle and Capability modules
  • Scrum Master Certification
  • PMX
161

Senior Data Analytics Leader Resume Examples & Samples

  • Thought leader and visionary to the future direction of data/predictive analysis for the functional domain that you will be aligned to
  • Develop analytic plans (including sampling plans and programming specs) by translating business requirements into technical designs for data analysis, dashboards, and metrics
  • Thrive with multiple imperfect, mixed, varied and inconsistent data sources
  • Work collaboratively with all levels of business stakeholders to design and implement Data based analytical solution from disparate sources
  • Broad knowledge of data warehouses, data marts, and business intelligence solutions and technology
  • Knowledge of Big Data and data lake implementations
  • Project management responsibilities, including client communication, team management, prioritization, scheduling, and presentation of deliverables
  • Evaluate and capture the productivity and profitability of analytics and data initiatives
  • Develop business case for proposed products and initiatives, including cost/benefit estimates, market trends, competitive analysis, risk analysis, industry best practices and product development timelines
  • Bachelor's Degree with 8+ years related work experience
  • Technical depth across business intelligence/data disciplines
  • Demonstrated ability to interpret analytic output and provide strategic recommendations
  • Working knowledge of Financial and ERP systems a plus
  • Demonstrated competency in strategic thinking & leadership with strong abilities in relationship management
  • Nimble, creative, and can-do approach to solving hard problems and overcoming obstacles
  • Comfortable working in a team-oriented, deadline driven environment
  • Project Management Professional Certification
  • Competent in project estimation, demand forecasting, and budget management
  • Demonstrated team leadership experience
  • Proficiency in Microsoft Office Suite (Word, PowerPoint, Excel)
162

Data Analytics & Insights Manager Resume Examples & Samples

  • You have 5+ years of experience of using analytics tools e.g. Tableau, Google Analytics, Double Click, Omniture
  • Experience with these platforms or similar: SiteCatalyst, AtScale, GridGain, Jethro for PoC's, BlueKai, Hadoop, Tableau, SQL and MySQL
  • Experience with Tracking codes, Java script metrics tags, Deduping data, Account data management, Basic web user journeys
  • Proven experience of building out action-oriented reporting and insights across digital channels
  • Have strong analytical skills and an ability to translate data into actionable insights for the business
  • Strong data visualization skills and experience enabling the storytelling of numbers
  • Clearly passionate about measuring what matters and driving results through data
  • An ability to develop and maintain strong working relationships with agencies and vendors whilst driving results
  • Experience of leading cross functionally - in a highly matrixed and entrepreneurial environment
  • Come with exceptional communication and organizational skills
  • Have the ability to manage multiple projects in a fast-paced, deadline-driven environment
  • A proven ability in building consensus and working effectively within a cross-departmental team
  • Achieved a Bachelors degree in digital media, business, communications, journalism, marketing, data science, or relevant/related field
163

Data Analytics & Visualization Engineer Developer Resume Examples & Samples

  • Under direct supervision, apply analytics technologies and tools for developing solutions
  • Leverage analytics tools like R and data visualization tools like Tableau to develop & present key insights
  • Conceptualize ways to present data through infographics, charts, graphs, maps, videos, and interactive visualizations
  • Provide assistance writing programs (R code, PL/SQL code, SQL queries, and other DML) based on specifications from higher-level staff or business analysts
  • Provide a clear representation of data using visualization techniques
  • Develop prototypes and proof of concepts for the selected solutions
  • Design and development of business systems software and web apps, ETL, BI and EAI components and interfaces
  • Collaborates with team members to resolve issues to assure the successful delivery of IT solutions
  • Understand business drivers and customer needs
  • Work closely with other teams to drive relevant projects onto their roadmap
  • Display strong communication and interpersonal ability across all levels coupled with effective problem solving, conceptual thinking, quantitative and analytical skills
  • 2+ years of experience in data visualization, data mining, and data analysis
  • 2+ years of experience with report development, maintenance, and support
  • 2+ years working experience with R and/or other statistical programing languages like PMML
  • Strong SQL skills including DDL and DML
  • Java scripting for advance Tableau report authoring is a plus
164

Analyst Advanced Data & Analytics Resume Examples & Samples

  • Work with the Advanced Data & Analytics Team to establish, document, distribute, defend and analyze all gas load and peak load forecasts and supporting analyses
  • Work collaboratively to perform advanced quantitative simulation studies to support decisions on the expansion of the gas distribution grid and the purchase and/or construction of gas pipelines and storage assets
  • Conduct strategic analysis of corporate plans relative to natural gas supply procurement and potential impacts associated with emerging technologies & legislation such energy efficiency, performing ad hoc gas usage, load and peak load studies and/or market simulations as requested
  • Prepare and write relevant documentation in order that all stakeholders are fully informed and all evidence or statistics are documented
  • Execute instructions and requests, plan and organize resources and make appropriate arrangements to ensure that work is carried out efficiently and in line with relevant policies and processes
  • Build upon technical/professional skills within own area of specialism or of other processes in order to continually grow your personal contribution to the business
  • Develop relationships with internal and external stakeholders in order to obtain and share information that will benefit National Grid
  • Monitor and review work undertaken by team in order to provide feedback on the appropriate use of materials, tools, equipment or resources and adherence to schedules
  • Masters or PhD degree in Engineering, Economics, Mathematics or Computer Science is preferred
  • Relevant natural gas industry experience in a regulated setting with direct interaction with regulators preferred
  • 3-5 years of statistical analysis, modeling and simulation experience, preferably dealing with large data sets
  • Expertise in the SQL database language and the ability to program in R and/or Matlab are absolute requirements and will be tested in the interview process
  • Knowledge of the natural gas industry preferred specifically of pipeline, storage and distribution system concepts as well as experience in the natural gas industry in New York and New England
  • Highly motivated and have the ability to work effectively both independently as well as part of a team
  • Excellent communication skills in order to coordinate their effort with other members of the team and to provide management with concise, well supported recommendations on important projects
  • Ability to interact with multiple levels of management, various departments within the company as well as external customers including regulators, market operators and other market participants is critical
  • Ability to see multiple relationships between different sources of data, identifying several likely causes or consequences of a situation
165

Data Analytics Resume Examples & Samples

  • Strong technical and analytical skills and comfort with statistics and portfolio theory
  • Familiarity with commercial credit products and capital markets
  • Ability to efficiently mine, navigate and interpret large financial datasets
  • Advanced Excel, SQL, Hadoop and Tableau expertise
  • Comfort in programming languages (SQL, R, SAS, etc.)
  • Familiarity with credit portfolio modeling/monte carlo simulationsSearch Jobs US
166

Digital Data & Analytics Director Resume Examples & Samples

  • Help to set data standards and architecture
  • This road is senior and highly visible and needs to motivate and lead teams
  • Create and lead a roadmap that advances our data & analytics capabilities while establishing a single view of consumer on DMP
  • Build integrated data platform for market users and help the business to paint a picture with data to guide decision making at all levels
  • Provide tools for markets to use for 'big data' insights (I. Marketing effectiveness tools II. Social insights to feed targeted messaging and buying decisions III. Real-time monitoring to adapt bidding strategies and feed into content development IV. Sales funnel analytics)
  • Support global markets with advanced analytics consulting on demand
  • Experience of working in a global FMCG or Retail company with many stakeholders
  • Track record of forming and managing analytics teams
  • Deep understanding of online marketing disciplines and how they contribute to driving business in FMCG
  • Breadth of experience across all marketing disciplines
  • Experience working alongside marketers, developers, users, stakeholders and consumers
167

Senior Specialist, Data Analytics Resume Examples & Samples

  • Identify,integrate and mine large data sets, connecting data from disparate sources to identify impact, insights, and patterns using traditional as well as predictive and prescriptive analytics
  • Source, scrub, and join relevant public, commercial, and proprietary data sources
  • Conduct statistical analysis, such as regression, time-series analysis, and classification models
  • With guidance, perform advanced statistical analysis, such as development of production-ready machine learning algorithms such as; neural networks, decision trees, random forests, as well as perform analysis of unstructured data (e.g., social media listening, digital footprints, text and speech analytics)
  • Summarize findings in written and verbal reports to key stakeholders, communicating with technical and non-technical team members
  • Apply knowledge of Prudential’s U.S. businesses and corporate groups and relevant industry knowledge to analysis and insights, with a focus on “what it means” and actions to consider
  • Advanced degree in Mathematics, Statistics, Engineering, Computer Science, or other quantitative discipline
  • A minimum of 5 years of relevant quantitative, analytical, or statistical work experience for example; in data analytics, market / customer research, engineering, actuarial, or consulting
  • Experience analyzing large data sets using statistical software, such as R, Python, or SAS, applying a variety of statistical techniques such as regression, machine learning, discriminant analysis, cluster analysis, and segmentation
  • Excel and PowerPoint a must
  • Programming experience in either C / C++ / C# / Java or Scala preferred
  • Prior academic and work experience requiring advanced statistical thinking
  • Exposure to big data structures and tools (e.g. Spark, Hadoop, and cloud services) and data visualization tools (e.g. Tableau, Qlikview, D3js)
  • Well-developed written and oral communication skills, with ability to present and explain data to business managers
168

Specialist, Data Analytics Resume Examples & Samples

  • Master’s degree in Mathematics, Statistics, Engineering, Computer Science, or a quantitative discipline plus a minimum of 2-3 years of work experience, or bachelor’s degree plus 5 years work experience
  • SQL Programming and experience of at least one DBMS such as IBM DB2, Oracle, SQL Server or Sybase are required
  • Java strongly desired
169

Specialist, Data Analytics Resume Examples & Samples

  • Integrate and mine large and small data sets, connecting data from disparate sources to identify insights and patterns
  • Apply knowledge of Human Resources programs and processes and relevant industry knowledge to analysis and insights
  • Manage project timelines, ensuring on time completion
  • Bachelor’s degree in Business or Mathematics plus a minimum of 3-5 years of work experience
  • Experience analyzing large data sets using statistical software, such as SAS, and SPSS, to discover new business insights
  • Advanced Excel and PowerPoint skills a must
  • Prior experience with building models, analyzing unstructured data and data visualization
  • Ability to learn fast and solve problems with patience and persistence
  • Human Resources experience a plus
170

Principal, Data Analytics Resume Examples & Samples

  • Chart out the data analytics strategy to maximize information value from structured and unstructured data sources
  • Create and lead a combination of quantitative and qualitative analysis to support the on-going market insights databases
  • Engage client stakeholders to understand business strategy and priorities and make a correlation to requirements for analytics
  • Apply state-of-the-art advanced analytic and quantitative tools, modeling techniques, and data mining procedures to derive business insights, solve complex business problems and improve decisions
  • Create value for clients by understanding their needs and translating them into the required and desired analytical services
  • Manage extensive collaboration with internal teams to identify the key opportunities required to support distribution decision making process
  • Manage all data analytics workstreams to ensure smooth and timely delivery
  • Oversee a team of data analysts, with direct reporting line
  • Bachelors or higher in Business Analytics, Engineering, Mathematics, Economics, Computer Science. Dual majors are preferred
  • Ideally candidates with 6 – 10 years’ experience
  • Proven track record in team management and client handling
  • Demonstrated experience applying excellent oral and written communication and interpersonal skills working with global and cross-functional teams
171

Associate, Data Analytics Resume Examples & Samples

  • Create and maintain Clearstate’s medtech market insights/ demand databases, providing data analysis and systems support to provide enhanced processes, reporting and analysis tools
  • Apply analytic and quantitative tools, modeling techniques, and data mining procedures to derive business insights, support business decisions for our client in the medtech space
  • Perform computational checking and editing of Excel spreadsheets
  • Trouble shoot, if required, on any issues arising with data-sets and processes
  • Work collaboratively and extensively with internal teams to review and verify that all data-sets are credible, logical and quality checked, and able to meet client’s expectations
  • Maintain and improve design of Clearstate’s active databases covering multiple product segments on an on-going basis
  • Create value for clients by understanding their needs and translating them into the required and desired analytical services and reporting format, include producing spreadsheet and graphics for presentations and reports
  • Bachelors or higher in Business Analytics, Engineering, Mathematics, Economics, Computer Science
  • Ideally candidates with 3 – 5 years’ work experience
  • Prior experience in healthcare, preferably in the medtech sector
  • Knowledge of languages/tools such as SQL, R, Python, Spotfire, Tableau, SPSS/SAS
172

