Nationwide is seeking a Senior Analyst, Data Science to join its Customer Insights & Analytics (CI&A) Optimization team. This individual will participate in analytical workstreams to help develop customer insights to identify opportunities for enhancing customer retention and growth. As a member of the CI&A Optimization team, this individual will analyze prospect and customer trends, utilize advanced analytics to identify opportunities, and partner in building recommendations to optimize desired outcomes (e.g.: sales funnel performance, member retention, customer experience, etc.), largely through test and learn implementations. This person will also be responsible for helping to improve operational business processes to inform acquisition activities currently owned by external vendors. Additionally, this person will play an integral role on a team reshaping customer-centric thinking and execution across the enterprise.
JOB SUMMARY: Participates in all phases of analytic lifecycle. 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. Committed to learning, development, skill maintenance, and personal improvement.
RELATIONSHIP: Reports to Director/Manager
+ Responsible for creating, packaging, and communicating analytic work (synthesis) using appropriate medium for relevant insights, including impactful story line and applicable data visualizations.
+ Responsible for effectively synthesizing own project work
+ Participates in the delivery of analytic work that supports business objectives and priorities.
+ Plans and manages execution of own work, participates in planning, and delivers on commitments
+ Applies appropriate quantitative techniques and methods to solve business problems.
+ Responsible for building analytic applications using statistical, database, and/or general programming languages and tools.
+ Performs other duties as assigned.
Education: Undergraduate studies with post graduate studies preferred.
Experience: Typically 1-3 years related experience with SAS, SPSS and other statistical software. Experience with problem solving in a business environment; working with large customer and/or prospect databases; working with product, geographic, demographic data to identify trends and opportunities.
Knowledge: Experience with financial services or related industry. Consulting experience, knowledgeable and experienced with the core functions of an organization (call center, billing, finance, sales, marketing, product, pricing, etc), experience with process design and mapping and continuous improvement.
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. Modeling and Machine Learning: Experienced with advanced mathematical modeling techniques including both supervised and unsupervised learning algorithms. Proven experience building practical solutions using predictive modeling. Demonstrated knowledge of and experience with design of experiments. Ability to understand business systems (processes) and the data produced by them - (how did the data get produced and is it a valid representation of the outcome being studied). Demonstrated experience structuring and solving complex business problems. Ability to translate analytic findings into actionable communications. Ability to communicate effectively in a variety of mediums with any audience. Capable of developing compelling stories and distinctive data visualizations Working knowledge of statistical software including R, SAS, SPSS, MatLab, etc. as well as 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.
Values: Regularly and consistently demonstrates the Nationwide Values and Guiding Behaviors.
Staffing Exceptions to the above minimum job requirements must be approved by the: VP and HR VP.
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 Evaluation Activity: 11/2012 CB, PYC
Job Function/Family: MKT/DSC
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