Data Analytics Specialist Resume Samples
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Data Analytics Specialist Resume Samples
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MF
M Fisher
Mariana
Fisher
89015 Jast Forges
Chicago
IL
+1 (555) 472 8442
89015 Jast Forges
Chicago
IL
Phone
p
+1 (555) 472 8442
Experience
Experience
San Francisco, CA
Data Analytics Specialist
San Francisco, CA
Sawayn Inc
San Francisco, CA
Data Analytics Specialist
- Develops new modeling methodologies and performs analytical review to assess model performance
- Interpreting, presenting the results/insights of the analyzes and driving campaign improvement by providing recommendation
- Collaborate to create new forecasting analysis to deliver to senior management
- Provide input into efficiency opportunities to automate and improve current reporting processes and tools
- Provide various ad hoc and recurring reports to RPS Prepaid senior management and other internal or external recipients
- Assist in preparation of weekly and monthly management reports
- Performs ad-hoc reviews as a result of events, issues or areas of concern and applies discovery analytics to evaluate potential risks
Boston, MA
Business Data & Analytics Specialist
Boston, MA
Braun LLC
Boston, MA
Business Data & Analytics Specialist
- Assist with development of data standards, data mapping, and data management processes to support business execution
- Working with team members to maintain and improve existing analytic platforms
- Creating reports to communicate project and/or operational performance against metrics and supporting or leading training for internal customers
- Working with internal customers to ensure outcomes are consistent with goals
- Work with Cross-Functional Team (Sales, Purchasing, Logistics, Customs, Engineering, Global Operations, IT, etc.)
- Coordinate and support activities to streamline and consolidate existing standalone databases across the enterprise
- Leading or supporting project assignments
present
Phoenix, AZ
Senior Data Analytics Specialist
Phoenix, AZ
Abshire-O'Conner
present
Phoenix, AZ
Senior Data Analytics Specialist
present
- Utilize CB&I systems and tools to develop proactive fraud analytics for high-risk processes to identify fraud, waste, and abuse
- Develop and maintain data analytics that add efficiencies and enhance the effectiveness of fieldwork performed by the audit team
- Work with audit and company resources to identify analytic development opportunities and to enhance existing data analytic routines
- Perform quality assurance testing to verify the accuracy and integrity of the data analytics being developed
- Develop and conduct audit-testing procedures, and review data output to determine if anomalies found in the data represent process issues, or potential fraudulent activity
- Assist the Manager of Forensic Audit and Data Analytics on investigations and special projects as necessary
- For both proactive and reactive casework, perform documented reviews of financial, compliance, and operational data by utilizing CB&I internal software applications and hardcopy documentation
Education
Education
Bachelor’s Degree in Mathematics
Bachelor’s Degree in Mathematics
Temple University
Bachelor’s Degree in Mathematics
Skills
Skills
- Strong knowledge of SQL programming for data extraction and manipulation, including the ability to stage and import large volumes of data
- Strong analytical skills with the ability to be decisive and make strong judgements judgement and the
- Strong analytical skills and problem solving skills (Ability to analyze and report on data)
- Excellent analytical skills with the ability to creatively solve complicated problems in a corporate environment
- Great attention to detail
- Experience of application security, data integrity and system Architecture & design � Data Integrity (scalability, performance, resilience & availability)
- Proficiency in Access, Excel, etc
- Good understanding of Project Management and Systems Development processes
- Ability to work in a networked organization with multi-cultural / cross-team environment
- Demonstrates ability to influence and persuade management regarding control issues
15 Data Analytics Specialist resume templates
Read our complete resume writing guides
1
Anti Money Laundering Senior Data Analytics Specialist Resume Examples & Samples
- Support the design, development, and execution of Spotfire-based visualizations that represent standard or customized offerings across the Enterprise
- Writes high quality code according to accepted standards based on user requirements
- Contributes to successful completion of project deliverables
- Provide internal consultancy and training to the Spotfire user community
- Intermediate knowledge in software application, design, programs, and solutions
- Basic SQL queries and stored procedures and integration with software development
- Basic understanding and knowledge of design and analysis methodology and application development processes from both an industry and BMO perspective
- Intermediate understanding of SDLC and QA requirements
- Hands-on Enterprise Application Integration design/development experience
- Intermediate Java, C++, Python, Ruby Rail, VBA or other languages
- Database skills are nice to have
- Knowledge with Agile development methodology
2
Anti Money Laundering Senior Data Analytics Specialist Resume Examples & Samples
- Recommend: Has the authority to provide and recommend actions to mitigate risk and use judgment-based decision-making regarding AML/OFAC policies and procedures
- Monitoring: Has authority to collect customer data from internal customers to ensure the accuracy and completeness of AML/BSA processes
- Solid understanding of financial math, financial economics and/or statistics, including clustering or factor analysis
- General understanding of transactional elements available within the Bank environment
- Ability to apply defined methodology to monitoring processes utilized to detect suspicious activity
3
Data Analytics Specialist Work Study Resume Examples & Samples
- Collaborate with others within the FVS practice to determine analytics needs within specific projects
- Plan, develop and perform routine analytics procedures to identify unusual trends, patterns and relationships
- Design analytics to solve clients’ specific business needs
- Work with data from multiple systems to identify relationships between the data sets
- Design and build client-facing deliverables within data analysis and data visualization software
- Interest in and aptitude for data analytics/business intelligence
- Technical skills including PC, database and some networking technologies
- Data analysis and problem solving skills
- Experience with ACL, IDEA or Tableau software
- Visual Basic programming
- Advanced Microsoft Excel proficiency
- SQL Server Database
- Microsoft Windows
- Microsoft Office 2010 or 2013
- Some programming
4
Business Data & Analytics Specialist Resume Examples & Samples
- Work with Cross-Functional Team (Sales, Purchasing, Logistics, Customs, Engineering, Global Operations, IT, etc.)