Director of Data Analytics Resume Examples & Samples

  • Build a deep understanding of the business and the factors that influence its performance
  • Identify business optimization opportunities including incremental cost savings and revenue generation through data insights
  • Hire, manage and support a highly skilled team of analysts
  • Oversee the creation and management of predictive models to improve forecastability of the business
  • Automate the detection and identification of business deviations from forecasts
  • Oversee creation of statistical analyses to ensure reliability of recommendations presented to management and business stakeholders
  • Provide guidance on measurement and analytical methods to internal stakeholders
  • Build knowledge base of insights and setup process for proper internal dissemination
  • Establish short-term and long-term team objectives to align with overall business goals
  • Collaborate with data engineering team to define and build appropriate data sets to support complex analyses
  • Superior communication and presentation skills to confidently present and evangelize data insights
  • Strategic thinker with the ability to take a broad view approach to problem solving
  • Exceptional organization and discipline, with unparalleled project management capabilities
  • Unwavering personal integrity, credibility, and professionalism
173

Data & Analytics Co-op Resume Examples & Samples

  • Experience in building logistic and linear regression models and/or graph theory
  • Experience with SAS, R, Python, Matlab, or other statistical software
  • Experience with advanced machine learning techniques (neural network, random forest, SVM, etc) is an asset
  • Graduate level coursework or experience in sampling, hypotheses testing, dimension reduction, multivariate analysis, etc
  • Ability to clearly present statistical solutions to non-statistical people
  • A demonstrated knowledge in model comparison techniques to assess optimal methods for a given business need
174

Mgr Data Analytics Resume Examples & Samples

  • 5-7 years consulting, pharmaceutical or device industry experience required; management experience preferred
  • Broad technical knowledge of health economics and outcomes research
  • Proficiency in design and executive of economic modeling studies used in dossiers supporting formulary inclusion, and pricing of pharmaceuticals/medical devices
  • Knowledge of clinical epidemiology and outcomes to help design study proposals, protocols, reports and publications
  • Working knowledge of clinical services rendered in major therapeutic areas; ability to gain such knowledge as projects arise in specific clinical areas
  • Design and conduct of systematic literature reviews
  • Retrospective and prospective research experience
  • Large claims database management and analysis experience preferred
  • SAS, SPSS and/or STATA experience required
  • Descriptive and influential statistical techniques and analytical skills
  • Familiarity with the U.S medical device or pharmaceutical industry product development and commercialization process; comparable global knowledge a plus
  • Excellent writing, project management, communication and presentation skills
175

IT Data Analytics Resume Examples & Samples

  • Organize, sorts and filters data in order to distinguish patterns and recognize trends
  • Develops and maintains data preparation and validation routines to support data mining and has experience in creating complex data mining algorithms
  • Creates data warehouses/marts and/or develops data mining analyses to support business decisions
  • Reviews the work of others
  • Sought out as expert
  • Serves as a leader/ mentor
  • 3+ years of IT Data Analytics Experience
  • Experience in Deploy BI and ETL objects
  • Experience with physical data models/database objects
176

Data Analytics Graduate Intern Resume Examples & Samples

  • Working knowledge of standard and emerging technologies in Data & Analytics (SQL, Hadoop, Sqoop, Informatica, Tableau, Business Objects, R, Python)
  • Ability to to work on multiple tasks and assignments while maintaining attention to detail, and the ability to be flexible wiht changing demands
  • Familiarity with the Microsoft Office Suite
  • Has a strong working understanding of data analytics, statistical analysis and excel (knowledge or prior experience with machine learning a plus)
  • 0 GPA or above
177

Specialist, Data Analytics Resume Examples & Samples

  • Enhance the department’s data analytics capabilities
  • Perform advanced queries and analysis across multiple technologies, create and manage automated audit routines, and validate and share results of the analysis across the team
  • Identify data analytical routines that can be developed to meet similar objectives across multiple audit groups, to maximize return on investment
  • Provide insight and guidance on the interpretation of reported exceptions/analytics outputs so that appropriate actions can be taken by the audit teams
  • Continuously search for innovative ways to integrate and analyze data, and present it in a user-friendly format
  • Research various issues and trends to stay abreast of leading practices in continuous monitoring and data analytics emerging technology, business and market trends
  • A minimum of 3 years of experience in a data analysis role preferably within internal audit, a risk function, a control function and/or previous experience in analyzing business processes in a financial services environment
  • A Bachelor's Degree from an accredited college/university; an MBA is a plus
  • A dual major/minor combination of Computer Science or Management Information Systems and Business (e.g., Accounting, Business Administration, Economics, Finance, Analytics, Management, Statistics) is a plus
  • Experience working with large volume datasets, creating queries and scripts for data analytics and software applications such as ACL, IDEA, or SQL
  • Experience mining large data sets using statistical software, such as R, Python, or SAS, with exposure to predictive modeling
  • Experience with data visualization tools, preferably Tableau, QlikView, or SpotFire
  • Excellent project management and analytical skills with an ability to multi-task and manage competing priorities
  • Experience in one or more of these business areas: life insurance, annuities, retirement, asset management
178

Data Analytics Business Intelligence Lead Resume Examples & Samples

  • Participate in business analysis activities to gather required operational reporting, dashboard, and metrics requirements
  • Develop rich, easy to use, interactive, visually appealing graphics and data visualizations of "large" amounts of data
  • Work with Data Analytics Consultant(s) to analyze the business requirements and determine the data requirements for Operational reporting, Dashboards, and Metrics
  • Work with Data Analytics Consultant(s) to design the wireframes/mockups for dashboards and reports
  • Translate business requirements into specifications that will be used to implement the required reports and dashboards, created from potentially multiple data sources
  • Create technical Metadata and data mapping
  • Design, Develop, and Test the Operational Reports, Dashboards, and Metrics
  • Provide support as required to ensure the availability and performance of developed reports and dashboards for both external and internal users
  • Ensure proper configuration management and change controls are implemented for your sphere of influence
  • Provide technical assistance and cross training to other team members
  • Provide training and assistance to users for generation of adhoc reports
  • Design and implement technology best practices, guidelines and repeatable processes
  • Bachelors degree in business, management information systems, computer programming or related field
  • Experience in building Executive, Analytical and Operational dashboards and reports using Business Objects and Tableau
  • Extensive experience in developing SQL and Universes to support Dashboards from multiple sources
  • 7+ years of experience in designing, developing, and maintaining Business Objects Universes, reports, and dashboards
  • 5+ years of experience in developing dashboards and reports using Tableau
  • Strong experience in SQL and in data warehousing concepts and principles
  • 7 -10 years of experience working with Oracle databases
  • 2-3 years of experience working with Hadoop/HIVE/HBASE
  • Excellent oral and written communications skills, organizational and workload management, interpersonal and team building skills are required
  • Strong communication skills with the ability to explain technical data analysis results to business people and business processes, challenges and issues to technical people
  • Experience in data extraction, data manipulation, analysis and reporting required
  • Microsoft Office experience required
179

Data Analytics Resume Examples & Samples

  • Lead cross functional teams across sales, operations, analytics, and IT, to deliver complex strategic and tactical insights
  • Leverage technologies (SiteCatalyst, ReportBuilder, Ad Hoc Analysis, Teradata, Teradata Aster, R Programming, Hadoop) to influence business requirements and action taken by several areas of the organization
  • Work hand in hand with the IT Data Analytics organization to deliver data structure needs and productionalized views of data
  • Leverage knowledge of database schema to work with IT to deliver Adobe Analytics data into our Data Warehouse
  • Lead analysis around forecasting traffic and sales to assist in business operations management, tracking performance to budgets, and delivering sales and financial analysis around results
  • Research industry and technologies for best in practice tools, analyze return on investment, and present findings to management for approvals
  • Primary point of contact for performance analytics for self service, sales, go-to-market, and experience teams
  • 3+ years of relevant experience in digital reporting, metrics & analytics, with at least 2 - 3 of those years at a company with a company having a large e-commerce site with a merchandising analytics component
  • 2 + years of experience managing analytics teams and/or projects of 2 - 5 people
  • Strong interpersonal and project management skills
  • Advanced proficiency with Access/Excel/Word/PowerPoint
  • Must be able to plan and manage numerous processes and ad hoc projects simultaneously
180

Data Analytics Professional Resume Examples & Samples

  • Use analytical software to access, transform, integrate, analyse and visualise client data
  • Deliver results by using data analytics to deal with large, disparate volumes of data, to gain critical insights quickly
  • Help enhance the ability of our clients to use and interpret data, as well as providing input into strategic initiatives and programs
  • Stimulate innovative thinking to analysis and client service delivery
  • Drive high-quality work products within expected timeframes and on budget
  • A degree in Accounting, Mathematics, Computer Science, Actuarial Studies, Engineering or a related discipline
  • Post graduate qualification in data analytics or similar data discipline
  • A high level of enthusiasm for working with large data sets and learning new methodologies, applications and skills for analysis, ideally with experience in data analytics
  • A demonstrated ability to clearly & concisely present data, conclusions, and recommendations such that they bring insight and improve clients' decision making processes
  • Sharp analytical abilities and proven design skills, with an enquiring mind willing to learn new skill sets
181

Data Analytics Engineering Intern Resume Examples & Samples

  • Pursuing a degree in Computer Science and related fields
  • Knowledge of database management
  • Technical skills: Intranet content and Sharepoint, spreadsheets (Excel), Querying Language (e.g. HTSQL, SQL,LDAP, XQuery), a scripting Language (e.g. AppleScript, VBScript, JavaScript, Perl, Python, Matlab), experience working with jQuery, JavaScript, HTML, or CSS3
  • Demonstrate critical thinking skills through analysis of data and documentation
  • Proficient in Microsoft Word, Access, Outlook
  • Experience with Qlik or other Business Intelligence / Data Visualization software a plus
  • Experience documenting business processes through process mapping preferred, but not required
  • Experience reviewing contracts and business documentation preferred, but not required
182

Global Data Analytics & Insights Lead Resume Examples & Samples

  • Develop insight capability strategy for Global T&E
  • Partner with IT to develop analytic and visualization tools enabling leadership to make better decisions
  • Develop and document business requirements for projects
  • Develop appropriate controls to monitor the effectiveness of T&E processes and policies
  • Create visual representation of solutions (prototypes) to assist with leadership communication and requirements
  • Develop and facilitate visualization tool training
  • Work with multiple stakeholders to ensure requirements are clearly/timely communicated and understood by all
  • Liaise with global stakeholders on an ongoing basis including facilitating meetings with staff from all levels
  • Build, develop, and grow business relationships vital to the success of the overall T&E program
  • Participate in discussions with third party vendors
  • Ensure appropriate documentation is completed and retained
  • Strong verbal, written communication and presentation skills
  • Strong interpersonal skills and demonstrated ability to build partnerships, work effectively on teams, interact with employees of all levels, and interact with other stakeholders
  • Strong strategic and critical thinking skills
  • Highly skilled in managing multiple projects (multi-tasking), and working effectively under pressure
  • Demonstrated problem solving and analytical abilities where problems are complex
  • Flexibility to support a global working schedule
  • Must have strong time management skills / ability to work within restricted time constraints
  • Able to quickly learn and understand business drivers of different countries, regions, and organizations
  • Education / Qualifications
  • Bachelor degree in information systems, business, finance, or related discipline (required)
  • 7 years in data analytic, business insights reporting, FP&A, process improvement or related roles with increasing levels of responsibility (required)
  • Prior project / program management experience (preferred)
  • Ability to occasionally travel internationally (required)
  • Understanding of corporate card, travel and expense reporting processes (preferred)
  • Understanding of Tableau (preferred)
  • Understanding of SQL (preferred)
  • Proficient in Enterprise Data Management (SAP) (preferred)
183

R&D & Data Analytics Internship Resume Examples & Samples

  • Work closely with crop teams and subject matter experts to ensure that projects address their questions and improve decision making processes for the business
  • Design and develop analyses to test hypotheses related to key breeding questions
  • Develop and implement rules and processes for data curation based on internal standards
  • Identify, modify and adapt analytical approaches as required
  • Identify and collect the data to support these analyses
  • Identify novel ways to unify divergent sources into an easy-to-use database
  • Distill their analyses into clear messages that are presented in a way that is understood by various audiences
  • Ensure accurate and effective use of data and analyses to address the key questions facing the business as outlined in the project
184

