Data Analytics Senior Resume Samples

4.5 (85 votes) for Data Analytics Senior Resume Samples

The Guide To Resume Tailoring

Guide the recruiter to the conclusion that you are the best candidate for the data analytics senior job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.

Craft your perfect resume by picking job responsibilities written by professional recruiters

Pick from the thousands of curated job responsibilities used by the leading companies

Tailor your resume by selecting wording that best fits for each job you apply

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

CHOOSE THE BEST TEMPLATE - Choose from 15 Leading Templates. No need to think about design details.
USE PRE-WRITTEN BULLET POINTS - Select from thousands of pre-written bullet points.
SAVE YOUR DOCUMENTS IN PDF FILES - Instantly download in PDF format or share a custom link.

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

Create a Resume in Minutes
HB
H Bosco
Haskell
Bosco
369 Durgan Forest
Chicago
IL
+1 (555) 553 5543
369 Durgan Forest
Chicago
IL
Phone
p +1 (555) 553 5543
Experience Experience
04/2016 present
Los Angeles, CA
Data Analytics Senior Associate
Los Angeles, CA
Data Analytics Senior Associate
04/2016 present
Los Angeles, CA
Data Analytics Senior Associate
04/2016 present
  • To create and capture opportunities to advance your career and fulfill your potential. To learn more, visit us at www.pwc.com/careers
  • Researching new products, tools and techniques to assist with streamlining internal processes and methods of presenting results to clients
  • Software development lifecycle and methodologies
  • Concise and clear communication when presenting and explaining results and findings
  • Drafting reports and presentations to explain our findings
  • Healthcare, Insurance, Financial Services, Customer an industrial Products and Services, Manufacturing or Telecom Industries
  • Data analytics programming (e.g. SAS)
01/2011 02/2016
San Francisco, CA
Data Analytics Senior Manager
San Francisco, CA
Data Analytics Senior Manager
01/2011 02/2016
San Francisco, CA
Data Analytics Senior Manager
01/2011 02/2016
  • Supporting sales through working on bids, proposal responses and developing opportunities
  • Assessing data governance processes and operations to manage data submitted to regulatory bodies
  • Developing data analytics routines to identify and scenario test risks
  • Designing automated and data-driven controls and structures to better manage and protect data assets
  • Establishing credibility both internally and externally through your knowledge, approach, and professionalism
  • Managing projects and project workstreams including project delivery, budget and risk
  • Building and maintaining relationships both internally within the PwC network and externally with clients
05/2005 10/2010
New York, NY
Data Analytics Senior
New York, NY
Data Analytics Senior
05/2005 10/2010
New York, NY
Data Analytics Senior
05/2005 10/2010
  • Supports the Customer 360° ‘C360°’ Governance structure (Stakeholder Management, Change Management, Issue Management, Continuous Improvement)
  • Work closely with technical and business teams to assess impact of issues and provide alternative solutions/recovery plans to ensure goals are achieved
  • Manage work across concurrent initiatives
  • Create management reports to quantify Freddie Mac’s condominium exposure
  • Create Reports in PeopleSoft’s Service Relationship Management (SRM) modules
  • Develop SharePoint (2013) forms, workflow, administration and reporting
  • Developing insights, identifying trends, finding opportunities to increase efficiency and effectiveness
Education Education
Bachelor’s Degree in Economics
Bachelor’s Degree in Economics
University of Delaware
Bachelor’s Degree in Economics
Skills Skills
  • Highly driven, results-oriented, creative and nimble problem solver and a willingness to do “whatever it takes” to deliver business value quickly
  • Ability to communicate well in difficult situations with strong negotiation skills
  • A portfolio or ability to demonstrate capabilities
  • Ability to work in a dynamic, rapidly changing environment
  • Knowledge/Experience in: SAS, Excel, Visio, SharePoint
  • Ability to work independently and with business partners at various levels of the organization
  • Advanced scripting knowledge and experience
  • Knowledge of fixed income products, especially mortgages
  • Strong data and financial analytical skills
  • Excellent interpersonal, team, verbal, written and listening skills
Create a Resume in Minutes
1