- Proven ability to lead teams to decision point
- Strong experience on data analysis and systems modeling
- Demonstrated strong analytical and problem-solving skills with an attention on detail
- Enterprise Business expertise
- Ability to develop internal and external relationships
- SAP knowledge
- APICS Certification (P)
- Plant Experience (P)
- Divisional Experience (P)
- Advanced MS Excel Knowledge (P)
5
Data Analytics Specialist Resume Examples & Samples
- Excellent Communications Skills: Ability to keep the management team up to date with status, findings and the implications from the work. Escalating at the right time is essential to ensuring challenges are dealt with early
- Team Player: We have a fantastic team and it is really important that you we can operate very effectively alongside all team members
- Client Service Delivery: Exceptional client service is critical to our business and we expect this to be at the heart of how you operate
6
Data Analytics Specialist Resume Examples & Samples
- Graduate or higher education qualification
- Computer Science, MBA, Chartered/certified accountancy qualification or technology auditing experience with a Big 4 accountancy firm
- Experience of application auditing, preferably in an Investment Bank/Broker dealer or Financial Services, or with Big 4 firm accountancy firm
- Experience of data analytical tools to assist audit execution (e.g. ACL, SQL)
- Well-informed on current developments especially in Technology
- Good analytical and decision making skills
- Self-starter and a team player
7
Business Data & Analytics Specialist Resume Examples & Samples
- Analyzing, transforming and visualizing business data to enable actionable intelligence
- Leading or supporting project assignments
- Working with team members to gather requirements, develop, test and deliver analytic solutions
- Working with team members to maintain and improve existing analytic platforms
- Creating reports to communicate project and/or operational performance against metrics and supporting or leading training for internal customers
- Working with internal customers to ensure outcomes are consistent with goals
- A 4 year Bachelor's degree from a college or university
- 3 to 5 years of previous work experience in fields such as purchasing, supply chain, information systems, engineering, product development, or marketing
- Self-starter with strong analytic and organizational skills
- Strong database management, analysis and reporting capabilities
- Strong visualization experience
- Proficiency using Excel and PowerPoint
- Bachelor's Degree in Business, Engineering or Information Technology
- Programming language experience such as JavaScript, Python, R, HTML/CSS, Linux Command Line, and SQL
- Strong oral and written communication skills with ability to lead meetings and focused training events
- Large database management experience using Hadoop or Oracle
8
VP Data Analytics Specialist Resume Examples & Samples
- A professional qualification (e.g. CFA, CISA, Six Sigma Black Belt, etc.) is an advantage
- Good understanding of business processes and technology supporting those processes
- Good understanding of technology risk and controls, preferably within Investment Banking or Financial Services
- Experience of application security, data integrity and system Architecture & design � Data Integrity (scalability, performance, resilience & availability)
- Real-world experience with system development (build, design and/or implementation) is an advantage
- Good understanding of Project Management and Systems Development processes
- Demonstrates ability to influence and persuade management regarding control issues
- Able to multi-task and work to tight deadlines
9
Data Analytics Specialist Resume Examples & Samples
- Communication: design and draft regular reports of progress towards company goals to product groups and senior stakeholders
- Investigation: carry out ad hoc descriptive analysis according to business needs, whether it be potential product opportunities or for debugging
- Professional experience in data analysis and visualization
- Confidence with analytical tools such as R, Python, Stata,or Matlab
- Proven ability to succeed in both collaborative and independent work environments
- Expertise designing and delivering presentations
10
Data Analytics Specialist Resume Examples & Samples
- Gathers time tracking data and develops reports that support the profitability management of accounts in each respective region/office
- Reaches out to WNA offices to gather information when necessary to create the “Escalation” report
- May create tools to analyze the data (or may use excel, access, etc.)
- Analyzes the data gathered and generates conclusions, recommendations and/or strategies
- Presents findings to manager
- Solves problems and recommends improvements to existing processes
- Performs special projects as needed, in areas such as client retention, business development, etc
- May run surveys (i.e. client surveys, WQI, etc.)
- Controls key metrics for management in area of specialization
- May maintain library of documentation
- Bachelor’s degree in a related field or other analytical course work preferred
- Minimum 1-2 years’ related experience
- Strong analytical skills and problem solving skills (Ability to analyze and report on data)
- Proficiency in Access, Excel, etc
- Understanding of the insurance industry - knowledge of terms, codes, procedures and processes
- Strong familiarity with insurance carrier and TPA systems
- Should have excellent organizational skills
- Programming experience, ability to learn programming is beneficial
11
Data Analytics Specialist Resume Examples & Samples
- Fully understand the architecture, capabilities, and limitations of Zale Corp customer and marketing data marts; own the quality control for the databases’ output
- Coordinate data communications between various departments, including Marketing, IT, Operations, the Customer Support Center, and e-Commerce
- Perform queries using structured query language (SQL) through SAS or other query platform
- Map data as needed so that data can be understood and fully utilized
- Evaluate new technology and data application opportunities; suggest improvements with data accuracy and data integration
- Visually express data trends for internal and external stakeholders
- Design reports to assist end users in data-driven reporting
- Conduct/participate in meetings with internal and external stakeholders to identify needs and share capabilities, best practices, and data findings based on results of analysis
- Guide others in using/understanding data correctly
- Bachelor's Degree in, computer science, business analysis, Statistics, Mathematics or related field required. Masters degree is preferred
- 2+ years in a database analyst role in a corporate marketing department, cross-departmental team environment
- Advanced Excel skills (2+ years of heavy usage)
- 2+ years experience with SAS, SPSS, and other analytical/statistical modeling tools
- Excellent analytical skills with the ability to creatively solve complicated problems in a corporate environment
12
Data & Analytics Specialist Resume Examples & Samples
- Technology Benchmarking
- Market Intelligence
- Build strong data knowledge in the assigned primary domain
- Support fellow Domain Analysts to strengthen additional domains
- Design a suitable suite of metrics to support benchmarking and optimization activities
- Deliver compelling Technology Intelligence articles and insights used to form actionable opportunities
- Build & Strengthen key relationships across Technology to support increased actions resulting from Analytics & Insights
- Work with IT segments to perform data discovery and analysis to produce actionable insights
- Responsible for defining and designing measurements and performance targets to measure and improve process Speed, Cost, Quality, Risk that can be internally compared and where applicable externally benchmarked
- Working knowledge of TD's Technology landscape & operating environment is preferred
- Experience with data discovery & Analytics identifying insights
- Experience on Data Modeling / industry Analytical Tools
- Knowledge of processes associated with application solution delivery services and or Technology management practices
- Working knowledge of reporting, analytical tools, methodologies & frameworks
- Experience in contributing to strategy for achieving organization change
- Experience & Knowledge in metric design and implementation
- Experience on Analytical & Visualization Tools, Languages or Platforms like Tableau, R, SAS etc