VP Data Analytics Resume Examples & Samples

  • Directs the development and implementation of strategic and operational objectives for data analytics and modeling, in accordance with the company's strategic plans
  • Selects and deploys data software to support analytics and business intelligence efforts across the organization
  • Builds strong data analytics and software evaluation team (approximately 15 people) to ensure CNA develops analytics capabilities that provide competitive advantage vis-à-vis our peers
  • Maintains current technologies and data structures while new capabilities are implemented
  • Collaborates with IT to develop sophisticated data storage capabilities for structured and unstructured data utilizing Big Data applications and methods – including ensuring easy connectivity of various data sources
  • Collaborates with business partners in Claim, Underwriting, Finance and other internal departments to ensure the collection and easy access of data needed to support analytics efforts in each area
  • Evaluates and implements software to enable data scientists to work with un-transformed data and business intelligence professionals to efficiently access and use the transformed data
  • Leads, directs and has full management responsibility for staff with an emphasis on talent management and succession planning in accordance with corporate strategic direction
  • Fosters innovation and empowers team to take calculated risks and continuously improve skills, efficiency and quality of work
  • Creates a culture of ownership and accountability to drive continuous improvement
  • Acts as a liaison to executive management on critical data analytics issues
  • Identifies and responds to emerging issues in the insurance, technology, regulatory and legal climates that impact CNA’s data analytics efforts
  • Remains current on state/territory issues and regulations, industry activity and trends. May represent the company in industry trade groups
  • Senior level technical knowledge of data and data applications, including data modeling and advanced working knowledge in other related fields such as analytics
  • Advanced communication and influencing skills that are critical to building consensus across area of influence (external and/or internal relationships), team and/or matrix environment
  • Strong leadership and management skills demonstrating integrity and professionalism
  • Ability to drive results by identifying and resolving significant problems within scope of responsibility
  • Knowledge of data visualization and other business-related software
  • Senior level knowledge of the financial services industry, its products and services
  • Bachelor’s degree with Master’s preferred in Information Technology, Analytics, Statistics, Mathematics, or equivalent
  • Typically a minimum of 12 years of related experience in designing, developing, deploying and maintaining data and/or predictive models in a business setting or equivalent experience with seven years of management experience
  • Applicable certifications preferred
185

Intern, Data Analytics Resume Examples & Samples

  • Perform data analysis and assist in data reporting as needed
  • Experience with Tableau, R, Python are highly desired
  • Motivated self-starter; Excellent verbal and written communication skills; Attention to detail; Excellent analytical skills; Creative and resourceful; Strong business aptitude; Knowledge of the PBM or healthcare industry preferred; Dates of Internship are May 15th-Aug 4rd, 2017; Students must be available to work M-F 8am-5pm during this time frame
186

IT Lead-data & Analytics BA Resume Examples & Samples

  • This role is part of the MD EMEA D&A BUIT organization, within the regional D&A team, supporting the entire One Medical Device organization
  • The primary focus of the role is BI for the Commercial organization
  • Close partnership & collaboration both with business and IT teams is critical for this role
  • Data & Analytics is an area of critical strategic importance, with high demand for projects to provide visibility and drive insights that directly contribute to business effectiveness and growth
  • Project scope will vary by project – e.g. from regional projects to implement new capabilities to country / cluster rollouts
  • Lead, engage, and motivate project teams, including team members spanning multiple business and IT organizations (multiple business functions, IT Risk Assurance, Regional Architecture, and application / infrastructure service delivery teams / CoEs)
  • Close collaboration with business partners to analyse current-state and design future-state processes, carry out gap assessments between legacy and standard/regional capabilities, and to define business requirements for new capabilities
  • Responsible for ensuring all aspects of project delivery are taken into account – technical solution, business process, project & solution documentation, compliance, change management, end-user adoption
  • Manage project scope, project planning, budget, and resourcing, escalating risks, issues and constraints appropriately
  • Ensure compliance requirements are properly assessed & met, based on the regulatory relevance of the processes in scope
  • Partner with the business to ensure Change Management aspects of the project are managed in a structured way (communication, Key User framework, training, adoption)
  • Ensure the end-solution is fully documented prior to go-live and handed over to support in line with governance processes (including project delivery and platform/solution documentation)
  • Work closely with the relevant IT delivery teams to review and challenge the solution designs, optimizing the trade-off between process & technical effectiveness and business benefits / cost to deliver
  • Prepare business cases for new projects together with the business, including cost & benefits estimates
  • Contribute to the shaping of the project delivery processes within the MD EMEA D&A team
  • Relevant IT degree
  • Working experience in a multi-national company in an IT capacity
  • Proven track record of leading IT projects with a regional or global scope
  • Proven track record of working effectively within local, virtual, multi-cultural, and regional/global teams
  • Experience working with project management methodologies for best practice project delivery & software development
  • Experience with Agile/Scrum methodology
  • Experience with Business Analysts approaches and techniques
  • Understanding of key business processes within the Commercial functions
  • Knowledge and understanding of working with regional standard platforms, including ERP solutions
  • IT background with an understanding of the business environment or business background with an understanding of IT
  • Excellent verbal and written English skills
  • Experience of business analytics and associated BI tools (including IBM Cognos, Tableau, and Qlik tools) and ETL processes
  • Knowledge of other relevant technologies: SAP Business Objects, MicroStrategy, Spotfire, RoamBI , SAP ERP, JD Edwards
  • Exposure to IT in a regulated environment, familiarity with IT compliance (in particular SOX, GxP, Privacy)
  • PMI or other project management certification (e.g. FPX)
  • Experience applying both Agile and traditional Waterfall software development methodologies
  • Data modelling & analytics experience
  • ITIL certified
187

Data & Analytics Technologies Resume Examples & Samples

  • Oracle Product Hub: Designing taxonomies, item extended attributes, item catalog categories, security/access models, managing engineering change requests, new item requests, workflow, import workbench, integration with Product Lifecycle Management systems and planning for data migration
  • Oracle Customer Hub: Depth with Trading Community architecture (TCA), Customer hub publication and consolidation capabilities, data stewardship, data model harmonization, de-duplication, alignment with Order Management and Accounts Receivable customer design, configuring Data Quality Management for TCA
  • Oracle Supplier Hub: Depth with Trading Community architecture, Supplier hub publication and consolidation capabilities, Supplier Lifecycle Management, import workbench, configuring Data Quality Management for TCA
  • Interactions with Oracle Enterprise Data Quality or Information Data Quality
  • Business events know-how related to Oracle MDM
  • Project experience with Fusion Product Hub
188

AVP, Data & Analytics Infrastructure Resume Examples & Samples

  • Collaborates with IT & other key stakeholders to evaluate current state of data and develop tactical plans to improve data management and resolve technical challenges impeding data availability, quality and credibility
  • Performs evaluation of different tools and database technology and makes recommendations to the IT and business partners
  • Works with Business stakeholders to understand data and infrastructure needs to then build and deliver tools and data assets for Consumer and Marketing Analytics
  • Carves out a strategic agenda for key customer-facing initiatives in the buying experience and service experience domains. Enables customer research and insights to acquire new customers and better meet the needs of existing customers
  • Works closely with the Analytics team to enable strategies & programs that leverage metrics & predictive analytics to support business objectives like profitability & persistency
  • Provides strategic consulting to senior management & key business stakeholders on acquisition approaches & opportunities based on quality business analytics, tools, and market information
  • Provides subject matter expertise and thought leadership on analysis and use of tools & metrics to significantly affect the strategic direction of the business
  • Partners with IT to help develop & implement a business analytic framework for data quality and governance
  • Guides the development of applications, systems, technical and product standards based on long range plans and vision. In coordination with the Architecture group, researches and makes recommendations relative to new technologies
  • Delivers artifacts, technical alternative documents and architectural design that meet business requirements; oversees design reviews and frameworks
  • Develops and implements strategic process improvements to enable simplified, effective, standardized analytical processes
  • Advises senior management and key stakeholders on design issues, capabilities, and/or system limitations; develops and recommends remediation plans
  • 10+ Years’ experience in designing, developing and operationalizing data and analytics infrastructure strategy within the Financial Services industry,
  • Strong knowledge of databases and related concepts and working knowledge in overseeing the delivery and build of large scale databases and enterprise data assets
  • Strong technical knowledge and working exposure to a wide array of technology and data stacks in both traditional and big data space e.g. Oracle, Greenplum, Netezza, Hadoop etc
  • Experience working with IT Architects supporting the design & implementation of large scale data bases and decision infrastructure
  • Experience evaluating, designing and end to end setting up of BI and Analytics tools/platforms on an enterprise scale
  • In-depth knowledge of IT concepts, strategies and methodologies
  • In-depth knowledge of diverse and emerging technologies and new architectural concepts and principles
  • Knowledge and hands on experience on analytic tools (SAS/SPSS/R) and visualization/BI tools (Tableau/Qlik/Datameer,others) with a deep understanding of the use cases associated with the insurance industry
  • Worked with the analytics teams on creating a roadmap to define and deliver metrics & insights to develop and optimize business strategies) in marketing analytics, Customer Experience/ Customer Insights and/or customer strategy or a related field
  • Proven experience and understanding of how to develop and deliver data assets and infrastructure
189

IT Lead Service Specialist, Data & Analytics Resume Examples & Samples

  • Ability to design and manage database and storage solutions in Amazon ecosystem
  • Ability to deliver data warehousing, big data and master data management solutions
  • Prepare and deliver regular updates and communications (verbal and written) to the business and IT Leadership teams, and extended business partners
  • Understand and define business drivers, requirements definition, design gap analysis, prototyping, execution and deployment activities
  • Ability to handle multiple priorities and projects simultaneously
  • Ability to work independently and provide guidance to junior team members
  • Lead projects of medium to high complexity, and act as liaison between the various IT organizations to ensure successful delivery of initiatives to the business partners
  • Ensure Service Level Agreements are established and meet expectations of the business partners
  • Actively participate as core team member for key business/IT initiatives
  • Participate in the business planning activities by identifying future business demand and ensuring appropriate funding is in the business plan
  • Provide coaching/guidance to peers, junior team members, co-ops and/or consultants
  • Consistently demonstrate knowledge seeking and sharing behaviors across IT organizational boundaries in the performance of daily work and encourage junior associates to do the same
  • Apply principles, concepts, and practices of the J&J Leadership Imperatives
  • Ensure that J&J information assets are appropriately identified and valued, and are protected by complying with and enforcing all local and worldwide security policies
  • Ensure that security is considered and emphasized in all IT plans and actions
  • A Bachelor’s degree in the field of computer science, IT, business administration, or another rigorous discipline is required
  • A minimum of 5 years of experience delivering complex projects, preferably in BI, data & analytics, data warehousing domain
  • Experience with Amazon Web Services ecosystem, specifically Redshift, RD and S3
  • Understanding of differences between RDBMS and Columnar databases is preferred
  • Agile experience and exposure is required
  • Supporting reporting tools like Tableau, Spotfire or Qlik is a strong plus
  • Experience with ETL tools like Talend, Informatica is a strong plus
  • A demonstrated working knowledge of core application development principles and J&J SDLC methodology is preferred
  • Demonstrated ability to lead a team and manage work in accordance with full system lifecycle (SDLC) from concept to production deployment is preferred
  • Experience implementing global process/systems is preferred.Info Technology
190

Ars-data Analytics Resume Examples & Samples

  • Overall, a highly driven, results-oriented, creative and nimble problem solver with a willingness to do ‘whatever it takes’ to optimize provider network to deliver business impact quickly. Ability to prioritize and set direction in a fast moving environment
  • Servers as a subject matter expert for provider network domain and with excellent written and verbal communication skills and an ability to translate complex data into actionable insights. Must have the ability to effectively communicate across all levels in the organization in a motivating, influencing manner
  • Leads and directs efforts to use a variety of tools and/or programming languages to build highly complex reporting, data visualization and/or analytical self service tools in order to share data and output of analytical and/or model efforts; researches best practices with other ARS and related industries
  • Develop strong relationships with internal partners and deliver against objectives. Develop relationships where viewed as “trusted advisor” who helps guide organization in making better decisions
  • Lead analytics projects and oversee data ingestion, validation, mining, and engineering work streams, as well as modeling, visualization, and communication deliverables with teams comprising data science, big data, and visualization experts
  • Recruit, build and maintain a strong, diverse, talent team of people to meet ever shifting business needs and alignment of talent to strategic business objectives
  • Seek out opportunities to improve operational efficiencies and drive results of process improvement initiatives. Perform analysis and report on the analysis to clients in a highly visual / easily digestible way
  • Prepares and presents data, conclusions, and recommendations to senior management, internal customers, and key outside clientele
  • Leads and facilitates training efforts of business units on the use of reporting, data visualization and/or self service tools and answers questions about functionality of the same
  • Attends and may present at conferences and events to gain better industry, software, and vendor knowledge while networking and sharing ideas with others along with benchmarking our strategies to competitors
  • 10+ years hands-on experience in data, analytics, predictive models, visualization and reporting
  • Master’s or PhD preferred in a quantitative field such as statistics, mathematics, computer science, finance, or economics. Proven experience in using statistical modeling and/or machine learning techniques to build models that have driven company decision making
  • Demonstrable experience and skills in collecting, planning, analyzing and interpreting a diversity of data structures using statistical methods as well as unconventional ‘strategy’ methods. I.e. Personas, Mapping of insights etc
  • A proficient understanding of the modern characteristics of Data Science and how they can be utilized in scalable ways for agency teams and client partners alike
  • Requires excellent written and verbal communication skills with an ability to translate complex data into actionable insights. Must have the ability to effectively communicate across all levels in the organization in a motivating, influencing manner
  • Extensive experience leading teams and cross-functional projects. Proven ability to manage teams overseeing machine learning/predictive modeling and optimization in statistical software
  • Experience with applying high quality data visualization techniques “to tell the story” or “Interrogate” data, leveraging data to inform decision making, risk mining, and structured and unstructured text mining methods and techniques in the interest of reducing risk
  • Experience with developing and mentoring staff at all levels and building an internal capacity to deliver high quality and highly innovative analytics services
  • Experience with developing and implementing successful Proof of Concept, Time to Market, project dependencies, and intellectual capital creation
  • Proven knowledge of analytic techniques, ability to quickly learn and understand strengths and limitations of new algorithms
  • Proven communication and influence skills taking varying audiences into consideration
  • Deep predictive analytics abilities and proficiency using statistical tools such as R, Python, Spark, and SQL
  • Strong experience in the development of open source big data components like: Hadoop, Flume, Hive, Spark, Sqoop, Pig, HBase
  • Solid experience in SQL, data warehousing and developing dashboards using Tableau
191

