MINIMUM JOB REQUIREMENTS:
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.