Data Analytics Director

Nationwide Mutual Insurance Company

Nationwide is seeking a Director, Data Analytics to join its External Anti-Fraud Team. This individual will be accountable for building advanced predictive analytic solutions. The candidate must be able to demonstrate proficiency with Statistical Trade Tools (R, Python, & SQL) and Data Analytic Tools (Minitab, Tableau, TD SQLAssistant, NEXUS, SAS, and SPSS). As a member of the Predictive Analytics Team, this individual will be accountable for all external data analytics across a variety of enterprise functions, which includes Underwriting, Claims, and Product. In addition, this individual will provide statistical consulting services to enterprise partners and will have accountability for building our Enterprise External Anti-Fraud Data Analytics’ Road Map.

JOB SUMMARY: Leads a team responsible for providing business analytics services to business units. This position structures and leads large complex analyses across one or more business units and effectively synthesizes analytic results to improve business outcomes, support decision-making at executive levels, and enable process improvements. Responsible for growing and evolving the data management and analytics profession to maximize effectiveness. Responsible for the business unit analytics strategy or project portfolio.

REPORTING RELATIONSHIPS: Reports to the AVP/VP level or higher. Responsible for 3 or more professional level direct reports. May be responsible for matrix reporting relationships and virtual teams.


  • Directs a team responsible for creating, packaging, and communicating analytic work (synthesis) using appropriate medium for relevant insights and applicable data visualizations. Use statistical techniques to determine patterns and predict future business outcomes and trends.
  • Responsible for effectively synthesizing the work of team members.Work spans more than one project or focus area.Plans and manages execution of work including defining project scope, schedule, resource requirements, and delivery timelines. Lead the development of scope, risk/control matrix, project timelines, and assignments.
  • Directs the development of analytic strategies for the business unit. Consults with business partners to understand, align, and deliver analytic work that supports business strategies.Manages partner expectations.
  • Directs the application of appropriate quantitative techniques to facilitate repeatable research.Leads the optimization of analytical methods throughout the business unit, such as classification, collaborative filtering, association rules, time-series analysis, regression, statistical inference, and validation methods to support business decisions.
  • Ensures analytic applications are aligned to business needs and support objectives.
  • Directs associate management including: performance management, salary planning and administration, training and development, workflow and organizational planning, hiring and placement, and disciplinary actions.
  • Review analytic work papers and provide meaningful feedback and coaching throughout.Provide coaching and feedback to project team associates.
  • Build and maintain relationships and serve as a trusted business advisor to clients, internal risk partners, and other stakeholders.Create partnerships across the enterprise to enhance organizational analytics capabilities.
  • Actively contribute to the continuous improvement of department processes through ongoing initiatives.
  • May be responsible for acting as the technology owner (e.g. applications, systems, software, etc.) for data analytics.
  • Performs other duties as assigned.

    Education: Undergraduate studies in statistics, mathematics, analytics or related field with post graduate studies preferred.

    Experience: Typically 10 or more years’ experience in data warehousing, statistical analysis and queries; including leadership experience. Detailed experience with analytical problem solving; working with large structured and unstructured data sets and databases to identify trends and predict opportunities. Professional experience in insurance, financial services or a related industry preferred.

    Knowledge: Advanced understanding of and knowledge to conduct various statistical, econometric, quantitative analysis techniques. Advanced understanding of and working knowledge to conduct data management and extraction of large analytical platforms. Knowledge of quantitative theories and techniques and their role in business context. Relevant Property and Casualty industry or business knowledge is preferred.

    Knowledge of statistical software and databases such as ACL, R, SAS, SPSS, MatLab, Teradata, Oracle, DB2, SQL Server, Netezza, etc. Understands data structures operational vs analytical data structures, normalization, etc. and SQL Assistant, WinSQL, and Toad, etc. Knowledge of general purpose programming languages (Python, Java, C++, etc) including domain specific languages, static and dynamic languages, application design and development, test driven development, and agile practices. Possesses an understanding of various operating system platforms (i.e., Windows 200X, UNIX, OS/400, etc.); relational database security concepts and platforms (i.e., Oracle, Microsoft SQL Server and DB2); enterprise network and systems architecture concepts and technologies; SDLC and generally accepted IT project management methodologies and approaches; and information security/protection concept.

    Skills/Competencies: Possesses advanced statistics skills including an understanding of probability and its application to the analysis of data. Able to evaluate sources of variation and identify influential factors/features. Experienced with statistical process control, process monitoring and diagnostics. Ability to conduct data manipulation and analyses using analysis methods such as classification, collaborative filtering, association rules, time-series analysis, regression, statistical inference, and validation methods. Ability to understand business processes and the data produced by them. Capable of developing distinctive data visualizations.

    Critical Thinking and Problem Solving – uses rigorous logic and methods to solve difficult and undefined problems with effective solutions, probes different sources for answers, and can see hidden problems.

    Communication – is able to clearly and succinctly communicate information and ideas through a variety of media in a manner that engages executives at all levels and helps them understand and retain the message.

    Time Management – is able to plan and prioritize tasks for a team can plan and prioritize resources for multiple concurrent projects.

    Strategic Agility / Adaptable to Change – can anticipate future consequences and trends, has broad knowledge and perspective, is future oriented, and can paint credible visions of possibilities and likelihoods.

    Values: Regularly and consistently demonstrates the Nationwide Values and Guiding Behaviors.

    Staffing Exceptions to the above minimum job requirements must be approved by the: hiring manager’s leader and HRBP.


    Overtime Eligibility: Not Eligible (Exempt)

    Working Conditions: Normal office environment. Extended and non-standard work hours based on project and customer deliverables.

    ADA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.

    Job Family/Function: ADM/DAN

    Job Evaluation Activity: Evaluated 9/2016 SNG


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