Data Analytics Team Lead Resume Examples & Samples

  • Assists in managing the Business Intelligence Team with Human Resource tasks including, hiring, performance evaluation, recognition, and disciplinary actions
  • Plan, organize, and prioritize workload for the team
  • Assists in Project/Program management for Business Intelligence/Population Health projects/requirements
  • Assist in maintaining a positive and collaborative environment
  • Provide statics on team’s performance and communicates regularly to Manager
  • Maintains relationships with clients
  • Flexibility to think strategically in providing solutions to client’s complex business intelligence needs
  • Ensures team’s proper utilization and availability of resources
  • Provides effective situation management and escalation
  • Works in accordance with corporate and organizational policies and procedures
  • Background in healthcare, data analytics, information systems, and business preferred
  • Strong Project Management skills and experience
  • Ability to manage multiple responsibilities simultaneously
  • Ability to work overtime and irregular hours when needed
  • Basic computer skills, including Microsoft Office suite and Project
192

Applied Data Analytics Resume Examples & Samples

  • The candidate will work within A&M Client teams using innovative data analytical, interrogation & visualisation techniques
  • Extract and analyze financial transactional data (e.g. loans, assets, trades, etc) to perform data quality assessment and perform loan exposure stress testing
  • Analyze sales, marketing and financial business data across industries to identify opportunities for cost reduction and sales maximization
  • Interrogation of AR/AP/inventory data to drive cost savings and inform business decisions
  • Extract and interrogate sales and accounting data to perform compliance reviews and identify evidences of fraud, corruption and other anomalies
  • Perform anti-money laundering investigations and compliance reviews
  • Develop business intelligence / KPI dashboards for management reporting
  • Big data and predictive analytics
  • Strong academic track record including a degree from a leading university
  • Experience with statistical and coding languages & tools including R, Python, Java, SQL, and Tableau
  • Well developed client and presentation skills combined with a practical approach to problem solving
  • Please apply with a full and detailed CV
193

Phd-semantic Technologies for Industrial Data Analytics Solutions Resume Examples & Samples

  • Cooperation and conceptual design of technical solutions in industrial research projects
  • The goal of the Phd thesis is to investigate how semantic technologies can be used to improve industrial data analytics solutions
  • Development of methods for the semi-automated development as well as usage of knowledge models
  • Contribution to deliverables and scientific publication as well as development of demonstrators
  • University degree in Computer Science, Mathematics, Information Technology or similar studies
  • Skills in the fields of Semantic Web and Big Data Technologies are beneficial
  • Experience with application development (knowing Java is an advantage)
  • Writing skills in English
  • Communication and teamwork skills, high level of initiative, analytical and learning skills
194

Manager of Data Analytics Resume Examples & Samples

  • Responsible for the timely delivery of all assigned production reports by meeting the agreed upon threshold for timely measurement
  • Responsible for the coordination of efforts between their groups and service center departments on medium sized initiatives. Will ensure that Data Analytics is properly represented
  • Gathers, organizes and analyzes data in support of a variety of projects and operational processes, including conducting longitudinal analyses
  • Compile reports, charts and tables based on fundamental statistical methods
  • Draws practical conclusions from the data. Prepares written and/or oral presentations of results
  • Responsible for the personnel development and training of assigned analysts
  • Assist the Director of Data Analytics as needed in development of the department
195

Senior RM Data Analytics Resume Examples & Samples

  • Manage campaign analytics across RM campaigns, across all Freemium offerings in the Office portfolio Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques
  • Provide thought leadership in campaign measurement, data collection & telemetry and test and learn methodologies and build a center of expertize in campaign analytics
  • Build marketing key performance indicators for Freemium campaigns to determine program effectiveness and drive future investments
  • Manage a team of Analyst vendors
  • Develop tests and experimentation frameworks to turn data insights into business outcomes
  • 4+ years hand on analytics experience with proven quantitative orientation and/or BS/BA in Statistics, Economics or Mathematics is preferred
  • Deep understanding of marketing and Relationship Management
  • Exceptional problem solving, technical and data analysis skills
  • Deep knowledge of and experience with A/B Testing, Multivariate Testing, and related techniques Knowledge of
  • Tagging methodologies and tracking
  • Manipulate large volumes of data, create new and improved techniques and/or solutions for data collection, management, and usage
  • Advanced Modeling and Excel skills and proficiency in SQL
  • High attention to detail, action oriented, ability to work within stringent deadlines
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner Attention to detail and data accuracy
  • Strong strategic thinking complemented with a bias for action. A successful candidate needs to be able to develop a strategy and execution plan that drives results
  • Ability to succeed in a matrix environment and influence adoption of new thinking
  • Excellent verbal, written and presentational skills with a focus on tangible, measurable recommendations
  • Prior experience in subscription services, telecom, financial services desired
196

Risk Data & Analytics Resume Examples & Samples

  • Hands on technical lead who can turn requirements into a detailed design, building consensus within the team and delivering to committed timescales
  • Management responsibilities within the team
  • Build and deploy applications on Linux platforms
  • Ensure Citi Markets and Security Services Technology Development Standards are being met
  • Excellent OOD development skills in Java
  • Experience of Python
  • Experience in TeamCity automated build tools
  • Experience with SonarCube
  • Experience of Equity Derivative products
  • Experience of working in a Front Office environment
197

VP-data Analytics Resume Examples & Samples

  • 6+ years experience in Line of Business data or the equivalent
  • Practical experience using SAS on a Unix platform
  • Experience in Model Data Management incorporating model data sets, implementation, or model validation
  • Knowledge of both theoretical and practical aspects of model data management
  • Knowledge of modeling data management tools with a preference towards FICO Model Suite of tools, Informatica, or Ab Initio
  • Direct work experience with model data in a Line of Business or CCB capacity supporting the development of models, implementation, and ongoing model performance assessment
  • Proven experience in people management & Strategic planning
  • Proven experience in risk management and change management projects
  • Preferable experience in banking or financial services
  • College Degree in Management, Statistics, Computer Science, Finance, Engineering, or Math is required, advanced degree or equivalent work experience preferable
198

Contact Center Data Analytics Resume Examples & Samples

  • A Bachelor's degree or 4 or more years of equivalent experience
  • Demonstrated proficiency in the following technical areas: SQL, Java, JMS, JMX, XML, HTML, Cognos, Genesys InfoMart, Linux KSH, Tibco, Oracle, SQL Server and data warehouse architecture techniques such as EDW, ODS, DM, ROLAP and MOLAP
  • Demonstrate experience using ITIL processes and knowledge of contact center operations
  • Demonstrate proficiency in analyzing, troubleshooting and solving complex technical problems
199

Data Analytics App Developer, Tqpe Resume Examples & Samples

  • Participate in Agile development processes and focus on automated testing to
  • Pursuing a Bachelor’s degree in Computer science, entering their senior year of study with a GPA of 3.0 or greater
  • Deep programming experience in at least two programming languages between Java, C, C++, Go, Python
  • Familiarity with Open Source technologies
  • Familiarity with database concepts, including logical data modeling
  • Experience with advanced analytic concepts including use of SQL
  • Understanding of a source control system such as GitHub
  • Ability to review detailed design specification and define appropriate strategies for certifying complex software systems
  • Strong interpersonal and communications skills and ability to collaborate and work in a team environment
200

Data Analytics Resume Examples & Samples

  • Develop an understanding of BHI processes, risks, and opportunities for data analytics and continuous controls auditing through research and interviews with subject matter expert employees
  • Design and implement a CCA program using analytic technology, including establishing data connection/extract, analysis, and reporting mechanisms, including risk and performance based analytics, dashboards, scorecards, reports, etc
  • Plan and execute the CCA program, as well as oversee assigned audit staff
  • Regularly evaluate the CCA program for effectiveness and refine as necessary
  • Consider additional areas for CCA program expansion and maturity
  • Evaluate opportunities to extend continuous controls monitoring into the business
  • Participate in / oversee various data driven audit projects and investigations, such as vendor audits, as assigned
  • Integrate enhanced data analysis into Internal Audit methodology and processes
  • Communicate the results of the CCA program and other assigned projects via timely and informative draft reports and oral presentations to all levels of management
  • Develop sound recommendations for improvements to controls and business processes
  • Document work performed to support conclusions and recommendations
  • Design and oversee IA department audit results summarization and reporting through dashboards, KPIs, etc
  • Work with Audit Director and VP to incorporate data into attractive and informative presentations and reports for executive leadership and the Audit/Ethics Committee
  • Evaluate data analytic skills and competencies within the Internal Audit department and design and deliver periodic trainings to staff
  • Bachelor's or Master’s Degree in Accounting or Finance or other technical field such as Engineering, Mathematics, Computer Science, etc
  • 8+ years of experience in internal or external auditing, and/or relevant experience. Must include experience using data analytics-enabled auditing and/or working in a continuous controls auditing or monitoring environment
  • Proficiency using data analysis software such as ACL, Idea, Tableau, etc
  • CPA, CIA, or CISA certification required
  • Advanced PC skills, including Word and Excel
  • Intellectual curiosity and a commitment to personal development
  • Comfort in dealing with ambiguity
  • Self-motivated with the ability to work independently
  • Strong technical, analytical, and decision making skills; ability to analyze, interpret, and summarize information
  • Professional assertiveness and strong interpersonal skills with ability to interact with all levels of management
  • Commitment to the BHI Core Values – Integrity, Teamwork, Leadership, Performance and Courage
  • Experience with SAP a plus
201

Manager, Modelling & Data Analytics Resume Examples & Samples

  • Manages the modelling and analysis of jurisdiction financial performance and business initiatives
  • Assists with the assessment of jurisdiction performance and provides risk analysis through modelling
  • Partners closely with jurisdiction business partners to create scenarios to drive profitability in the business
  • Presents analysis and modelling to the NY Jurisdiction Finance leadership and provide recommendations on performance driver through the use of current trends and historical data
  • Partners closely with Corporate Finance to provide jurisdiction data analysis of performance to support the success of jurisdiction expansion
  • Utilizes knowledge of U.S. GAAP, SOX and SEC requirements in analysis and scenarios
  • Supports jurisdiction finance through the effective use of credible data analysis and modelling to drive performance and jurisdiction growth
  • Provides counsel to employees, manages third party consultants and contractors, and advises senior leaders as necessary
  • Builds and manages results-driven teams by taking a strategic and technical view of performance management by involving employees in planning, relationship building, decision-making, forecasting, and analysis processes
  • Ensures proper support to meet business requirements of financial and non-financial controls
  • SAP or other modelling and analytics software
  • Financial modelling, planning and analysis
  • Regulatory and business unit finance
  • Short and long-term business unit modelling
  • Analysis development
  • Accurate business and analytical insights
  • U.S. GAAP, SOX and SEC requirements
  • Analysis of business performance
  • Bachelor’s Degree, Master’s Degree preferred 7 years in finance and/or business development roles with increasing responsibility
  • Demonstrated ability to drive performance, data and financial analysis
  • Ability to apply business initiatives to modelling and analysis scenarios
  • Background in utility service business activities and projects
  • Proven experience to assess financial risk
  • Effective collaboration and partnership capabilities
  • Ability to manage competing priorities and meet deadlines
  • Ability to lead teams of Finance project management professionals
202