- Strong critical thinking- ability to decompose complex issues into manageable pieces
- Ability to articulate ideas, share experiences and skills
- Experience supporting a highly complex, multi-tier environment
- Highly flexible and able to quickly adapt to changing priorities. Demonstrates leadership qualities, comfortable working in a fluid, changing environment
- Strong communicator, with excellent oral, written and presentation skills
- Organizational awareness & the ability to balance the viewpoints of various technology teams
- Innovative, flexible and not afraid to take calculated risks
- Ability to multi-task and manage multiple team and client demands concurrently
- Strong team player; comfortable with dynamic work environment
- Adept at building relationships and managing through influence
- Diligent and resourceful in research and information gathering
13
Data Analytics Specialist Resume Examples & Samples
- Computer Science, MBA, Chartered/certified accountancy qualification or data analytics experience
- Prior experience in a data analytics role with hands-on experience working with data
- Strong knowledge of SQL programming for data extraction and manipulation, including the ability to stage and import large volumes of data
- Experience with visualization technologies such as Qlikview/Qlik Sense or Tableau, specifically the ability to stage data from multiple sources, design dashboard content, and develop applications through multiple iterations with users
- Experience of data analytical and mining tools and languages, including SQL Server, SSIS, Informatica, Python, R
- Experience of system development (build, design and/or implementation), preferably in an Investment Bank/Broker dealer or Financial Services, or with Big 4 firm accountancy firm
- Experience of auditing technology risk and controls, preferably within Investment Banking or Financial Services is an advantage
- Understanding IT general controls, including system security, data integrity and system Architecture & design � Data Integrity (scalability, performance, resilience & availability)
14
Applied Data Analytics Specialist Resume Examples & Samples
- MSc or PhD in a relevant technical field (Machine learning, Computer Science, Mathematics…)
- Excellent knowledge of Python for data analysis (Pandas, statsmodels, numpy, scikit-learn, ipython notebooks, tensorflow)
- Experience in data mining and matching different data sources together to get the result
- Experience in statistical modelling (regression modelling, classification, neural nets, time series analysis)
- Familiarity with data visualization libraries (D3, matplotlib, seaborn)
- Self-motivated and responsible
- Strong analytical and problem solving abilities
- Good understanding of numerical algorithms
- Great communication skills with the ability to contextualise topics appropriately for the target audience
- Ability to mentor members of the team in technical areas
- Experience in deployment of machine learning projects in production
- Experience with big data technologies e.g. Hadoop, Spark
- Experience with ELK (ElasticSearch, Logstash and Kibana)
- Experience with public cloud APIs (AWS, OpenStack..)
- Hands-on experience building large-scale software systems
- Able to own and drive a project when necessary
- Experience with a major financial institution
- GPU programming
15
Data Analytics Specialist Resume Examples & Samples
- At least 4 years experience in data analysis
- Proven experience in creating clear, useful data dashboards
- Ability to perform complex strategic analysis
- Knowledge of tools including: R /Python, SQL, Data Visualization, GIS, Excel
- Interest in topics that are at the cutting edge of policy, economics, and planning
- Strong data communication, teamwork, and project management
16
Data Analytics Specialist Resume Examples & Samples
- Driving enterprise risk management through the data perspective
- Detecting risk trends across geographies, processes and functions
- Collaborating with central/decentral IT teams to understand data structures
- Analyzing large structured and unstructured data sets
- Building continuous risk monitoring capabilities and reporting/visualization layer on existing analytics platform
- Supporting audit engagements with enhanced analytics
- Providing standardized analytics to controls and business functions
17
Credit Intelligence & Data Analytics Specialist Resume Examples & Samples
- Maintain credit related master data(5%)
- Perform new credit application, conduct credit analysis, communicacte with commercials, assist in limit application for BU/ platform and FRC when needed(40%)
- Regularly report credit exposures. Prepare monthly credit report(20%)
- Monitor credit limit and provide in-depth credit limit when needed. Perform ad-hoc credit analysis as assigned.(30%)
- Must have strong credit analytical skills and be able to identify issues and risks, establish facts, collect relevant data and draw valid conclusions
- Must be able to build financial models and be able to validate assumptions and communicate the key findings in a succinct way
- Detail oriented with the ability to synthesize detailed information
- Self-starter with the ability to manage workflow and multiple priorities
- Flexible and be able to adapt to changes in a dynamic environment
- High level of energy and initiative with strong capacity for work
- Must be a strong communicator and be able to support a diversified global credit portfolios
18
Data Analytics Specialist Resume Examples & Samples
- Client interaction abilities
- Ability to work with teams
- 5+ years of experience in Data Analytics
- Able to manipulate data & manage reports
- Strong knowledge in Excel & Access
- Bachelor degree from an accredited college or university in related field
19
Senior Data Analytics Specialist Resume Examples & Samples
- Utilize CB&I systems and tools to develop proactive fraud analytics for high-risk processes to identify fraud, waste, and abuse
- Develop and maintain data analytics that add efficiencies and enhance the effectiveness of fieldwork performed by the audit team
- Work with audit and company resources to identify analytic development opportunities and to enhance existing data analytic routines
- Perform quality assurance testing to verify the accuracy and integrity of the data analytics being developed
- Develop and conduct audit-testing procedures, and review data output to determine if anomalies found in the data represent process issues, or potential fraudulent activity
- Assist the Manager of Forensic Audit and Data Analytics on investigations and special projects as necessary
- For both proactive and reactive casework, perform documented reviews of financial, compliance, and operational data by utilizing CB&I internal software applications and hardcopy documentation
- Effectively communicate, in written and oral form, investigative, special project, and data analytic results to the Manager of Forensic Audit and Data Analytics
- During data analytic development work, as well as investigative and special project assignments, identify internal control enhancements, and communicate recommendations to process owners
- Assist the Manager of Forensic Audit and Data Analytics in maintaining the annual fraud risk assessment and forensic audit plan
- Bachelor’s degree in information technology, accounting, finance, engineering, or other equivalent field
- 3+ years of audit or industry related experience
- 2+ years of dedicated data analytics development experience
- Certified Internal Audit (CIA), Certified Public Accountant (CPA), Certified Information Systems Auditor (CISA), or Certified Fraud Examiner (CFE) certification preferred
- Proven ability to communicate effectively, orally and written, and work in a team environment, with above average interpersonal and team skills
- Advanced PC skills with knowledge of Microsoft Office Suite products such as Excel, Word, PowerPoint, and Access
- Aptitude for learning and employing various data analysis and reporting applications such as IDEA, ACL, TOAD, Tableau, SAS, etc
- Ability to travel 10 – 20%, domestically and internationally
- Willingness to comply with the Company’s Business and Legal Compliance policies and the IIA’s International Professional Practices Framework
20
Data Analytics Specialist Resume Examples & Samples
- Develops expertise in transaction monitoring environment and provide prompt and consistent transaction monitoring input as necessary
