Nationwide Mutual Insurance Company
Nationwide is seeking a Data Analytics Specialist to join its External Anti-Fraud Team. This individual will be helping build predictive analytic solutions. Qualified candidates will 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 may be involved with external data analytics across a variety of enterprise functions, which includes Underwriting, Claims, and Product.
JOB SUMMARY: Actively participates in all phases of analytic lifecycle supporting the business unit. Analyzes trends and patterns in structured and unstructured data in support of business problem solving. Identifies and communicates meaningful insights and provides input to the project team and business stakeholders. Will help align findings and insights to deliver business appropriate recommendations. May lead small projects.
REPORTING RELATIONSHIPS: Reports to Director/Manager/Consultant
CORE JOB DUTIES AND RESPONSIBILITIES:
MINIMUM JOB REQUIREMENTS :
Education: Undergraduate studies in statistics, mathematics, analytics or related field with post graduate studies preferred.
Experience: Typically 5 or more years related experience with ACL, SAS, SPSS and other statistical software. Experience with analytical problem solving; working with large structured and unstructured data sets and databases to identify trends and opportunities. Professional experience in insurance, financial services or a related industry preferred.
Knowledge: Understanding of and knowledge to conduct various statistical, econometric, quantitative analysis techniques. 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 core 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 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 the audience and helps them understand and retain the message.
Time Management – is able to plan and prioritize tasks, uses time effectively and efficiently, and can work on multiple concurrent projects.
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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