Associate Data Analytics Resume Examples & Samples

  • Support regulatory capital model development efforts
  • Provide capital analytical support to LOBs
  • Efficiently design and produce programs to streamline and create repeatable procedures for data extraction, processing, cleansing, auditing, and reporting
  • Proactively communicate and collaborate with line of business partners and model end-users to analyse and meet data needs
  • Background in SAS skills, especially in modules such as SAS/Base, SAS/STAT, SAS/Macro, data mining and simulation because SAS is heavily employed in creating data sets, ad hoc analyses and modelling
  • 4+ years SAS programming experience. SAS Certification preferred
  • Experience with object-oriented programming (C++, Java)
  • Experience with big-data, python, etc. a plus
  • 4+ years’ experience utilizing SQL in a relational database environment such as DB2, Oracle, or Teradata
  • 4+ years in the financial services industry; experience in Regulatory Capital, Federal Reserve Comprehensive Capital Analysis and Review (CCAR) a plus
  • A Master’s Degree in a technical or quantitative field such as Computer Science, Engineering, Information Technology, Statistics, Business, Finance, or Mathematics
  • Experience in developing, implementing and testing loan-level loss forecasting models and credit risk models within financial institutions
  • Must possess the ability to deliver high-quality results under tight deadlines and be comfortable with the manipulation and summarization of large quantities of data
  • Proficiency in MS Office product suite (Excel, Word, Access, and PowerPoint) required
  • Must be able to make contributions to the group’s knowledge base by proposing new and creative ways for approaching problems and projects
203

Senior Associate, Data Analytics Resume Examples & Samples

  • Assist with data acquisition, assess data quality, test data accuracy and reasonableness, identify relationships in disparate data and resolve discrepancies
  • Perform analyses on large volumes of data, prepare models and calculations, as required
  • Three years of experience with accounting, data analysis, business processes and related datasets, and database packages such as SQL Server, Oracle, SAS, Microsoft Access, or other
  • Bachelor’s degree from an accredited college/university or equivalent work experience in Accounting/Finance, Applied Mathematics/Economics, Management Information Systems, or related curriculum
  • Strong analytical, research, statistical sampling, and quantitative abilities
204

Data Analytics & Visualization Resume Examples & Samples

  • Manipulate and analyse large volumes of data, combining both customer and consumer data via data visualization platforms
  • Build workbooks and platforms to simplify and expedite the way data is analysed by the organization
  • Create harmony across category teams and reduce complexity of reporting
  • Work to enhance team’s current skill level on current platforms
  • Continually seek new or improved software and capabilities
  • Deliver actionable insights to help decision making
  • Identify, analyse, and interpret trend in complex data sets
  • Work closely with teams to identify and prioritize business and information needs
  • Develop and implement data collection systems and other strategies that optimize efficiencies and data quality
  • Works closely with the DB manager to filter and clean data for ongoing data integrity
  • Strong Statistical / numerical background (degree or equivalent)
  • Ability to analyse large and complex data sets with proven experience in delivering recommendations to leadership
  • Strong background in web development using HTML5, JavaScript, Ajax, CSS, PHP or other standard languages
  • Familiar with tools such as R, Tableau, Hadoop, SAS, SQL or similar software
  • Data driven with a strong commercial acumen
205

Data Analytics & Market Intelligence Specialist Resume Examples & Samples

  • Leads global process analysis projects to identify enterprise wide value realisation or process execution efficiencies, including engaging to influence global audiences, designing supply solutions; and ensuring global implementation and embedment of these processes
  • Leads and supports programs of work which build analytical capability within the Supply function
  • Addresses business queries by testing hypotheses and providing analytical insight
  • Assisting in problem resolution by performing deep analysis i.e. performing root cause analysis to diagnose problems and partner with the business to rectify these
  • Pro-actively seeks to find actionable intelligence to identify value in the data sets to provide better financial outcomes for BHP Billiton's Supply Team
  • Identifies best practice across regions and frames the opportunity for replication across the business
  • Identifies industry best practice analytical techniques and tools and works to implement them in the Supply function
  • Support and leads benchmarking studies and external research to identify current Supply practice and performance against external data points
  • Participates in the collation of the Global sub-function roadmap
  • Interviewing stakeholders including the business leadership team, in order to obtain data and insights
  • Preparing business proposals and presentations to Managers, Heads of and the Leadership team
206

Director Global Enterprise Data & Analytics Resume Examples & Samples

  • Lead and partner to establish vision, strategy and promote a culture that treats data as an enterprise asset
  • Acts as an enterprise leader for data insights that help drive strategic and tactical business opportunity
  • Work in harmony with the leadership and teams leading Expeditors Financial Performance and Analysis practices
  • Establish and maintain the overall data strategy and roadmap in collaboration and alignment with the organization
  • Manage, coach and develop a team of data specialists; support and mentor the global data and
  • Extensive leadership and management experience with the ability to lead, manage, coach, develop and execute
  • Ability to communicate, collaborate, and integrate with others
  • Experience with managing financials
  • Extensive knowledge of logistics, supply chain operations and excellence
  • Proficiency in data sciences and standard practices (with supporting technologies)
  • Sense of humor
207

Data Analytics Assoc Resume Examples & Samples

  • Assists in creation and distribution of various Senior Management and Board level reports.. Complete any supporting documents accurately and within required timeframes
  • Assists in maintaining the schedule and workflow for multiple reports and administrative tasks
  • Facilitates and coordinates reporting requirements from multiple stakeholders
  • Assists in constructing data metrics, statistics, and analyses. Provide trend analysis through the data analysis.Formats reports and presentation materials into established templates and style guides
  • Bachelor’s Degree - Required
  • Requires practical knowledge of job area typically obtained through advanced education combined with experience
  • Ability to produce deliverables within required timeframes and quality standards
  • Fair knowledge of project management and Microsoft Office tools
  • Understanding of style guides and editorial process
  • Basic understanding of financial industry, risk management, and/or corporate security
  • Ability to problem solve and swiftly escalate issues to senior staff when needed
  • Keen eye for design and understanding of layout flows and infographics
  • Ability to adjust to rapidly changing security environment and prioritize deliverables
208

Data Analytics Pgh-t Resume Examples & Samples

  • Analyses and evaluates problems on the field, customer complaints based on exploratory data analytics techniques for data obtained from Mercedes Benz Cars
  • Develops algorithms needed for prognosis and diagnosis of problems with powertrain components of Mercedes Benz Cars
  • Participates in engineering analysis team meeting for further interpretation of the results obtained from the data analysis
  • Bachelors/Masters in Engineering Electrical, Computer Science related branches
  • Strong mathematical background in statistics and machine learning for 2 years
  • Excellent coding skills for 4-6 years
  • Good understanding of descriptive and inferential statistics, machine learning algorithms like Random Forests, SVM and neural network
  • Excellent programming skills in any of Matlab, R, Python with special focus on object oriented concepts
  • Exposure to web technologies like ASP.net
  • Exposure to visualisation libraries like High Charts, Plotly
  • Able to handle databases and advanced SQL queries, stored procedures, triggers, view
  • Good communication skills and ability to work in & contribute as a good team player
  • Experience in the automotive field and exposure of multi-cultural environment is an added advantage
209

Data Analytics Internship Resume Examples & Samples

  • Manage data transfer and validation processes for automation and optimization initiative
  • Ensure data accuracy; build trending reports for VOD and App viewing
  • Identify pattern and analyze data from multiple sources
  • Excellent SQL to handle large datasets
  • Understanding of Hadoop ecosystem (HDFS, PIG, HIVE, etc.)
  • Pursuing a graduate degree in Data Analytics, computer science or related quantitative field
  • Knowledge of Tableau a plus
210

Data Analytics Resume Examples & Samples

  • SQL Skills (Most Important)
  • Analytical Skills/Presentations skills (analyzing data and presenting data- no specific technologies)
  • Tableau/Report
  • Big Data / Teradata Platforms experience
  • Analytic and Presentation experience
  • Reporting and Insights experience
211

Senior Data Analytics Visualization Developer Resume Examples & Samples

  • Converts business requirements and specifications into Tableau presentation and data layer application solutions through effective design, coding and testing to enable and support managing operating systems related to inventory, cycle time, quality, and productivity visualizations
  • Designs and creates data views in SQL and influences decisions regarding infrastructure and back-end data solutions in order to enable evolving analytical needs
  • Performs data analysis, designs, and develops data structures based on reporting requirements
  • Utilizes Tableau, Qlik, PowerBI etc. or other presentation layer mock-up software or business intelligence (BI) applications to effectively visualize and demonstrate proposed user interface dashboard and scorecard solutions in order to gain buy-in on requirements
  • Actively participates in client meetings and influences clients around reporting requirements, infrastructure needs, and design decisions
  • Actively participates in scrum team meetings and/or development sprints to complete assigned data views on time and within budget
  • Provide deep subject matter expertise related to data visualization and best practices for presentation and data layer application solutions
  • Data Visualization Analysis Skills: Candidate must be able to recognize the needs of customers and create data visualization solutions that answer those needs
  • Communication: Candidate must be able to clearly communicate their ideas to peers, stakeholders, management, and clients
  • Creativity: Creativity is needed to help invent new ways of approaching problems and developing innovative data visualization concepts as well as bringing experience from other industries
  • Customer-Service: Good customer service skills and a trusted advisor mentality is needed to answer questions in a consultative way and fix issues directly when dealing with clients
  • Attention to Detail: Data views, dashboards, or reports must be developed with little or minimal supervision
  • Problem-Solving: As issues come up, candidate must be able to make decisions that move the project forward
  • Teamwork: Candidate must work well with others as part of a distributed agile team of developers, analysts, QA, BAs, and more
  • Technical Skills: Candidate must be adept in Tableau reporting development and integration with data and have strong technical aptitude related to data visualizations. The following is required
  • 5 - 10 years of data analytics & visualization, business intelligence experience is required
  • At least 3 years of expert knowledge of Tableau Desktop and Tableau Public
  • Bachelor’s degree in Computer Science, Data Science, or other technical discipline
  • Business Intel/Dashboard Rept
212

Senior Manager, IT Audits & Data Analytics Resume Examples & Samples

  • Work with and manage the ASD co-sourced vendor to conduct annual risk assessments for IT and related functions to use as a basis for the development of the annual audit plan. The plan will then be presented to Audits department management and the Audit Committee of the Board of Directors for approvals, and be executed during the year
  • Manage and allocate co-sourced and internal team resources to conduct IT/cyber Audits to provide an independent assessment of internal controls, information security, and compliance with regulations, laws, company policies, industry best practices frameworks, and corporate standards of conduct
  • Manage consulting engagements, as requested by management, and offer recommendations to enhance effectiveness and efficiency of operations, such as evaluating new system implementation for SOX compliance, performing network penetration testing process reviews, etc
  • Maintain frequent contact with inter- and intra-department managers and supervisors and senior management; conduct periodic meetings with executive management
  • Drive ASD’s strategic objectives: increasing continuous auditing: moving from sample to census methodology, automating high frequency low impact tasks, and developing predictive auditing capabilities
  • Holds overall responsibility for developing, implementing, and continuously improving the ASD analytics process: establish a program (e.g., tools, training, audit procedures) and integrate into both specific audit engagements and the overall audit plan. Requires close coordination with IT on the overall Edison data analysis initiative and close coordination, and possible creation of Service Level Agreements, with other groups such as Enterprise Risk Management and Ethics and Compliance
  • Must have a minimum of 8 years of IT, cyber, audit and/or data analytics experience
  • Must have 5 or more years of experience managing or supervising an organization, unit, or large scale projects
  • Must have one or more professional certifications such as Certified Internal Auditor (CIA) or Certified Information Systems Auditor (CISA), or must obtain the CIA or CISA within 3 years of hire
  • Bachelor's degree in computer information systems, STEM or other related technical major
  • Advanced or Master degree in applicable profession, business, or technical discipline (e.g., computer science, MBA or math)
  • CISSP, Computer System or Network Engineering certification, preferred
  • Advanced knowledge of the IT, cyber, data analytics functions and audit techniques; computer assisted audit techniques, statistical sampling, audit and/or data analytics protocols, generally accepted auditing standards, business risk assessment principles, control self-assessment techniques, report writing and documentation
  • Broad knowledge of how to audit and/or run data analysis of requirements in heavy regulated industry, applicable governmental laws as well as risk based auditing
  • Broad IT operational knowledge and problem solving skills
  • Demonstrated ability to manage multiple projects, including assessing risks, developing work plans, prioritizing, and scheduling work activities to support concurrent projects
  • Demonstrated strong oral and written communication skills as well as presentation skills to effectively communicate and interact with personnel at all levels, including executive management, throughout the organization
  • Demonstrated ability to negotiate and influence others
  • Demonstrated ability to work effectively and be flexible in a variety of situations, including those involving uncertainty, lack of information, and changing circumstances
  • Demonstrated experience leading and managing change
  • Data analytics or related certification
  • Technology Industry experience
  • 5 Years IT Operational experience
  • 5 Years of dedicated complex data analytics experience
  • Broad knowledge of typical company and department policies, objectives, strategies, and goals
  • Prior audit or risk assessment experience
213