- Conducts regular quantitative analysis of AML model output to verify model accuracy, efficiency, and effectiveness
- Builds statistical models to test effectiveness of proposed threshold parameters for Rule rewrites
- Analyzes metrics to determine potential improvements required for yield optimization, and develop actions/strategies to enhance detection of suspicious activity
- Ensures that the AML transaction monitoring rules monitor for appropriate high-risk products/typologies
- Creates appropriate and up-to-date documentation of all strategies used for AML and fraud transaction monitoring
- Builds relationships with investigation units, documenting and understanding key feedback
- Performs ad-hoc reviews as a result of events, issues or areas of concern and applies discovery analytics to evaluate potential risks
- Builds relationship with Vendors to escalate code alterations and any parameter changes as required due ineffectiveness of current rules, and/or troubleshoot system glitches
- Assists in user testing of enhancements to AML, OFAC, and the client risk assessment systems
- Maintain ongoing customer review score tracking in Access/SQL databases
- Develops scorecards, metrics, and other line of business-level reporting
- Develops subject matter expertise in various systems and reporting tools
- Assist in preparation of weekly and monthly management reports
- Other duties may be assigned
- 13
21
Data Analytics Specialist Resume Examples & Samples
- 3-5 years of experience in business analytics
- 3-5 years of experience with data warehouse and SQL development
- 3-5 years of experience in the telecommunications field preferred
- Advanced knowledge in Data Visualization/Business Intelligence Applications (Tableau, OBIEE)
- Advanced knowledge of Microsoft Excel, Access, Word, and PowerPoint or equivalents required
- Candidate must be highly motivated, self-starter who demonstrates leadership. Ability to work independently and effectively under tight time constraints and deliver accurate results
- Ability to work for extended hours on critical projects as required
- Excellent verbal and written communication, organizational, and interpersonal skills
- Able to work without close supervision and can communicate and manage priorities effectively to meet deliverables
- BS/BA in business, finance, marketing, or has equivalent job experience. Masters preferred
22
Data & Analytics Specialist Resume Examples & Samples
- Bachelor’s Degree in Mathematics, Computer Science, Statistics, Economics or a related field; Master's preferred
- Strong knowledge of statistical methods and data analysis software, statistics and data modelling; ability to use a variety of data sources, structuring data sets, delivering analysis to a high standard
- Project management experience with progressive knowledge of initiating, planning, monitoring, controlling and closing projects
- Working knowledge of projects/programs with technology deliverables
23
Senior Data Analytics Specialist Resume Examples & Samples
- Lead the design, management and delivery of data analytics projects
- At least 5 years hands-on experience implementing data analytics projects in a banking environment with a proven track record of achieving tangible results and contributing towards business strategy, growth and operational efficiencies. Individuals with practical experience in sales performance management, client segmentation, product campaign design in private banks will have a strong advantage
- Bachelors or Master’s degree in Data Science, Data Analytics or Applied Statistics
- Knowledge and experience in usage of R, Business Objects and SQL is a plus
- Proficiency in Microsoft Office and SharePoint collaboration tools
- Excellent verbal and written communication skills – this position requires individuals with exceptional ability to understand business problems, summarise expectations, translate and explain analytical results and recommendations clearly, and precisely in business terms
- Problem solving skills – ability to assess situations, verify facts, formulate and propose alternatives
- Interpersonal skills – ability to interact with ease, collaborate with diverse teams, establish rapport and build trust
24
Data Analytics Specialist Resume Examples & Samples
- Must have work authorization to work in Singapore
- Excellent university degree in Computer Science, Applied Mathematics, Engineering or Statistics
- Possess 2 to 5 years’ experience in data mining, data analysis, model building, statistical modeling, predictive analytics and machine learning algorithms
- Experience with one or more the following platforms SAS, SPSS, Python, R, Hadoop or SQL
- Proven Java or C++ development skills a must
- Experience building predictive models and implementing them in a production environment is preferred
- Proven record of leadership in a work setting and/or through extracurricular activities
- Ability to work effectively with people at all levels in an organization
25
Data Analytics Specialist Resume Examples & Samples
- Scientific assessments of where data analytics can support our value proposition and business
- Support to New Product Development regarding new opportunities where data analytics can be utilized
- Requirement specifications and data analytics methodology recommendations
- Development of clinical decision support solutions
- Evaluate outcome data to assess the impact and risk of decision support solutions
26
Data Analytics Specialist Resume Examples & Samples
- Connects Data Analytics findings to create recommendations and insights that enable and improve business decisions, strategic view, key marketing performance objectives by
- Analyzing overall BU/program marketing performance, identifying business impact of marketing approaches and audience segments
- Leveraging client, prospect and marketplace information, analytics and analysis techniques to develop observed behavioral based segmentation, to provide data driven client insights and strategies
- Offer consultancy /education to other team members on database topics (how to? Campaign planning, new capabilities, nurture etc etc)
- Consults and Collaborates with Marketing & Communications Teams and Business Units in the strategic use of IBM’s databases and processes to support marketing campaigns (digital and non-digital) execution by
- Leading discussions for understanding the business need and the requirements
- Designing the SQL script and extracting regular / ad-hoc analyses (pre & post campaign) for different teams (Digital, CM, EBU etc) or develop and implement solutions/data bases for getting complex business analyses
- Engaging proactively on testing new ideas/adjusting campaigns based on "near real time" analyses
- Interpreting, presenting the results/insights of the analyzes and driving campaign improvement by providing recommendation
- Design, develops and drive the implementation of advanced functionalities using Marketing Automation to support a Data Driven Marketing Enterprise, such as develop complex flow charts based on new campaign logic maps for response handling, scoring, and nurture
- Demonstrates how Data Analytics findings can be connected to create recommendations and insights that enable and improve business decisions and M&C performance by
- Continuously educating yourself on the new topics with high focus on digital (E.g new data capabilities, new reporting tools, new data base etc)
- Advocating, promoting and providing expertise on the use of data, new models, processes, privacy and tool requirements to the: BU and IMT Leaders, Portfolio Managers, Campaign Managers, Digital Strategist and Events Specialist
- Coordinating the implementation of NWOM pilots/projects focused on data driven capabilities
- Partnering with Geo and WW teams to input requirements into WW and Client Information initiatives (IDM, MPW, DAW, etc )
- Defines and supports leading edge data programs to support the vitality of IBM’s database by
- Identifying, analyzing and improving situation of the new data process or new data flows
- Managing relationship and activities with the involved entities/teams like: data providers, data upload team, tools and process SMEs,
- Reviewing the new data load into the IBM database from data providers
- 3-5 years of marketing experience
- Strong verbal and written communication skills, demonstrated leadership skills, and project management skills
- Deep understanding of marketing data, segmentation, and metrics
- Understanding of direct and digital marketing
- Experience in working with SQL, with DB2 skills, Proficient in use of QMF/SPSS or other Query/Insight tools accessing DB2 databases