Data & Analytics Senior Manager Resume Examples & Samples

  • Analysis & Reporting
  • Perform analyses (using SQL and other analytics tools) that support efficient execution of day-to-day SEM activities and optimization strategies
  • Serve as a subject matter expert for available data elements and analytics capabilities
  • Assist in designing methodologies to attribute offline sales to online media
  • Analyze campaigns and identify key insights such as trends, behaviors and relationships impacting campaign performance
  • Utilize techniques such as market mix models and data mining in relation to the overall objective of maximizing Marketing ROI
  • Lead the design of tests (A/B and other types) to measure the effectiveness of search programs
  • Implementation
  • Perform data mining investigations to find new insights related to customers and behavior
  • Maintain dashboards with KPIs specific to paid and natural search efforts
  • Work with the search marketing team to put analysis into action
  • Integrate multiple data sources in order to develop marketing performance dashboards and campaign attribution models
  • Manage and interact with search platform vendor(s) and search management team to ensure system can deliver on proposed and advanced campaign metrics
  • Bachelors degree in engineering, marketing/advertising, statistics, mathematics, business, management information systems or related field is required, Masters degree is preferred
  • Extensive reporting and analysis experience is required
  • 5+ years of experience working in web analytics and/or digital media analytics in an e-commerce environment is required
  • Experience with search management platforms such as Kenshoo, Marin, DART Search, Omniture Search Center or similar tools is required
  • Experience with media measurement tools including 3rd party ad serving, syndicated research and web analytics, such as Netratings, Comscore, Hitwise, Doubleclick, Atlas, Omniture, Coremetrics, Google Analytics , etc. is required
  • Knowledge and experience with regard to advanced statistics and modeling is a plus
  • Strong math and analytical skills
  • Extensive experience with database and analytics tools such as SAS, SPSS, Clementine, KXEN, Oracle, MS SQL Server, Greenplum, DB2, Teradata, Sybase, MS Access, Excel PivotTables and enterprise business intelligence tools such as Cognos, Business Objects or Tableau
  • Experience in software code development with programming languages such as Microsoft Visual Studio, VB Script and Java Script
2

Performance & Data Analytics Senior Analyst Resume Examples & Samples

  • Bachelor’s Degree in Science, Computer Technology, Mathematics/Statistics, Engineering, Actuarial Sciences or Economics or equivalent experience
  • 5+ years’ of business experience
  • Data analytical skills
  • Knowledge of relational databases and proficiency with SQL and other standard database query tools. (Oracle preferred)
  • Proficiency with statistical/data management tools. (SAS preferred)
  • Proficiency working with data to identify trends, patterns and anomalies
  • Working knowledge of the CitiScreening process preferred
  • Working knowledge of Microsoft Office skills (Excel, Word, Power Point)
3

Data Analytics, Senior Analyst Resume Examples & Samples

  • Identify opportunities to improve productivity of AML alerts
  • Ensure reports are generated and distributed within expected time frames for all business units
  • Bachelor’s Degree in Science, Computer Technology, Mathematics/Statistics, Engineering, Actuarial Sciences or Economics
4

Data Analytics Senior Manager Resume Examples & Samples

  • Data analytics and visualisation products such as Tableau, Spotfire, Qlikview
  • Advanced data analytics, using platforms such as SAS, SPSS, R/S/S+
  • Strong SQL and data manipulation skills
  • Data quality and data cleansing techniques
  • Understanding of the principles of data governance
  • Experience of the UK Financial Services industry
  • Understanding relevant Financial Services regulation (e.g. BCBS, CRD IV, MIFID, EMIR, AML, insider trading, fraud)
  • Advanced MS Excel
  • Understanding of statistical analytics methods and the ability to apply these in the correct circumstances
  • Data modelling and /or data architecture experience
  • Knowledge of database and ETL technologies
  • Experience of business analysis tasks and approaches
5

Data Analytics Senior Manager Resume Examples & Samples

  • Managing projects and project workstreams including project delivery, budget and risk
  • Be an active member of the team on client-facing project work, being self-starting and motivated to produce the required high standard of deliverables
  • Develop and own Data Analytics propositions and delivery methodologies
  • Building and maintaining relationships both internally within the PwC network and externally with clients
  • Supporting sales through working on bids, proposal responses and developing opportunities
  • Establishing credibility both internally and externally through your knowledge, approach, and professionalism
  • Ability to identify and address client needs, including developing and sustaining meaningful client relationships and understand the client’s business
  • Strong analytical and problem solving capabilities
  • Desire to work in an exciting, yet rapidly changing environment
  • Experience and knowledge of the Insurance and/or Asset Management industries
  • Ability to grow a business including ability to plan and shape a project including building project plans and defining budgets and resource requirements
  • Create and build new networks - strong client communication skills and understanding needs
  • Knowledge and experience with Tableau, Spotfire, Qlikview, SAS, SQL
  • Strong stakeholder management and interpersonal skills, including working with different competencies to provide a more valuable solution to our clients
6