Analyst, Data Management & Data Analytics Resume Examples & Samples

  • Support data access request and assist in data acquisition to support audit analytics
  • Develop solutions to store and manage data obtained through ad-hoc requests and automated feeds by scripting data load processes, including accurate documentation of such processes
  • Support IA’s data environment users
  • Support both Data Management Lead and Data Analytics Lead in the end-to-end delivery of data analytics engagements across all Internal Audit portfolios
214

Director of Business Intelligence & Data Analytics Resume Examples & Samples

  • Experience in defining and establishing a data and business intelligence vision and roadmap, ability to effectively communicate the vision and roadmap to senior executives throughout the organization, and drive the implementation
  • Experience in design and delivery principles of dynamic data hubs, data integration, information delivery, analytical products, data quality, data security, and data governance
  • Deep architectural and technical understanding of data engineering practices both in modern data lakes and traditional data warehouse eco systems that are scalable for disparate types of data (Structured, Semi-structured and Un-structured)
  • Lead the development and integration of enterprise data across the organization including the production, identification, and extraction of data from source systems, the transformation and loading of data into databases
  • Extensive experience developing and implementing an overall data governance framework, clearly identifying roles and responsibilities across
  • Ability to work closely with colleagues within IT and within the business to ensure consistency in data definitions and data usage
  • Experience in evaluating on-premises v. cloud-based data infrastructure solutions, making objective recommendations, and driving the implementation of those recommendations
  • Experience selecting, implementing and maintaining a BI toolset for users, creating an environment of ‘self-service’ for data and information
  • Extensive experience in delivery life cycles using both waterfall and agile methodologies
  • Ability to lead and drive organizational and cultural change, motivate and mobilize others as well as build and develop a high functioning team
  • Demonstrated experience in organizing work and managing multiple potentially conflicting priorities
  • Establish and maintain policies and standards to guide data usage, storage, retention and development of definitions
  • Establish and maintain policies and standards to control access to sensitive/confidential data
  • Strategic acumen and problem solving skills with the ability to turn findings into executable plans
  • Direct, hands-on experience with Microsoft data technologies, including SQL Server, SSIS, SSAS, and PowerBI
  • Solid understanding of key BI trends and SaaS based BI solutions
  • Extensive expertise in data modeling, both logical and physical
  • Extensive expertise in visualization tools like Qlik, Tableau or equivalent
215

Data Analytics Internship, Summer / Fall Resume Examples & Samples

  • Basic understanding of SAS coding
  • Statistics or Econometrics background
  • Previous work experience in statistics
  • Senior or higher working towards (or recently graduated with) a Bachelor’s/Master's degree in Statistics, Mathematics, Economics, Operation Research, or a related quantitative field
  • GPA of 3.0 or higher
216

Data Analytics Resume Examples & Samples

  • Team leads for large teams or managing one customer with multiple projects
  • Responsible for people Management, including goal setting and providing performance feedback
  • Responsible for estimation, planning and execution with specific focus on requirement analysis and design
  • Fair understanding of project management skills
  • Fair amount of domain expertise gained through working on the application or certification programs (if working in a vertical)
  • Good understanding of the sphere of activities in a horizontal domain
  • Has to manage escalations, trouble shooting
217

Senior Manager, Business Data Analytics Resume Examples & Samples

  • Responsible to understand the overall performance of the Customer Care assisted contact channels by analyzing current trends, understanding business drivers, and proactively delivering data driven recommendations
  • Manage team of analysts that are responsible to create forecasts, dashboards, and analysis of key performance indicators and strategic initiatives
  • Drive analytical approaches to diagnose the root cause of customer issues, including the development of voice of customer analytics… used to uncover trends and actionable insights to improve the product and customer experience
  • Partner with data engineering to ensure data is available and accurate. Manage priorities to help make new data sources available. Pursues data quality, troubleshoots data validation, and sees issues to resolution
  • 7-10 years of experience in decision support analytics with proven ability to drive results and take on expanding responsibilities. Prior experience directly managing people is required
  • Deep subject matter expertise with SQL and Tableau
  • Strong analytical and problem solving skills… able to develop and use structured approaches to identify root causes and recommend resolutions
  • Attention to detail with a high degree of accuracy on work output; ensures that reporting and analysis is on time and error free
  • Strong communication skills, both verbal and written… present results in meaningful terms and instills confidence in recommendations. Ability to manage interactions and influence effectively across a complex matrixed organization
  • Proven ability to build strong relationships with business partners to deliver results
  • Strong organization, time management and task prioritization skills
  • Proactive and inquisitive learner… seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances
218

Data Analytics Internship, Summer / Fall Resume Examples & Samples

  • Proficient with SAS tools and functionality (e.g., Enterprise Guide, Web Report Studio)
  • Familiarity with SQL
  • Senior working towards (or recently graduated with) a Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics or a related technical and quantitative field
219

Intern, It-data Analytics Resume Examples & Samples

  • Preferably java background, some hadoop and some software development
  • Conduct research related to ESI and its clients
  • Makes or assists in making oral or written presentations to management
  • Collaborate with other functional areas on various projects as needed
  • Full-time student in an accredited 4 year college, graduate program or Pharm. D. Program; Preference given to students with 3.0 GPA or above
  • Proficiency with Microsoft Office Suite
  • Motivated self-starter; Excellent verbal and written communication skills; Attention to detail; Excellent analytical skills; Creative and resourceful; Strong business aptitude; Knowledge of the PBM or healthcare industry preferred; Dates of Internship are May 14th-Aug 3rd, 2017; Students must be available to work M-F 8am-5pm during this time frame
220

Data & Analytics Capital Markets Manager Resume Examples & Samples

  • Managing a client assignment
  • Developing long-term trusted advisor relationships
  • Identifying opportunities for and securing new business
  • Aiding proposals and bid teams
  • Developing high quality technical proposals
  • Managing on-site EY teams
  • Liaising with service line teams, functional specialists and partners focussed on Corporate & Investment Banking domain
  • Helping to develop the Capital Markets practice
  • Ambition to build / develop a career in advising Corporate and Investment Banking clients
  • Intellectual strength / flexibility to rapidly understand complex problems and rationalise these into a workable solution which can then be delivered
  • Ability to develop and deliver high quality output against stated project objectives and meet tight deadlines
  • High level of drive, commitment to achieving solutions, and ability to work under pressure
  • Ability to develop impactful written presentations and participate effectively in meetings with senior clients
  • Team player who openly supports, encourages and shares knowledge with colleagues
  • Flexibility to travel to, and work in, other locations is essential
  • Data architecture
  • Data governance, lineage, quality and sourcing and associated tools such as Collibra, AbInitio, Trillium
  • Big Data technologies (such as Hadoop)
221

Data Analytics Resume Examples & Samples

  • Strategic problem solving & analytical skills
  • Experience collecting & analyzing data and reporting on the results
  • Excellent oral/written communication skills
  • Intense attention to detail
  • Ability to adapt in a rapidly changing business environment and manage multiple competing priorities
  • Proficiency in Microsoft Office
  • Experience with SAS tools and functionality (e.g., Enterprise Guide, Web Report Studio)
  • Experience with SQL or other data manipulation tools
  • Familiarity with Tableau or other data visualization tools
  • Working towards (or recently graduated with) a Bachelor’s degree in an analytical field including Economics, Industrial Engineering, Statistics, Mathematics or other related quantitative field
222

Mgr-data Analytics Resume Examples & Samples

  • Manage a team of data scientist and profile platform efforts
  • Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our visitors interact with our website
  • Identify new levers to help move key metrics
  • Partner with IT, Personalization, GTM and Optimization teams to solve problems and identify trends and opportunities for new profile attributes
  • Bachelor’s degree required in Marketing, Business or other related fields with emphasis in quantitative methods
  • 3+ years experience managing a team
  • 6+ years of relevant experience in analytics, measurements, business intelligence, or media research
  • Experience with Site Catalyst SQL, Tableau, data visualization tools and required
  • Excellent general business analytical skills able to quickly synthesize data at micro- and macro-level to produce concise interpretation
  • Proven success developing business, marketing planning/analysis, opportunity identification and optimizing marketing investment
  • Strong understanding of how marketing investment management supports a large organization including ability to successfully articulate the linkage between business decisions, business objectives, and analytical approaches & findings
  • Focuses on delivering results accurately and timely by overcoming obstacles and developing tools to improve efficiencies
  • Highly professional with high ethics and standards
223

Mgr-data Analytics Resume Examples & Samples

  • 7+ years of related analysis experience, preferably in a telecommunications or technology industry
  • Knowledge of SQL (preferably Teradata), Adobe Marketing Cloud Tools (Reporting & Analytics, Test & Target, Ad Hoc, Workspace) MS Excel, and MS PowerPoint is required
  • Strong written and oral communications skills
  • Detail oriented, demonstrates a sense of urgency, effective teaming skills, self-driven with strong initiative, ability to balance multiple priorities to meet stringent deadlines, adaptive to change
224

Associate, Data Analytics Resume Examples & Samples

  • 1+ years of IT, analytic, internal audit, or consulting experience
  • Working knowledge of databases such as ACL, SAS, Teradata, Oracle, DB2, SQL Server, etc
  • Understands data structures, operational vs analytical data structures, and normalization
  • Individuals that have achieved professional credentials, or are working toward professional certification preferred (CIA, CAMS, CRMC, CPA, CISA, or other relevant certification)
225

Senior Associate, Data Analytics Resume Examples & Samples

  • Bachelor’s Degree in Business Administration, Computer Science, Information Systems Administration or an alternative technology related field
  • 3+ years of IT, analytic, internal audit, or consulting experience
  • Availability to work evening hours, when necessary, is required
  • Open to minimal travel requirements (5% - 10%)
  • Knowledge of general purpose programming languages (COBOL, Java, C++, etc) including domain specific languages, static and dynamic languages, application design and development, test driven development, and agile practices
  • Practical experience in compliance, risk management activities, audit, or regulatory examinations helpful
  • Experience in Financial Services, Banking, Credit Card or Public Accounting preferred
226

Lead Analyst, Consumer Data Analytics Resume Examples & Samples

  • Partner with IS, Consumer Experience teams and partner agencies to ensure consumer data is collected uniformly and accurately for analysis
  • Support connected commerce, programmatic media, targeting shopper marketing, and other enterprise initiatives with consumer data analytic needs
  • Provide recommendations to enhance the technology ecosystem for the consumer data strategy
  • At least 4 years of relevant experience is required
  • Experience with major DMP (BlueKai, KRUX) and DSP platforms is required
  • Experience with Data Analytics tools (R, Alteryx) is preferred
  • Proven ability to manage external suppliers
227

Cslt-data Analytics Resume Examples & Samples

  • Work with stakeholders and vendors, to track, understand and provide insights and analytics on assigned channel; Chat, Telesales and Red Ventures/Affiliates
  • Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our visitors interact with our assisted channels (e-Telesales, Chat or Affiliates)
  • Understand ecosystems, user behaviors, and long-term trends
  • Communicate state of business, results, etc to teams
  • Ensure programs are executed with data-driven philosophy and post execution measurements are in place
  • 5+ years of relevant experience in analytics, measurements, business intelligence, or media research
  • 3-5 years in telecommunications or wireless industry preferred
  • Knowledge of attribution, econometrics and programmatic models techniques
228

Cslt-data Analytics Resume Examples & Samples

  • Identify and implement new data attributes and delivery to scale the right solutions for increasing adoption
  • Support of Control Tower Campaign testing and prioritization
  • Develop propensity models and algorithms for machine learning
  • 4+ years of relevant experience in analytics, measurements, business intelligence, or media research
  • Experience with Pega, Adobe tools including Audience Manager, Target and Site Catalyst
  • Experienced using Vertica, Hadoop, Aster Data, Teradata V2R5, V2R6, R12, R13,, R14, R15, SAS, MS SQL Server, MySQL, Informix and Oracle
229