- Project and time management
- Business knowledge and Consultative Skills / Problem Solving capability
- Negotiation and Communication skills
27
Data Analytics Specialist Resume Examples & Samples
- Build attribution modeling and reporting to provide guidance to various marketing channel and operations leadership and make informed business decisions, monitor results of strategies, and recommend alternative courses of action, where appropriate
- Build and develop complex queries and dashboards from various source systems, data mine to research traffic and sales trends, gain insights, manage databases and perform analytics to support and propose direction on strategic business decisions
- Research and resolve concerns related to Adobe Reports & Analytics. Elevate issues to Adobe, where necessary
- Consistently evaluate processes and guidelines and provide recommendations to gain efficiencies
- Bachelors Degree in Finance, Accounting, Mathematics, Statistics, Computer Science or similar required. Advanced degrees, i.e. MBA, are preferred
- 4+ years of related analysis experience, preferably in a telecommunications or technology industry
- Knowledge of SQL (preferably Teradata), Adobe Marketing Cloud Tools (Reporting & Analytics), MS Excel, and MS PowerPoint is required
- Experience with MS Visual Basic , .Net, and MS Cubes is a plus
- Detail oriented, ability to reconcile and validate results, ability to gain insights from data and relate findings to business partners and executives, 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
28
High Performance Data Analytics Specialist Resume Examples & Samples
- Work closely with research collaborators and others at PSC to facilitate advances in bioinformatics and machine learning. Examples of possible activities are development of cloud-like workflows and scheduling, support for and/or extension of deep learning frameworks, and/or installation on Bridges of bioinformatic applications
- Support the development of data-intensive workflows, gateways, and machine learning on Bridges and potentially other PSC systems
- Prepare documentation, examples, and training materials, and contribute to PSC’s workshops, briefings, and broad efforts in education, outreach, and training. Develop test suites and best practices, conduct performance analyses, interpret results, and assist with the design, specification, and optimization of relevant systems and software
- Document results, communicating significant findings through publications, conferences, or other professional channels
- Develop research opportunities and attract external funding. Lead or assist with the development of proposals to national agencies, foundations, and other entities, forming interdisciplinary teams as appropriate to pursue opportunities
- Master's degree in computer science or a computational science or computational engineering discipline, or equivalent combination of training and experience
- Three or more years of experience, including academic coursework, in computer science or a computational science or computational engineering discipline and demonstrated success in developing data-intensive workflows and/or applications
- Clear understanding of workflow development for complex, data-intensive applications
- Experience installing, testing, and documenting applications
- Excellent communication, technical writing, and public presentation skills; ability to interact and communicate effectively and courteously with members of the campus community and external contacts
- Ability to apply mastery and broad understanding in a specific field (e.g. machine learning) to practical scientific or technical projects in other fields
- Excellent analytical, technical, reasoning and innovative problem solving skills
- Ability to function well both in a team environment and independently
- Some travel will be required
- Weekend and evening hours may be required
- Doctorate in computer science or a computational science or computational engineering discipline, or equivalent combination of training and experience
- Peer-recognized expertise in developing data-intensive workflows and/or machine learning; substantial personal contributions to publications, awards, and grants for research in these fields
- Experience building large-scale data-intensive workflows
- Web applications and interfaces
- Fluent in C++/C, Python, Java, and/or other relevant languages
- Strong understanding of computer hardware and its performance implications
- Accelerator programming (CUDA, OpenACC, OpenMP)
- Demonstrated ability to plan and execute individual and collaborative research
29
Defined Benefit Administration Data Analytics Specialist Resume Examples & Samples
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Finance or other analytical field preferred
- Demonstrated knowledge of both standard and non-standard benefit calculations
- Strong organizational skills, with the ability to track multiple tasks and issues, set goals and prioritize in a fast paced environment
- Must be able to communicate well with team members and ancillary resources
- Understanding of basic statistical methods
- Programming Skills: This role requires and understanding of programming logic. While no experience with a specific programming language is required, Python programming experience is a plus. Familiarity with SQL will be an important part of the data analyst role
- Strong attention to detail as the conclusions drawn from data analysis will determine participants’ retirement benefits
- Ability to solve problems efficiently while being innovative and creative
- Must be able to function independently
- Strong analytical skills and an understanding of system databases, data elements, and application software solutions to maximize data gathering and data analysis
- Demonstrate an ability to handle a variety of responsibilities under pressure
30
Data Analytics Specialist Resume Examples & Samples
- Working with local/global Marketing Analytics resources, leads projects to develop and implement data analytics decision tools and business case models
- Uses statistical procedures to identify key drivers of growth and profitability of a regional insurance portfolio, and to highlight business issues/opportunities
- Leads teams to optimize multiple models, develops selection criteria as well as related strategies to assist sales promotions and marketing campaigns across insurance customer lifecycle
- Interprets statistical conclusions into business solutions and collaborates for successful implementation in a cross-functional and decentralized global business environment
- Develops new modeling methodologies and performs analytical review to assess model performance
- Provides proactive and innovative customer led recommendations to all sales and distribution channels to maintain existing Business Partner relationships and securing business opportunities
- Assists Marketing and Product Development where needed
- Provides support to global marketing analytics initiatives as needed
- 2-5 years data analytics/data mining experience
- M.S. degree in Statistics, Operations Research, Econometrics, Financial Engineering, Applied Mathematics, or Data Mining
- A high level of skill with data extraction, manipulation, and warehousing tools (SAS, SPSS & SQL)
- Analytic capability with advanced statistics application knowledge (multivariate and discriminant analysis, CHAID, genetic algorithms, multiple and logistic regression) along with a familiarity with optimization techniques including linear and nonlinear programming. Familiar with machine learning techniques
- Strong communication, summarization and presentation skills
- Proven ability to work successfully in a matrix team environment
- High achievement drive
- Ability to multi-task and work well under pressure
- Experience in health care and/or supporting the marketing function a plus
- Intelligence and action-oriented judgment
- Eagerness to accept increased responsibility
- Task competence
- Interpersonal savvy
- Achievement-driven
- Capacity to motivate people
- Courage and resolution
- Trustworthiness and ethical
- Decisiveness
- Self-confidence
- Assertiveness
- Adaptability/flexibility
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Data Analytics Specialist Resume Examples & Samples
- Leverage large amounts of complex, multi-source data to inform day to day management of the Louisiana Medicaid program
- Produce analytical reports on measures and metrics set by departmental priorities