Data Analytics Senior Analyst Resume Examples & Samples

  • Incumbent will be a member of a team of analysts and responsibilities will include
  • Address analytical inquiries related to variations in risk drivers and risk parameter estimates of a diverse range of underlying consumer products such as Mortgages, Credit Cards, Personal Installment Loans, Student Loans etc
  • Perform critical User Acceptance Testing (UAT) functions including meticulous analysis of risk parameter results to conclusively ascertain approval/ denial of historical restatement requests into production environment
  • Perform Portfolio Parameter Estimation Analysis, variance analysis and root cause analysis on variances and socialize the results with risk partners
  • Review Cluster Validation reports and analyze Delinquency Band Time series of Probability of Default. Review the analytical results with the Risk Coordinators
  • Drive data quality analysis / data mining / Data Input Prescreening analysis
  • Bachelor's degree in quantitative field such as Mathematics, Statistics, Econometrics, Applied Economics or Finance required. Masters or MBA degree preferred
  • 5+ years Finance or Credit Risk experience
  • Oracle SQL skills required
  • SAS programming skills required
  • Must be able to work with large volumes of data from disparate sources
  • Proficiency in Credit Risk concepts preferred
  • Previous exposure to Basel II or Basel III preferred
  • Consumer banking products experience or exposure is preferred
  • Experience working with a variety of financial or risk platforms
  • Exposure to global processes and teamwork across various locations and cultures desirable
  • Strong interpersonal/communication skills (oral and written) and confidence to work with risk coordinators, model experts, Credit and Operational Risk Analytics group and all levels of management
  • Must be proactive goal-oriented and strategic thinker
7

Data Analytics Senior Analyst Resume Examples & Samples

  • A strong academic record – a degree is preferred
  • Analytically minded and have the ability to assimilate and apply new techniques and knowledge quickly to deliver insights and solve problems
  • Strong team working and team leading skills
  • Experience in delivering analytics and reporting in a relevant industry sector
  • Experience of data extraction, analysis, cleansing, quality and manipulation skills
  • Experience of handling large data volumes (incl. efficiency and scalability concepts)
  • Desire and ambition to be proficient in various analytical tools and systems – specifically MS SQL Server, MS Master Data Services, MS Analytics, MS Reporting Services
  • Comfortable balancing multiple projects and priorities
  • Experience in the health sector performance data would be desirable
  • Experience in delivery of Managed Services would be desirable
8

Data Analytics Senior Associate Resume Examples & Samples

  • Utilization of QlikView, QlikSense, Tableau
  • Performing data analyses from collection through reporting and recommendations
  • Utilization of financial systems, reporting systems, research tools and standard industry practices; and,
  • Reporting results and providing insightful results analyses
  • Analyzing data and identifying trends, anomolies, etc. and developing reporting to highlight key information
  • Partnering with stakeholders to develop and execute various reporting packages and ad hoc reporting requests
  • Designing and developing consistent reporting packages and dashboards using various Business Intelligence (BI) solutions; and,
  • Seeking assignments appropriately to broaden individual experience, and sharing knowledge with others
9

Data Analytics Senior Resume Examples & Samples

  • Building partnerships with Business partners and Finance colleagues to develop technical solutions for reporting and analytic needs using Microstrategy
  • Leading technical training sessions for Microstrategy end users
  • Acting as liaison between the business area and technical team and act as the subject matter expert for assigned project(s)
  • Analyzing business requirements to independently convert them into detailed system requirements and functional specifications
  • Interacting with senior customer personnel on requirements and technical matters frequently requiring coordination across organizational lines
  • Applying project development discipline to all reporting solutions
  • 5-7 years of related experience
  • BS/BA Degree in Finance, Computer Science, MIS or related field
  • 1-2 years of experience with MicroStrategy with a minimum of 3 years’ experience developing MicroStrategy reporting solutions
  • 2-4 years’ experience teaching technical courses, including certification, to customers and partners, including creating course materials
  • Experience with Business Intelligence systems or relational database management systems a plus
  • Strong data and financial analytical skills
  • Ability to quickly understand complex financial concepts
  • History of project level work experience with increased responsibility
  • Organizational skills and the ability to multitask; prioritizing assignments and working independently to ensure work is completed on schedule and meets customer expectations
  • Collaborate in a team environment to produce a quality product
10

Data Analytics Senior Resume Examples & Samples

  • 5-7 years related experience
  • Proficient in working with large-scale business data sets, fluent in scripting and rapid prototyping skills including expertise in technology, including SAS on the Unix platform
  • Operational cash administration, mortgage loan or mortgage backed security operations
11