Data Analytics Resume Examples & Samples

  • Monitoring and enhancing the efficiency, effectiveness, and impact of the activities that are performed by the PPG
  • Support the teams in the process of design and development of risk based activities, with strong emphasis on data analytics, in an iterative manner
  • Utilizing Business Intelligence Tools, Text Analysis, Data Mining Techniques, and Statistical Analysis to enhance the analytical models
  • Understanding JPMC data and utilize the data in an integrated & holistic manner aligned to the requirements of the PPG team
  • Working with the teams and the IT organization to define, prioritize, and address audit related needs
  • Preparing team planning and performance metrics and reports for various Regulators, Committees and Reporting requirements
  • Assisting with the design, development, and implementation of global initiatives
  • Apply Project Management practices & prepare communications plan & status reports for key stakeholders with details of requirements, dependencies, risks, timelines, etc
  • Designing analytics test to support audit activities, including Audits, Continuous Monitoring, and Risk Assessments
  • Actively participate in the Audit Data Analytics forum, and partner with peer Data Analytic teams & stakeholders to build relationships, and share ideas to add value to the Audit department and Firm
  • Comply with JPMorgan Chase technology and data standards and policies, and stay abreast of new tools & technologies to assist the team in creating the most efficient & effective data strategies
  • A Bachelor's degree and a minimum of 7 years of related work experience; or a Master's degree and 5 years of related work experience
  • A degree in Finance, Computer Science, Information Systems, Engineering, or a related field; MBA or MS degree preferred
  • A minimum of 5 years of experience working at a Financial Services company or comparable experience as an advisor to a Financial Services company
  • Experience working in Banking & Capital Markets, Retail Banking, Wealth Management, or Asset Management; knowledge of Risk, Audit, & Compliance functional competencies, and Financial Products preferred
  • Strong analytical, logical reasoning, problem solving, troubleshooting, and process reengineering skills
  • Ability and comfort researching inquiries and emerging issues, including regulations, industry practices, and new technologies
  • Proven track record of developing and delivering sustainable analytical tools and processes
  • Experience with working with end users to define and design business, functional, and technical requirements, source data, develop solutions taking an iterative approach, build proof of concepts, and assist with systems selection pilots and implementation support
  • Strong written and verbal communication, presentation, end user service, and technical writing skills, coupled with strong interest in further developing and integrating operations with technology
  • Demonstrated ability to be a self-starter, work well in a team but also show leadership skills, manage expectations & competing priorities, be enthusiastic, have willingness to adapt in a fast-paced environment, understand sense of urgency, be effective under pressure and willing to take personal responsibility / accountability, have professional maturity, and work with limited supervision
  • Excellent partnership & influencing skills and the ability to be effective in a matrix environment
230

Intern, Data Analytics Resume Examples & Samples

  • Great location in Chicago near O’Hare airport
  • Casual dress Fridays and business casual year-round
  • On-site gym with free access for associates located at Littelfuse Headquarters
  • Easily accessible via public transportation; walking distance from CTA blue line
  • Document business requirements into specifications that will be used to implement the required reports and interactive dashboards, created from potentially multiple data sources
  • Assist with the design, development, and deploy Tableau interactive dashboards
  • Validation and testing of critical business reports and closely monitor and check the accuracy and completeness of data in Tableau
  • Perform optimization of Tableau reports
  • Change, build, and execute python script for data extraction and feed to Tamr software
  • Debug and root a cause for the error of Tamr data extraction
  • Linux administration
231

Cib-bat-data Analytics Resume Examples & Samples

  • Partnering with functions across J.P. Morgan globally to elicit operations and technology data for analysis
  • Analyzing and organizing large quantities of data to identify trends and areas of opportunity for cost and efficiency savings and process improvements
  • Analysis of internal and external operational metrics including volume data, key performance indicators and control measures
  • Analysis of financial data
  • Identifying gaps or anomalies in data for further analysis
  • Summarizing data analysis to support strategic recommendations, including tables, graphs, visual representation and commentary, for different levels of the organization
  • Providing regular updates on data analysis to core team and senior management
  • We are looking for a motivated individual with at least 5-6 years of relevant experience in the financial industry. The successful candidate must be able to demonstrate strong analytical skills as well as having excellent written and oral communication skills, and be able to work in a high pressured environment
  • Expert in MS Excel and Access with VBA and DataBase building/maintenance skills are essential
  • Expertise in large scale data analysis and manipulation
  • Strong analytical skills and logical thinking, with attention to detail
  • Ability to work under pressure and to fixed deadlines
  • Excellent organizational skills, with the ability to multi task and prioritize effectively
  • Ability to absorb, understand and decipher information effectively and efficiently
  • Self-starter with ability to manage own workload and deliverables
  • Effective MS PowerPoint skills are desirable
232

Data Analytics Pipeline Engineer Resume Examples & Samples

  • Proven ability designing distributed systems to process large data sets and derive useful results
  • Experience with Scala is a plus
  • 2+ years experience designing large-scale distributed systems, including Map/Reduce, Kafka and streaming technologies
  • Strong knowledge of SQL and NoSQL databases. Experience with OLAP a plus
  • Statistics experience is a plus
  • Proficient with UNIX environment
233

Associate Director Integrated Data & Analytics Resume Examples & Samples

  • Engage with business partners all over the world, in the Pharma R&D domain, to understand their information needs & analyze complex information to understand cost, performance and efficiency of RDO processes, and be able to help identify areas for process improvement within RDO
  • Analyze complex information to understand cost, performance and efficiency of RDO processes, and be able to help identify areas for process improvement within RDO
  • Significant experience working in global organizations is required
  • Experience in pharmaceutical, clinical operations, or R&D organizations is preferred
  • Excellent knowledge of English is required. Must be proficient in Microsoft Office applicationsDatabase
234

Audi Product Data & Analytics Innovation Specialist Resume Examples & Samples

  • Drive innovation solutions in the area of product planning to further overall business growth
  • Manage consistent and correct product definition data between factory and importer
  • Analyze market data and product configurations in coordination with sales regions
  • Analyze trends and recommend tools to automate product build data intelligence
  • Lead definition of infrastructure and processes for future innovations in the product data area
  • Collaborate with IT and external partners to automate processes and provide a measurable business impact
  • 5 years of relevant experience
  • Bachelor’s in BA, Engineering, or similar
  • Master’s in BA, Engineering, or similar
  • Analytical and conceptual/visionary thinking
  • Creative and strategic thinking
  • Problem solving using logic, data, and reason
  • Experience with market research sources and data analysis
  • Knowledge of vehicle development process and lifecycle management
  • U.S. market premium vehicle and consumer requirements
  • Detailed knowledge of Audi products and competition
  • Demonstrated capabilities in writing and presentation skills
  • SAP ERP, SAP BO, data analytics software, programming languages
  • Strong analytical background in data management, streamlining, and modeling
  • German language (business fluency)
  • Experience with product build systems and/or product information management
235

Analyst, Modelling & Data Analytics Resume Examples & Samples

  • Researches and develops market views to create Jurisdiction assumptions to support stakeholders
  • Creates financial assumptions to drive consistency in Jurisdiction and assist in driving financial performance
  • Provides insight through modelling and analysis to support Jurisdiction profitability
  • Applies regulatory requirements for Jurisdiction and translates into financial business performance drivers
  • Provides analysis to complete pre-filing discovery responses
  • Bachelor’s Degree or MBA in Accounting (preferred), or Finance or related disciplines with relevant accounting coursework
  • Solid understanding of US Generally Accepted Accounting Principles (GAAP) or CPA certification
  • Relevant experience can include business partnering, budgeting, forecasting or financial performance analysis
  • 3 years of experience
  • Previous experience researching and developing market views and can include investment securities research
  • Demonstrated financial, and business analytics modelling
  • Advanced computer skills in MS Excel, MS Word, MS PowerPoint and MS Access; SAP preferred
  • Excellent written / oral communication skills, follow-up, and negotiation skills
236

Data & Analytics Capital Markets Resume Examples & Samples

  • Strong interest and commitment to developing and delivering leading edge solutions to industry clients
  • Ability to develop strong client relationships
  • Ability to work under limited supervision (‘self-starter’) in unstructured environments
  • Enterprise architecture
  • System implementation
  • Data Mapping
  • Data warehousing
  • Data Analytics toolsets such as SAS Analytics, IBM Watson, Spotfire or Tableau
  • Package selection
237

Manager / Director of Data Analytics Resume Examples & Samples

  • As a member of the strategy team you will be responsible for running analysis for sales, customer service, and customer loyalty teams
  • You’ll use SQL to explore EF’s customer data, troubleshoot potential data issues, and produce datasets that are vital to the business
  • You'll collaborate daily with all levels of the organization from the VP’s and presidents to the sales managers and directors
  • You'll expertly translate the complexity of relational database systems into a language anyone can understand
  • 3-5 years of experience as a data analyst
  • Expert knowledge of Excel with an in-depth understanding of pivot tables and Excel functions
  • Intermediate to advanced SQL coding
238

Data & Analytics Executive Resume Examples & Samples

  • Be fully responsible for analyzing local data and able to extract insights on each city difference. The approach you make needs to be hyper-local based on the data and analysis crafted
  • Be expected to achieve better hyper-local planning activities across cities based on solid data. Also, you are expected to craft a quality and timely report that standardizes across cities, and do root cause analysis and gap analysis of condition in each city
  • Analyze local data and be able to deliver insights while at the same time create structured planning and reports
  • Be expected to be strategic, understand the human nature and behavior and strategies to influence them while enjoying the experience of communicating and growing with partners
  • Support the Head of City Management to ensure proper data and analysis has been made before deciding things
  • Mentor city team regarding the importance of data-driven and hypothesis-driven approach in getting things done
  • Fluent in Bahasa Indonesia
  • Good in written and spoken English
  • Minimum 4-5 years of primary experience in data and strategy field
  • Microsoft Excel, Microsoft PowerPoint, Microsoft Word
  • Other systems & tools to help analyzing and reporting
  • Excellent communication skills. Good interpersonal skills that enable one to work with people at all levels, to motivate and empower whenever necessary
  • Experience in strategy and consulting is a plus point
  • Able to make key business decisions or provide solid recommendations based on data & analytical thinking
  • Self-starter and ability to work well in a fast-paced environment
  • Minimum 4-5 years
239

Atlanta Data & Analytics Business Intelligence Manager Resume Examples & Samples

  • Strong project management and client relationship skills
  • Prior management and direct supervisory experience in a team environment
  • Self-starter and can operate independently as needed
  • A high threshold for ambiguity and lack of structure and process during early phases of engagements
  • Creative and logical problem-solving abilities
  • Excellent leadership, interpersonal, and team building skills
  • Mentoring and people development capabilities
  • Advanced listening skills and written and verbal communications
  • Ability to multi-task and maintain professional demeanor under pressure
  • Organization and time management expertise
  • Proficient in Microsoft Office suite applications with specific emphasis on Access, Excel, Visio and PowerPoint
  • Prior experience working in either Data warehousing or Business Intelligence
  • Experience with any major ETL vendor, such as SSIS, Informatica, Data Stage, etc
  • Experience designing and implementing data models for applications or reporting
  • 7+ years working with SQL including intermediate to advanced knowledge on DML / DDL
  • Experience with any of the major Business Intelligence reporting tools, such as BusinessOjbects, Hyperion, Cognos, Microstrategy, Tableau, QlikView, or SSRS
  • Experience working within a Microsoft SQL Server, MySQL, Oracle, TeraData, or other major database management systems
  • Experience with either Master or Meta Data repositories
  • Experience working with business stakeholders to translate business issues into technology solutions and vice versa
  • Demonstrated knowledge of technology project risks and strategies for managing and mitigating them
  • Data Governance is a plus
240

Data Analytics Doctorate Starting July Resume Examples & Samples

  • Monitoring, assessment and forecasting of global macroeconomic developments
  • Analysis of global passenger car and commercial vehicle markets
  • Conducting regular group-wide reports and adhoc analyses on economic and
241