- Prepare code and queries using the Medicaid Administrative Reporting System (MARS) data warehouse or other systems developed or used to track Medicaid data
- Meet with program staff to develop business use questions and translate those questions into data queries and analysis to accurately address the questions
- Translate complex quantitative and statistical analysis for non-technical staff members
- Formulate analytic tasks in support of business objectives, including policy research and development, program design and implementation ongoing operations and outcome evaluation
- Maintains data dictionary by entering and revising definitions
- Maintain a working knowledge of statistical methods, relevant computer software and other technologies requires to perform responsibilities
- Identify and correct systematic data errors (encounter, claims and provider registry data)
- Perform other tasks as directed
- Bachelor's Degree plus 3 years of practical experience in data analytics/analysis, or 6 years of professional experience in statistics, sampling or data analytics in lieu of degree
- Skilled in using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems
- Excellent analytical skills, effective organizational and time management skills
- Strong verbal and written communications skills and ability to communicate technical concepts to technical and non-technical audiences
- Great attention to detail and follow up
- Ability to manage projects, assignments and competing priorities
- Comfortable working in fast-paced environment
- Works well both independently and as part of a team
- Bachelor's degree in computer science or related field which emphasized statistics, sampling or data analytics
- Healthcare related experience
- Professional experience in Medicaid program support
- Professional experience working with insurance or Medicare
- Experience in writing policy
- Experience in reporting and statistical analysis
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Data Analytics Specialist Resume Examples & Samples
- Identify and structure autonomously the useful and relevant data that can be collected through the Group’s HRIS tools pre-launch
- Work in collaboration with BI teams in order to structure the database, test, validate, create the data visualization deliverables and present the new reports to the internal users
- Design, implement and deploy the appropriated reports for the business (Human Ressources, Knowledge Management, Communication, Management) in order to support them in gaining efficiency in their processes and in taking data-oriented decisions
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Data Analytics Specialist Resume Examples & Samples
- Learn direct marketing business, our products and services, and data-driven approach to achieving unique institutional goals of our higher education clients
- Move the company and our clients forward with insights derived from predictive modeling, analytics and conversion rates
- Partner with Strategy Manager, business line leaders and senior management to generate predictive data-driven insights and outcomes connected to client and company goals
- Collaborate to create new forecasting analysis to deliver to senior management
- Provide direct analytical and monitoring support to client-focused account teams
- Use a variety of statistic and analytic tools in support of campaign strategy, results monitoring and client development
- Proactively improve analytic approaches, methodologies, data and reporting capabilities
- Participate in client team meetings and contribute to client-specific program strategies and recommendations based on forecasting analyses
- Bachelor’s degree in an analytical field
- 2 years of experience using analytical, quantitative, problem-solving and conceptual skills
- Experience with statistical and analytical software (R, SPSS or SQL)
- Experience with Microsoft Access and Excel
- Familiarity with large datasets and understanding of data analysis workflows
- Experience creating and delivering compelling PowerPoint presentations to deliver analytic findings to technical and nontechnical audiences
- Professional or educational background in analysis of direct marketing programs, market trends or multi-channel testing strategies
- Experience in a direct marketing environment
- Basic programming skills or experience
- Experience using data visualization tools (Tableau, MicroStrategy or ESRI)
- Excellent interpersonal, verbal, written and persuasive communication skills
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Data Analytics Specialist Resume Examples & Samples
- Computer Science, MBA, Chartered/certified accountancy qualification or data analytics background
- Proven track record in developing database queries or code development required as is demonstrated ability to write SQL queries and analyse large volumes of data Prior experience designing and implementing data marts would be seen as an advantage
- Prior background in a data analytics role
- Working knowledge of data analytical and mining tools and languages, including SQL Server, SSIS, Informatica, Python, R. Practical experience of using machine learning algorithms (e.g. Pandas: Python Data Analysis Library) would be seen as an advantage
- Understanding of visualization technologies such as Qlikview/Qlik Sense or Tableau, specifically the ability to stage data from multiple sources, design dashboard content, and develop applications through multiple iterations with users
- Background of system development (build, design and/or implementation), preferably in an Investment Bank/Broker dealer or Financial Services, or with Big 4 firm accountancy firm
- Background of auditing technology risk and controls, preferably within Investment Banking or Financial Services is an advantage
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Data Analytics Specialist Resume Examples & Samples
- Experience with large, complex spreadsheets; conducting analyses and providing interpretation, required
- Experience with relational databases and providing multi-faceted customer support and follow through required
- Foodservice industry experience
- A Bachelor's degree (BA, BS) required
- Area of Study: Marketing, Finance and Accounting
- 3 years of experience required; 5 years preferred
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Data Analytics Specialist Resume Examples & Samples
- Leverage large amounts of complex, multi-source data to inform day to day management of the Louisiana Medicaid program. Produce analytical reports on measures and metrics set by departmental priorities. Prepare code and queries using the Medicaid Administrative Reporting System (MARS) data warehouse or other systems developed or used to track Medicaid data. Meet with program staff to develop business use questions and translate those questions into data queries and analysis to accurately address the questions. Translate complex quantitative and statistical analysis for non-technical staff members. Formulate analytic tasks in support of business objectives, including policy research and development, program design and implementation ongoing operations and outcome evaluation. Maintains data dictionary by entering and revising definitions. Maintain a working knowledge of statistical methods, relevant computer software and other technologies requires to perform responsibilities. Identify and correct systematic data errors (encounter, claims and provider registry data) Perform other tasks as directed
- Bachelor's Degree plus 3 years of practical experience in data analytics/analysis, or 6 years of professional experience in statistics, sampling or data analytics in lieu of degree. Skilled in using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems. Excellent analytical skills, effective organizational and time management skills. Strong verbal and written communications skills and ability to communicate technical concepts to technical and non-technical audiences. Great attention to detail and follow up. Ability to manage projects, assignments and competing priorities. Comfortable working in fast-paced environment. Works well both independently and as part of a team. Highly self-motivated
- Bachelor's degree in computer science or related field which emphasized statistics, sampling or data analytics. Healthcare related experience. Professional experience in Medicaid program support. Professional experience working with insurance or Medicare. Experience in writing policy. Experience in reporting and statistical analysis. SALARY: Commensurate with qualifications and experience