Business & Data Analytics Senior Specialist Resume Examples & Samples

  • Execute and Coordinate Business & Data Analytics projects requested by business units and functions, ensure continuous service delivery in agreed quality
  • Initiate and support the development of customization of business & data analytics solutions and liaise within the Global Business Analytics team and the global BASF community
  • Document & Track project and team deliverables and produce reports
  • Minimum 2-3 years of experience in business and data analytics in an industrial context
  • Successful implementation of business and data analytics solutions within large corporations
  • Proven track record of delivering cross-disciplinary projects with measurable business impact
  • International working experience and proven track record in working within diverse teams is a plus
  • Good understanding of internal and external data needs in business processes
  • Good communication and interpersonal skills and ability to establish and build sustainable internal and external business relationships
12

Business & Data Analytics Senior Manager Resume Examples & Samples

  • Lead, Execute and Coordinate Business & Data Analytics projects requested by business units and functions, ensure continuous service delivery in agreed quality
  • 3+ years of experience in project management
  • International working experience and proven track record in working within diverse teams Knowledge/Skills
  • Good overview on statistical and mathematical methods for business and data analytics and their industrial application
  • Good understanding of IT system, e.g. SAP, and related data warehouses
  • Superior consultancy mindset with a high degree of flexibility and an ability to learn and adapt to new businesses quickly
  • Excellent project management and collaboration skills
  • Ability to adapt and work within an international context
  • Excellent communication and interpersonal skills and ability to establish and build sustainable internal and external business relationships
13

Data Analytics Senior Resume Examples & Samples

  • Employ extensive professional experience and creativity to resolve complex technical problems
  • Analyze business requirements to independently convert them into detailed system requirements and functional specifications
  • Develop quick apps and reports on vendor hosted BI platform
  • Participate in the full life cycle of an initiative, which includes identification of requirements, prototype, design, development, testing and implementation
  • Work closely with technical and business teams to assess impact of issues and provide alternative solutions/recovery plans to ensure goals are achieved
  • Train and mentor other team members on best practices and past experiences
  • Manage work across concurrent initiatives
  • Ability to positively adapt to rapidly growing and changing environment, while working under pressure
  • Bachelor's Degree or equivalent work experience
  • Experience with databases (Sybase, DB2, SQL Server, Oracle)
  • Previous experience supporting multiple concurrent efforts/projects in various capacities
  • Some application development and support coupled with infrastructure experience
  • Knowledge/Experience in: SAS, Excel, Visio, SharePoint
  • Some experience with Java and scripting language is a plus
  • Knowledge of fixed income products, especially mortgages
  • Excellent interpersonal, team, verbal, written and listening skills
14

Data Analytics Senior Manager Resume Examples & Samples

  • High level of operational knowledge of risk management, testing, data management, data analytics, data architectures, file structures and query utilities
  • A high level of accuracy and attention to detail and the ability to handle multiple priorities is required
  • Strong communication; excellent written and verbal
  • Proficiency in Microsoft Word and Excel
  • Knowledge of Accounting principles and practices
  • Strong level of regulatory compliance requirements and risk management principles
  • 8+ years financial industry experience
  • Demonstrable experience of testing and data analytics
15

Data Analytics Senior Specialist Resume Examples & Samples

  • Operational knowledge of risk management, testing, data management, data analytics, data architectures, file structures and query utilities
  • Solid knowledge of tools such as Hyperion, Oracle Business Intelligence (OBIEE), MS Access, ACL or IDEA, as well as visual analytics packages like Spotfire or Tableau
  • Is capable of writing ACL, SQL and SAS code and operational knowledge of other programming and scripting languages like C++, Perl, visual basic, etc
  • Solid communication; excellent written and verbal
  • Knowledge of regulatory compliance requirements and risk management principles
  • 3+ experience of testing and data analytics
16