Cb-VP-data Analytics Resume Examples & Samples

  • 10+ years of work experience in data management, report delivery and managing multiple business partners
  • 3+ years of project management with clear tracking and monitoring across various tasks
  • 5+ years of people management with clear evidence of training, coaching and developing
  • Thought leadership and Analytical experience to deal with complex business problems
  • Experience in managing multiple stake holders on planning, prioritizing the deliverables
  • Implemented best practices, knowledge bank and managed best-in class in-house support
  • Strong SQL skills with working experience in any of the following Databases – Oracle, SQL Server, Teradata, DB2, Netezza etc
  • Have worked on BI tools like COGNOS, Microstrategy, SAS, Qlikview to provide reporting/visualization solutions
  • Ability to collaborate and influence at all levels of the organization
  • Proven ability to lead and inspire a team to deliver extraordinary results - people leadership is a key requirement of the role
  • Worked with any of the BI tools to deliver reporting needs of the clients
  • Used Work flow management tools to monitor and track various requests from business partners and provide dashboard reporting on the same
  • Excellent communication skills, including written, presentation and employee interaction as well analytical bent of mind to identify opportunities
  • Exposure to operation analytics in BFSI domain is preferable but not mandatory
  • Project Leadership experience in order to manage department-wide initiatives
242

Data & Analytics Resume Examples & Samples

  • Conducting compliance reviews, either under a consulting arrangement or in support of internal audit
  • Assisting clients with the development of compliance-related policies and procedures
  • Providing assistance in a consulting capacity to clients in resolving regulatory enforcement actions or remediating known compliance deficiencies
  • Deep knowledge of bank and/or credit-related regulatory requirements, specifically related to consumer compliance regulations (e.g., Federal Reserve regulations, Fair Lending, Privacy, etc.), and industry “best practices” for compliance programs in larger banking or consumer lending organizations
  • Familiarity with third party software available to support compliance programs
  • Prior project management and supervisory skills
  • Demonstrated ability to work as part of a team and train others on regulatory requirements
  • Must be able to handle highly confidential information in a strictly professional manner
  • Must be able to maintain professional demeanor in times of high stress
  • Solid knowledge of process reengineering and methodologies, including flowcharting
  • Proficient in Microsoft Office suite applications
  • Travel throughout the month frequently required based on client requests/commitments
243

Data Analytics Co-op Summer Resume Examples & Samples

  • Must be able to complete a co-op from May 2017- August 2017
  • Minimum 2.75 GPA
  • Java, Python software development
  • Javascript development, particularly with ext-js or Sencha
  • Web-services (REST) and related technologies
244

Associate Director of Data Analytics Resume Examples & Samples

  • Manage, mentor and develop a team of data analysts
  • Assist with prospect and customer presentations
  • Provide analytic reporting support to sales / marketing initiatives and strategies to support growth and value proposition
  • Set strategy for data content within stewardship reporting packages
  • Identify opportunities for proactive data analytics in the areas of total cost of care and bend the trend
  • Provide analytic reports to customers outlining financial trends, cost drivers, clinical outcomes and opportunities for improvement
  • Partner with Account Management and other internal partners to drive reporting enhancements
  • Collaborate with vendor partners to support the customer’s data needs
  • Evaluate internal processes to deliver data analysis and consultation to our customers in more time and cost efficient ways
  • Partner with Product team to provide meaningful report output related to various business programs
  • Build strong relationships within the organization by collaborating with multiple internal departments
  • Bachelor's degree or equivalent work experience
  • 3+ years of experience in health care informatics and performing analysis on health data metrics
  • Intermediate level of proficiency working with MS Excel including formulas, calculations, charts, graphs, etc
  • Basic level of proficiency with Access
  • 3+ years experience in performing & reviewing data analytics
  • Experience with using some type of using query and business intelligence software (i.e. Tableau, Cognos, MicroStrategy, MS - SQL)
  • Ability to travel as needed, 10% anywhere in US
  • Office location in Wausau, WI or telecommuting (home office) within 2 hour radius of Wausau acceptable, this is including Minneapolis and Milwaukee area
  • 5+ years of health care experience
  • Experience in managing a team, especially analysts
  • 3+ years in working in a corporate environment
  • Clinical expertise to assist with data analysis
245

Director, Market Insights & Data Analytics Resume Examples & Samples

  • Client Experience Program – lead the deployment and monitoring of our new enterprise-wide initiative, Client for Life, for GRS. Responsibilities include the surfacing of insights to continuously increase client satisfaction and loyalty through activities such as data requirements, data mining, integration of disparate data sources as well as the analysis of various study results
  • Competitive intelligence– build a formal process for the gathering and continuous analysis of competitive and market intelligence relevant and usable for internal stakeholders to advance the business
  • Reporting and measurement; be our go-to-expert for the management of our team Brighter Way Management Scorecard (Lean), Visual dashboard, KPIs and metrics establishment. Structure and support the measure and assessment of our marketing and communication client investments, projects impact and results
  • Leads the analytics function in Marketing
  • Identifies opportunities to leverage analytics to add value to business processes or marketing initiatives
  • Leads the creation, implementation and management of a best practice process to meet the business’ need for gathering and disseminating competitive intelligence to internal stakeholders
  • Acts as in-house expert that consults and collaborates with leaders to understand business needs and determine the data analytics requirements to best fulfill them
  • Pursues data mining opportunities to enable new insights to be identified
  • Act as business expert and key collaborator for our Global Client Experience and Insights team in the design and management of our research projects - ensuring project quality, relevant segmentation, adherence to budget, timely delivery as well as relevancy and full leverage of information gathering usage
  • Consults on operational metrics and KPIs development through understanding of statistical methods, digital data mining, measurement best practices, and data analysis
  • Actively participates in internal collaboration groups, industry forums, and technical forums for data analytics. Network with peers throughout SLF Canada to establish and leverage best practices, exchange learnings/knowledge and champions analytics through SLF
  • Analyzes/interprets research results and determines impact/relevance to the business - draws on its knowledge of Sun Life’s strategic priorities and competitive position
  • Bring results/analysis to the business, including presentations to senior leadership
  • Bring insights to the marketplace by supporting the creation of white papers, articles, presentations etc., positioning Sun Life as a thought leader
  • Builds and manages key relationships with external providers/professionals engaged for research and data analytics initiatives
  • 7-10 years relevant experience in either market research, engineering, mathematics, digital analytics, analytical marketing – preference in financial services
  • Experience as an data analyst/researcher
  • Experience managing strategic projects with accountability to senior leaders
  • Bachelor degree preferably in Marketing, Social Sciences or a related discipline, MBA or similar graduate degree a definite asset
  • LI-WJ1
246

Risk Data & Analytics Resume Examples & Samples

  • Hands-on developer who can turn requirements into a detailed design and delivering to committed timescales with suitable testing
  • Good SQL experience
  • Experience of TDD and/or BDD methodologies
  • Agile development experience
  • Ability to enforce standards for software development: continuous integration, testing and deployment, information security, software quality and controls
  • Excellent academic record, degree level minimum - preferably Science, Technology, Mathematics or Engineering (flexible based on experience)
  • Pro-active and dynamic individual who is able to work under pressure in a front-office technology environment
  • Multi-threading
  • Distributed Application Development
  • Experience of NoSQL data stores
247

Internship Data Analytics Resume Examples & Samples

  • Experienced in using Microsoft Office Suite with and emphasis on Access, Excel, Visio
  • Strong execution skills with the ability to prioritize and complete tasks based on business need
  • Experience with Database Programming (SQL, VBA)
  • Web Development (HTML, XML, Java, Java Script) is preferred
  • Experience using GI2 (SAP Business Objects) and MicroStrategy (IBM Cognos) is preferred
  • Previous experience that demonstrates teamwork and collaboration
  • Attend an accredited college or university full-time in the United States
  • Be a rising junior or senior
  • Have a minimum 3.0 GPA
  • Be authorized to work in the United States
248

Data & Analytics Director Resume Examples & Samples

  • Strategic and Tactical: Understand and relay data products and platform strategy to accomplish Neustar’s vision. Understand and relay technology constraints and develop tactical approaches to overcome those constraints to achieve organizations goals. Strategic and tactical management of technology and processes to ensure organizations objectives are met and legal/regulatory compliance is achieved. Define and maintain strategic master plans, architecture principles, technology specifications, roadmaps, policies and guidelines
  • Planning and Communication: Lead planning exercises for accomplishing the strategic and tactical objectives with deliberate management of dependencies, constraints, issues and risks from technology and process viewpoints. Collaborate across multiple teams to ensure a comprehensive plan and clearly articulate the plan to relevant audience (including senior leadership) to ensure broader acceptance and support. Planning needs to enable and support an agile development and iterative delivery approach
  • Execution and Delivery: Action strategic and tactical plans to ensure delivery of objectives. Ensure documentation related to the full development life cycle is created, kept current and communicated across the teams during execution, delivery as well as post delivery. Execution and delivery needs to follow a rapid iterative agile process to ensure time to market objective
  • Measurement and Action: Use both qualitative and quantitative attributes to measure and assess artifacts used and generated as part of the development life cycle as well as ongoing operations. Take action to continuously improve the measures through developing specific criteria for evaluation, triage, assignment and tracking
  • Technology and Thought Leadership: Be the leader in driving end-to-end realization of cutting edge technology based data platforms, products and services for highly automated, self-serviced end-to-end highly customizable campaigns facilitating data on-boarding, preparation, analytics, business intelligence, and delivery of superior insights to customers
  • Bachelors degree in computer science or engineering discipline (master degree preferred)
  • 20+ years of experience in information technology and information services domain
  • 10+ years of experience in technology leadership positions with similar roles and responsibilities
  • 10+ years of experience in the digital, data, analytics domain with significant hands on experience in building enterprise scalable platforms and products
  • Strong expertise in the digital architecture, digital platforms or data architecture, data platforms and ecosystem tools, technologies and applications. Experience with the latest data and digital ecosystem related to marketing, advertising, security, internet of things and related domains is a plus
  • Hands on experience and expertise in big data, business intelligence and analytics with significant past deliveries and achievements. Hands on experience in designing and building real-time and bulk marketing campaign delivery platforms
  • Strong experience in designing and developing enterprise services with integrated digital ecosystem or enterprise data fabric with integrated data ecosystems
  • Ability to guide strategic technical discussions, and facilitate innovative tech development
  • Passion to seek out new technologies and innovative ways to approaching a problem
  • Rapidly internalizes business and technology concepts and understands the organizational landscape
  • Fast executor with a track record of contributing to on-time completion of complex projects or programs; responds under pressures of time and uncertainty
249

Ftds Data Analytics & IT Forensics Resume Examples & Samples

  • Perform complex forensic data analytics procedures. Supervise and provide on the job training to less experienced resources and perform first round technical review of analytics. Other responsibilities may include inter alia draft data requests, initiate discussions with clients, verification of data obtained, articulate draft results to Management and support the team with delivery
  • Secure and image varied digital devices and extract relevant electronically stored information
  • IT degree
  • Two or more years in-depth experience in data analytics, preferably Forensic Data Analytics. Preferred software experience must at least include one of the following: SAS, SQL and / or IDEA. Working knowledge of ERP and other widely used systems is beneficial, such as SAP, Oracle, JDE, BaaN and / or VIP. Industry specific experience such as Financial services, Retail and Consumer Products, Government and Healthcare will be an advantage
  • Minimum of 3 years of IT Forensics experience using Encase and/or FTK. EnCE will be an advantage
  • Ability to work on multiple engagements at once, technical review capabilities, ability to clearly communicate with Management as well as the wider Forensics team and clients, if required
250

Data & Analytics Resume Examples & Samples

  • Manging, building and developing a team of top performing data scientists working across a range of behavioural analytic client problems
  • Providing design and coaching and overall management of client projects, and where necessary getting involved in model development on critical projects
  • Leading research & development efforts around core FTI Data & Analytics platforms, external data library and related capabilities
  • Supporting business development and go to market efforts as technical leader in support of Senior Managing Director
  • Driving and representing the firm in thought leadership on Data & Analytics issues internally and externally
  • Travel to client sites and industry events
  • Masters or PhD in Maths, Science or Engineering
  • Additional professional development or academic research in Data Science or Statistics
  • Experience building, managing and growing team of data scientists
  • Proficient in a combination of R, SAS, Python, MATLAB, Perl, PHP, C/C++, JAVA, AWS and other programming languages and system environments
  • Having strong interpersonal and excellent communication (written and spoken) and organizational skills
  • Being highly motivated, hard-working, eager to learn, willing to travel, and able to motivate others
  • Able to work in a team as well as independently and adapt quickly to dynamic tasks and deadlines resulting from new or changing priorities
  • Able to effectively provide oversight across multiple staff and projects
  • Able to provide quality assurance and supervision and effectively communicate status and escalate priority issues
  • Able to motivate and manage teams to produce high quality work product under challenging time constraints
  • Experience working in a team-oriented environment
  • Experience working in a commercial client services environment