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Senior Data Analytics Specialist Resume Examples & Samples
- Triages intake of data requests and seek understanding of business need
- Applies knowledge of healthcare and critical thinking skills in the analysis of business request. Makes recommendations for solution/s to solve challenges
- Provides more complex report and data analysis with the help of more senior team members, vendors, and/or other EIS department contacts
- Works closely with application teams to understand workflow, documentation standards and potential gaps. Makes recommendations for closing gaps
- Provides high level expertise to gather concise requirements, interpretation of the findings and translation of the information into a documented business
- Participates in re-engineering, as needed, operational work-flow processes with end-users/business owners
- Fills in on various work/projects in the absence of the Team Lead
- Works closely with report developers (including EDW and other reporting teams)to ensure understanding of data models and design of output
- Will provide subject matter epxertise and training to end-users and junior staff as needed
- Analyze new functionality within new application releases and impact on reports
- As needed, participates in new employee interviews and the on-boarding process
- Able to set and achieve deadlines for self and teammates. Demonstrates leadership and urgency to other project team members. Meets all deadlines. Timely
- Assists the team with identifying cross-functional and integrated project risks. Demonstrates leadership to get the job done on time and above expectations
- Leads assigned projects. Must demonstrate an advanced understanding of project management methodologies and components of project lifecycle
- Build and deliverables demonstrate exceptional ability to address complex end user needs. Demonstrates quality of project management
- Independently manages medium to large scale and complex projects. Collaborates with team members as needed
- Leads and evaluates process and requirements analysis, including process mapping though current flow charts, documents, future needs/plans, requirement
- Proactively promotes and adheres to EIS standards/protocols. Demonstrates expert understanding of all aspects IT, including systems, applications, operations, and support
- Serves as the primary point of contact for vendor support and assistance for larger and more complex projects as well as in resolving increasingly complex or
- Provides clear and organized status reporting on key project areas to be used as external communications to stakeholders. Coordinates team members to gather information and prepare organized, consistent, and accurate status reporting
- Independently provides guidance and leadership on quality assurance and testing initiatives. Demonstrates ability to lead team through complex integrated testing processes. Able to manage testing projects as necessary
- Contributes to strategy discussions by proactively identifying options with associated pros and cons with EIS team members and others
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Data Analytics Specialist Resume Examples & Samples
- Master’s degree in Mathematics, Statistics, Engineering, Computer Science, or a quantitative discipline, or Bachelor’s degree plus equivalent work experience
- Polished written and oral communication skills, with ability to present and clearly explain data to non-technical audiences
- Hands on experience in statistical modeling and other statistical techniques
- Prior exposure to financial services or insurance industry
- Experience with extremely large databases and various types of data (e.g., credit, demographic, geo-demographic, census, and internal transactional characteristics)
- Practical knowledge of statistical analysis software, preferably SAS/R/Python
- Knowledge of Business Intelligence tools preferably Tableau/PowerBI
- Experience working in a multichannel distribution environment preferred
- International experience and language abilities preferred
- Ability to travel periodically
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Junior Data Analytics Specialist Resume Examples & Samples
- Develop advanced statistical models which will allow the independent, continuous, and comprehensive evaluation, planning, and analysis of claims processing
- Review applicable policies and select the most suitable methods of statistical analysis to provide the requested information and appropriate confidence in order to make data-driven decisions
- Translate statistical findings into terms easily understood by laypeople and meaningful to decision makers, managers, and test officers
- Provide expertise in the areas of design of experiments and statistical analysis
- Use statistical software packages, such as SAS or Minitab, to generated test matrices
- Develop models able to determine alpha and beta errors for conducting power and sample size analyses
- Utilize analyses to include t-tests, analysis of variance, F-tests, and homogeneity of variance
- Calculate the confidence intervals and tolerance intervals, when needed
- Deliverables include, but are not limited to
- Models
- Charts and graphs
- Briefs
- Reports
- BS or BA degree in Quantitative Analysis, Economics, Statistics or related field
- Minimum 3 years of experience in the areas of design of experiments and statistical analysis
- Knowledge of statistical principles and theory
- Ability to translate statistical findings into actionable information
- Experience developing models able to determine alpha and beta errors for conducting power and sample size analyses
- Experience performing a variety of statistical analyses, including t-tests, analysis of variance, F-tests, and homogeneity of variance
- Experience using SAS or Minitab (or other statistical packages) for statistical analysis
- Prior experience at Veterans Benefits Administration (VBA), preferably with the Compensation Service
- Past or current VA Access
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Data Analytics Specialist Resume Examples & Samples
- Retire revenue & margin goals by creating & nurturing opportunities on your own or developing others to do the same
- Build a robust pipeline of opportunities that reflect market trends, competitor’s behaviors, and customer dynamics
- Persuade customers on both business and technical merit while differentiating Dell EMC
- Help Dell EMC account teams position the best solution possible: solve it in the best way for the customer and not someone else’s quota
- Orchestrate solution proposal in close partnership with all Dell EMC & partner resources (technology alliance partners, SI, VARs)
- Advise account teams on actions needed to successfully progress opportunities to close
- Orchestrate other resources such as Dell EMC Consulting, Deployment teams, License Specialists, or Alliance Managers
- Develop an ecosystem of providers to deliver solutions such as Sis, VARs, or Technology Partners
- Cultivate relationships at all levels within the customer organization & continuously build social capital
- Enable Dell EMC partners: System Integrators, Value-Added Resellers; and Technology Partners
- Keep up to date on the latest technology in the solution space we represent: data center infrastructure and software
- Understand trade-offs between on-premises and cloud implementations as well as the design considerations for running in production
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Data & Analytics Specialist Resume Examples & Samples
- Insurance and claims background
- Proven experience with analytics and modeling. Not predictive analytics. Must have experience with analysis studies and related it to business. Must be comfortable presenting
- MS Suite, advanced level
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Data Analytics Specialist, Trust Resume Examples & Samples
- Ownership: conceptualize, create, and maintain monitoring dashboards for tracking key metrics
- Experimentation: design and analyze the results of experiments to measure impact of features and new products
- Creativity: refine and improve definition of metrics as the company’s challenges and data evolve
- Engineering: collaborate with data engineers to better log data and manage the timeliness and accessibility of data tables
- Investigation: carry out ad hoc descriptive analysis according to product needs, whether it be potential product opportunities or for debugging
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Data Analytics Specialist Resume Examples & Samples