Data Analytics Senior Resume Examples & Samples

  • Create and maintain SS&P SharePoint (2013) sites
  • Develop SharePoint (2013) forms, workflow, administration and reporting
  • Assess data quality and data integrity of Freddie Mac and external data. This involves both automated approaches as well as significant amount of manual validation of results
  • Create, modify and execute reports that include incorporating data from numerous disparate source systems (e.g., PS Financials, PS sPro, Purchase Orders, Workday, Fieldglass, PS Supplier Relationship Management (SRM), etc)
  • Understand various data sources related to Procurement and have the ability to consolidate, QC, identify and troubleshoot correction of data anomalies
  • Produce daily, weekly, quarterly and monthly reports to all levels of management
  • Create Business Requirement Documents (BRDs), data dictionaries, data flows and identify improvements in processes that results in more efficient and accurate reporting
  • Create Reports in PeopleSoft’s Service Relationship Management (SRM) modules
  • Train and mentor other team members on best practices
  • Ability to gather and provide information to all levels of Freddie Mac
  • Bachelor’s degree required in Business Management or IT-related field
  • Excellent understanding of MS Office (including MS Excel advanced functions such as pivot tables, VLOOKUP’s, advanced formulas, MS Access, MS PowerPoint and PeopleSoft)
  • SharePoint (2013) site creation, access provisions, forms, workflow and reporting
  • Creation of data analytics and reporting
  • Combining various data from disparate sources into one “cube” of data using SQL, Access etc and create automated reports from the “cube” of data
  • Strong work ethic, team player with organizational skills – self-motivated individual
  • Experience with databases (SQL Server, Oracle)
17

Data Analytics Senior Analyst Resume Examples & Samples

  • Manage tagging specs, implementation and testing (through data validation) of all web properties
  • 3-5+ years of relevant experience in digital analytics, metrics and reporting
  • 3-5+ years in telecommunications or wireless industry is a plus
  • 2+ years of e-commerce experience a company with a large website and a merchandising analytics component
  • Experience with channel attribution experience and experience with digital advertising metrics
  • Experienced with SQL, Adobe Analytics (Sitecatalyst), Tableau or other visualization tools is required
  • Experience with Teradata, Aster, Hadoop, and testing tools (Test & Target) -- Ensighten, DFA/DFP is a big plus
  • Advance proficiency with Excel, Word, and PowerPoint
  • Effective oral and written communication and presentation skills
  • Exceptional logic, quantitative and analytical skills
  • Must be able to plan and manage numerous processes and projects simultaneously
18

Data Analytics Senior Resume Examples & Samples

  • ~ 30% Support the Platform - Maintain and enhance the Microstrategy business intelligence tool and data store used to provide rapid portfolio, program, and project analysis and information. Interface with Freddie Mac engineering and infrastructure teams to ensure consistent performance and availability
  • ~ 70% Data Analysis and Reporting - Analyze data and develop into information. Identify trends, find opportunities to increase efficiency and effectiveness, or compare past trends to current conditions and then communicate relevant conclusions to different levels of management and staff across the company. Apply strong graphic design skills to create executive level visualizations that convey relevant information and knowledge about the project portfolio
  • Bachelor's degree in business, management, accounting, economics, statistics, information science or similar
  • 5+ years of relevant experience and demonstrated accomplishment
  • Advanced knowledge and experience using Microstrategy to produce quantitative business intelligence (level metrics; intelligent cube creation; partitioning, document & dashboard creation; visual insight)
  • Advanced knowledge and experience with command manager scripts
  • Demonstrated experience with multi-dimensional database structures, & good understanding of Slowly Changing Dimensions
  • Demonstrated experience researching and solving problems using industry recognized research methods, statistics, and sampling techniques
  • Demonstrated ability to produce executive level analytics; experience communicating with senior level executives
  • Using ETL tools (e.g. Informatica, Talend, SSIS, SAS) to move, manipulate and structure data in a manner that facilitates optimized analytics in MicroStrategy
  • Crafting optimized SQL queries against a variety of database platforms
  • Data modeling, and schema design optimized for business intelligence and analytics
  • An understanding of portfolio, program, and project management is highly desired
19

Fso-data & Analytics Senior Intern Summer Resume Examples & Samples

  • Establish relationships with client personnel at appropriate levels. Consistently deliver quality client services. Monitor progress, manage risks and ensure key stakeholders are kept informed about progress and expected outcomes. Stay abreast of current business and industry trends relevant to the client’s business
  • Demonstrate capabilities and professional knowledge appropriate for intern level. Demonstrate ability to digest, incorporate and leverage new knowledge. Possess good business acumen. Remain current on new developments in Advisory services, capabilities and industry knowledge
  • Take full responsibility for tasks, including consistent review of own work to identify and improve an approach for producing high quality work products, while working under supervision
  • Build knowledge of Performance Improvement and begin to understand the comprehensive scope of Advisory practices and competencies
  • Demonstrate flexibility and willingness to travel, as well as work in excess of standard hours when necessary
  • Pursuing a bachelor’s or master’s degree in Computer Science or Computer Engineering; minor in Decision Analysis or Business is preferred
  • Strong combined background in Accounting, Finance and Information Technology
  • Application/Database development experience working primarily with Microsoft tool set (SQL Server, VB/.net, MS Access)
  • A strong academic record, including, without limitation, course work that EY deems relevant to this position
  • Flexible and willing to travel as well as work in excess of standard hours when necessary. The ability and willingness to travel is required
  • A valid driver’s license due to travel requirements
  • Proficient in the English language, including the ability to listen, understand, read and communicate effectively both in writing and verbally in a professional environment
  • Demonstrated characteristics of a forward thinker and self-motivator who thrives on new challenges and adapts to learning new knowledge
  • Able to work collaboratively in a team environment
20

Data Analytics Senior Resume Examples & Samples

  • Ability to use various data analysis techniques to collect, explore, and identify the right data to be visualized in a Business Intelligence tool
  • Assists business analysts with finding patterns and relationships in data
  • Experience with Microstrategy or Tableau or other data visualization and BI tools
  • Web page behavior and customer experience analysis
  • Experience in relational database structures, ETL, Big Data technologies, and data visualization workflow/automation
  • Experience using R, Python, or other scripting languages for data prep, analysis, and machine learning
  • MS or above in a quantitative field, such as Computer Science, Engineering, etc. and 3-5 years related experience
  • Web development experience (Javascript/CSS/HTML/D3/Highcharts)
  • Highly driven, results-oriented, creative and nimble problem solver and a willingness to do “whatever it takes” to deliver business value quickly
  • Strong verbal and written communication skills including the ability to develop and deliver presentations to multiple types of audiences. Must be able to interact cross-functionally and drive both business and technical discussions
  • Ability to work collaboratively with key internal stakeholders, external customers, external stakeholders, and vendors
21

Data Analytics Senior Manager Resume Examples & Samples

  • Help companies better understand consumers and how to connect with them across markets and channels, using data and analytics
  • We build, deploy, maintain and scale marketing solutions that reduce complexity and cost
  • Client-facing interaction including providing analyses, recommendations, presentations and advice to clients
  • Understands the strategic direction set by senior management as it relates to team goals
  • Uses considerable judgment to determine solution and seeks guidance on complex problems
  • Determines methods and procedures on new assignments with guidance
  • Decisions often impact the team in which they reside
  • Project-based analytics including but not limited to Marketing Mix Modeling, Multi-Channel Attribution, Digital Analytics, Big Data Analytics, Pricing and Promotion, Trade Analytics, Markdown Optimization, Demand Forecasting, Customer Segmentation
  • Minimum of 9 years of increasing experience in management consulting or industry
  • Minimum of 7 years delivery experience in advanced modeling environment: strong understanding of statistical concepts and predictive modeling. (e.g., AI neural networks, multi-scalar dimensional models, logistic regression techniques, machine-based learning (i.e. Azure, TensorFlow, etc.)
  • Minimum of 7 years expertise with the Microsoft suite (including advanced Excel skills with embedded Pivot Tables & Macros; advanced PowerPoint usage)
  • At least 5 years experience with predictive analytics and BI tools which may include at least two applications from R / Revo R, SAS, Python, Spark, and Tableau
  • Possess a blend of marketing acumen, consulting expertise, and analytical capabilities that can will create value and insights for our clients
  • Experience in professional services negotiations, deal shaping, and pricing
  • Has project management, time management and communication skills necessary to execute the responsibilities and deliver against client expectations
22

Data Analytics Senior Manager Resume Examples & Samples

  • Minimum of 7 years of increasing experience in management consulting or industry
  • Minimum of 7 years delivery experience in advanced modeling environment: strong understanding of statistical concepts and predictive modeling. (e.g., AI neural networks, multi-scalar dimensional models, logistic regression techniques, machine-based learning, etc.)
  • At least 5 years experience with predictive analytics tools which may include at least two applications from R, SAS, SPSS, MATLAB, MicroStrategy, and Tableau
23

Resources Digital Data & Analytics Senior Manager Resume Examples & Samples

  • Strong understanding of different platforms, big data, big data analytics and end to end implementation and solution knowledge
  • Overall understanding of digital industry and its trends and driving the conversations with clients
  • Understanding of big data, analytics and integration
  • Strong relationships with vendors and prior senior client/customers
  • Problem-Solving and Critical Thinking
  • Strong delivery capability: Solution Architecting and Solution Blueprint
  • Must have a Bachelor's degree in Business Administration, Management Information Systems, or a related field, plus 10 plus years of progressive post-baccalaureate experience in the IT consulting industry
  • Experience in natural resources, utility, energy sector a strong asset
  • Must have willingness and ability to travel to meet client needs
24