- Provide various ad hoc and recurring reports to RPS Prepaid senior management and other internal or external recipients
- Collaborate with cross-functional teams to determine reporting needs
- Provide input into efficiency opportunities to automate and improve current reporting processes and tools
- Consolidate and develop written procedures for specific recurring reports and processes
- Five to eight years of experience in computer technology applications and analysis
- Three to five years of experience in project management and leadership
- Requires experience using business intelligence and/or reporting tools such as Excel, Access, SQL Server Reporting Services, Tableau, Microstrategy, Business Objects, or equivalent
- Ability to manage multiple projects/tasks and deadlines simultaneously
- Great attention to detail
- Ability to identify and resolve exceptions and interpret data
- Excellent verbal and written communication skills, including spelling and grammar
- Strong mathematical skills
- Relevant computer skills, including Microsoft Office applications (specifically Excel and Access)
- Familiarity with Microsoft SSRS, Microsoft PowerBI, and Tableau is preferred
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Data Analytics Specialist Resume Examples & Samples
- Build relationships with teams of research analysts, partnering with them to understand key sector debates and identify alternative data sources and analytical approaches to derive insight that would normally be beyond their reach
- Utilize a hypothesis-driven problem-solving approach to design, construct, and rapidly test/iterate solutions, using your knowledge of available statistical techniques and working alongside a team of data scientists
- Lead delivery of AlphaWise projects, managing work efforts and overseeing deliverables across a multi-disciplinary team (analysts, researchers, data scientists and technologists)
- Present highly complex analyses effectively to analyst teams and research management, translating them into insights
- Develop analytical descriptive/predictive models to inform investment debates, using a combination of statistical techniques, in a way that allows them to be scaled and re-used in future projects
- Insatiable curiosity and self-starter mentality who thrives in a changing environment
- 7+ years of data analysis, business strategy or operational consulting experience at a professional services firm, an internal strategy/analytics group or similar environment
- Strong communication skills with the ability to explain technical concepts and analytics-driven findings to senior people, and to explain business processes, concepts, challenges, and issues to technical resources
- Ability to work in a fast-paced environment and juggle multiple projects
- Bachelor’s degree in a technical or quantitative field (master’s or MBA degree is preferred) with working knowledge of topics such as statistics, econometrics, machine learning, operations research and decision science
- Domain expertise in Supply Chain or Pricing is a bonus
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Data Analytics Specialist Resume Examples & Samples
- Data Quality Review for markets in scope
- Preferable specialization or post-graduation started: Economics/Accountancy/Finance
- Understanding of business processes logic
- SAP skills, understanding of transactions in AR, AP, AP, PtP is an important plus
- Basic concepts of knowledge discovery in databases: pre-processing - data mining - result validation
- Knowledge of data processing software, e.g. MS Excel, MS Access, IDEA tool
- Analytical mind-set: ability to understand the story behind the data
- Targeted to find and eliminate root cause of the problem curiosity
- Ability to prioritize, and effectively project manage with stakeholders in different locations and time zones; developed time and self-management skills
- Strong communication skills combined with English upper-intermediate
- Ability to work in a networked organization with multi-cultural / cross-team environment
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Senior Data Analytics Specialist Resume Examples & Samples
- Support the execution of various financial, operational, and compliance audits, projects, investigations and other activities in the Corporate Audit group. The majority of assignments will require support for the collection of data and the performance of advanced analytical procedures
- Bachelor’s Degree in an analytical field such as Computer Science, Data Science, Information Technology, Math, Accounting, Business or Finance
- 4+ years of experience in at least 3 of the following fields: programming, application, database, systems, reporting development, data extraction, visualization, accounting, finance audit, IT audit or finance with a Bachelor’s Degree; or, 2+ years of experience in at least 3 of the following fields: programming, application, database, systems, reporting development, data extraction, visualization, accounting, finance audit, IT audit or finance with an MBA
- Experienced with data acquisition and manipulation, modeling, and analyzing data from core financial platforms (SAP, Hyperion, Enterprise Data Warehouse) and various mainframe systems
- Experience writing Structured Query Language (SQL) using various SQL-development software packages including Teradata and Oracle PL/SQL. Ability to use custom SQL or Hadoop for complex data pulls
- Microsoft Office, particularly Excel, Word and PowerPoint experience
- Experience in Database querying, writing procedures, complex joins and indexes
- Experience using analytics / BI packages (e.g. ACL, SSIS, SAS, Cognos, Spotfire, Tableau, QlikView, Idea) or similar data solution (Business Objects, MS Access), including ability to design and implement canned /ad-hoc reports and complex dashboard solutions
- Enjoys creative problem solving. Ability to apply good judgment and problem solving skills to identify critical risks
- Consistent focus on providing relevant, reliable, timely, and high value deliverables
- Able to work independently as well as part of a progressive, high-performing team
- Excellent interpersonal and communication skills to build relationships within a matrixed environment
- Language skills is a plus
- Project management, internal audit and/or business process experience is a plus
- Certification, such as CPA, CIA, CISA, CISSP or data analytics certifications (e.g. Tableau)
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Data Analytics Specialist Resume Examples & Samples
- Handles and delivers requests for post-market complaint data. This includes global audits, investigations, risk management, metrics, and regulatory requests
- Responsible for creating, maintaining, and archiving reports to support reproducibility and consistency across the organizations
- Support the management of procedures
- Work on special projects as they arise
- Requires a broad knowledge of user computing systems and applications, including programming and analysis
- Strong consultative and communication skills
- Strong analytical skills with the ability to be decisive and make strong judgements judgement and the
- Ability to work effectively with cross-functional teams, internally and externally
- Bachelor’s degree in a related field from an accredited college or university
- Minimum of 3 years of experience in a quality/compliance organization in an FDA-regulated business, requiring an extensive breath of knowledge of support applications and data-mining
- 1-2 years of medical device experience
- 1+ years of experience working with complaint handling
- Must pass pre-employment drug screen and background check
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Senior Data Analytics Specialist Resume Examples & Samples
- Capability of tracking and analyzing a large volume of data
- Strong knowledge of: Excel, Power Point, databases
- Knowledge of BI tools (BusinessObjects /Microstrategy / Tableau or other reporting tools)
- Innovative: suggests system and organization improvements and offers alternative solutions to the different problems that may appear
- Able to take directions and assess business requirements, while proposing and implementing solutions in a skilled, autonomous manner
- Easily adaptable to changes and proposals and feedbacks
- Ability to work in a fast paced environment and manage multiple concurrent projects
- Good presentation skills in order to deliver trainings to the end-users
- Reliable with a high sense of confidentiality regarding the data