Life Data & Analytics Senior Specialist Resume Examples & Samples

  • Demonstrated experience providing customer-driven solutions, support or service
  • Demonstrated experience managing/leading projects and/or with technical leadership
  • Extensive knowledge and understanding of data modeling tools
  • Solid knowledge and understanding of data analysis and statistical methods
  • Extensive knowledge and understanding of data governance, data quality and data security principles and best practices
  • Extensive experience with reporting tools and methods; SAS, SQL, Excel Macros/VBA
  • Extensive knowledge and understanding of business analytic frameworks, methodologies, and tools/techniques
  • Extensive knowledge of data mining and warehousing tools and methods
25

Data Analytics Senior Manager Resume Examples & Samples

  • Design value-added data analysis “business cases”, in order to find the appropriate use of data to bring value to all ongoing audit missions
  • Expand the sampling approach of audit missions, targeting a full population analysis when possible
  • Perform data discovery and analytics using Computer Assisted Auditing Tools (CAAT), Spotfire, ACL, Excel, or other internal data analytics tools (i.e. Osmose), as part of specific audit assignments led concurrently by the internal audit teams; advise heads of assignment and supervisors with ways to obtain and use data
  • Proactively identify key data sources and obtain access, feeds, and files necessary to perform data analytics
  • Document, diagram, and present complex/technical material that can be understood by a non-technical audience
  • Contribute to the development of data analytical testing methods (procedures, guidelines, templates, etc.) to promote efficiency, add value, and expand the use of data analysis within Internal Audit
  • Complete assigned projects timely, accurately and professionally
  • Assist facilitating training, learning, and knowledge dissemination events for staff; contribute to data analytics related training and knowledge dissemination strategy for the department, assessing the feasibility of different delivery methods
  • Maintain professional skill level through on-going education and training activities to support company needs. Additionally, provide guidance on data analytical training activities and develop targets to further the competency of the Internal Audit team
  • Undertake other duties consistent with the purpose of the role
  • Experience with some of the following in order to query, transform, and/or present data: Excel, Access, VBA, SQL, Spotfire, ACL, etc
  • Experience working with large complex data sets, drawing conclusions, and reporting findings
  • Proficient in Microsoft Office (Outlook, Word, Excel & Power Point), strong technology and computer skills
  • Ability to work in a team environment; as well as independently
  • Enthusiastic, self-motivated, effective under pressure and willing to take personal responsibility/accountability
  • Equipment Used in Job Performance/Working Environment
  • Personal Computer
  • 10-Key Calculator
  • Photocopy Machine
  • Facsimile Machine
  • Printers
  • Telephone
  • Automobile
  • Minimum of a Bachelor's degree (Data Analytics, Mathematics, Models, Audit, Computer Science, or MIS preferred)
  • At least 1-2 years of experience in a Data Analytics role/function
  • Banking related experience (audit or otherwise) preferred
  • Certified Information Systems Auditor (CISA) or Certified Internal Auditor (CIA) preferred
26

Data Analytics Senior Resume Examples & Samples

  • Use predictive modeling, statistics, trend analysis, and other data analysis techniques to collect, explore, and identify the right condo data to be analyzed from internal and external sources
  • Build datasets for analysis by importing and converting data from various data formats, files systems and relational databases
  • Create management reports to quantify Freddie Mac’s condominium exposure
  • Collaborate with business partners to ensure data quality aligns with business needs
  • Bachelor’s degree and 5 to 7 years’ hands-on experience developing data extraction, data integration, data quality, and data management processes in a SAS environment
  • Database knowledge on DB2, Sybase, Oracle, SQL Server, Access
  • Experience administering SAS and ability to configure SAS to work with multiple data sources and platforms (RDBMS, flat files, etc.)
  • Strong working knowledge of SAS Data Integration Studio
  • 5+ years’ experience designing and developing highly efficient SAS code for use in automated data processing systems on UNIX based platforms
  • Skilled in the MicroStrategy dashboard development
  • Must have project experience with implementing advanced SAS coding techniques to optimize performance and have developed best practices for efficient coding
  • Proficient in working with large scale data sets, fluent in scripting and rapid prototyping skills including expertise in SAS, Command Center, Rapid SQL, etc
27

Data Analytics Senior Resume Examples & Samples

  • Data processing, enrichment, and preparation
  • Qualitative and statistical analysis
  • Developing insights, identifying trends, finding opportunities to increase efficiency and effectiveness
  • Building reports, dashboards, and infographics
  • Working with tools like MicroStrategy, SQL Server, RStudio, Tableau, and SharePoint
  • Presenting strategic insights to executive and other audiences
  • Advanced knowledge and experience using MicroStrategy and/or similar tools to produce quantitative business intelligence (level metrics; intelligent cube creation; document & dashboard creation; visual insight)
  • Demonstrated experience with multi-dimensional database structures
  • Advanced UX or graphic design experience hands on experience implementing business intelligence solutions that apply tenets of interactive design and appealing user interface
  • Hands on ability and experience producing executive level analytics, dashboards, and presentations
  • Ability to demonstrate excellent business analysis and communication skills including communicating to senior level executives
  • A portfolio or ability to demonstrate capabilities
  • A systems thinker that enjoys solving complex problems and excels when challenged
  • Advanced scripting knowledge and experience
  • MicroStrategy v10.x roles Developer and Architect. (Includes Architect, Advance Report Development, Document and Dashboard Design, Visual Insight, MicroStrategy Mobile Apps, Command Manager
  • Crafting optimized SQL queries against a variety of database platforms (MS SQL Servicer, Action Matrix or other MPP databases)
28

Data Analytics Senior Resume Examples & Samples

  • Collaborates with external data owners to ensure source data quality aligns with business needs
  • May build predictive models using data, tests the model on results outside of the sample size and verifies the model in the real world
  • Projects may include: testing strategy development for marketing initiatives, supporting product lifecycle decisions, evaluating product utilization, supporting fraud detection, etc
  • Must possess strong understanding of internal business segment (stakeholders) and may require presentation skills
  • Bachelor's degree in business, management, accounting, economics, statistics, information science or similar field
  • Deep understanding of Freddie servicing data, data models and business processes
  • 5+ years of substantial SAS experience, to include the following products and components – SAS/MACROS,SAS Enterprise Guide 7.1,SAS Grid, SAS/MACROS, SAS/SQL, SAS/ACCESS, SAS/CONNECT, SAS/ODS, SAS DDE, SAS PROCS, SAS/AF, SAS/SCL,SAS Web Report Studio
  • Advanced knowledge and experience using MicroStrategy and/or similar tools to produce quantitative business intelligence (i.e., level metrics; intelligent cube creation; document & dashboard creation; visual insight)
  • Significant hands-on ability and experience in producing executive level analytics, dashboards, and presentations
  • Significant experience crafting optimized SQL queries against a variety of database platforms (e.g., MS SQL Servicer, DB2,Sybase)
  • Strong understanding of data warehouse concepts, tools and ETL scripting
  • Advanced degree in a quantitative discipline such as Math or Statistics
29

Data Analytics Senior Manager / Director Resume Examples & Samples

  • You will define and implement brand new Data Analytics methodology and tools, to support audits
  • You will support the leadership team in the integration of overall analysis, exception reports, data mining, clustering and process mining
  • You will manage demanding audit engagements from a data analysis perspective
  • You will join our motivated, multicultural team at our Geneva’s office
  • We offer you a work environment dominated by a strong team spirit that will allow you to develop both professionally and personally
  • You hold a university degree and have already experienced Project Management
  • You have strong skills in Data Analytics
  • You have strong knowledge in data analytics tools such as Tableau or Qlikview
  • You have strong knowledge in SQL language
  • You have a proven track record in implementing reporting based on data analytics
  • You have a wide experience in different IT environments
  • You have proven experience in international engagements and worked with international teams
  • You work independently, efficiently and are solution-oriented
  • Strong analytical, organizational and interpersonal skills are a requirement
  • Experience in the field of accounting/controlling and/or auditing would be an asset
  • You communicate confidently in English. French and German are an asset
30

Data Analytics Senior Resume Examples & Samples

  • Responsible for providing a consultative approach to key stakeholders (primarily sales) and senior management that delivers timely, accurate and reliable business analytics and reporting
  • Supports Sales C360° MicroStrategy monthly reporting, adhoc reporting, documents, dashboards, and mobile
  • Supports the Customer 360° ‘C360°’ Governance structure (Stakeholder Management, Change Management, Issue Management, Continuous Improvement)
  • Uses statistics, trend analysis, and other data analysis techniques to collect, explore, and identify the right data to be analyzed from internal and external sources, then constructs reports, software systems and algorithms to solve a variety of business problems
  • Must possess strong understanding of business segment and may require presentation skills
  • Requires experience in relational database structures
  • Maintain appropriate documentation for key processes
  • Proficient in MicroStrategy, Excel and other Business Intelligence analytics platform experience
  • Experience with querying, analyzing, reconciling and testing large volumes of complex relational data
  • Typically has a bachelor’s degree and 5 - 7 years related experience
  • Knowledge of the mortgage market
  • Ability to work independently and with business partners at various levels of the organization
  • Ability to work in a dynamic, rapidly changing environment