Specialist, Data Analytics
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:
1. Responsible for creating, packaging, and communicating analytic work (synthesis) using appropriate
statistical models and medium for relevant insights and applicable data visualizations.Use statistical
techniques to determine patterns and predict future business outcomes and trends.
2. Responsible for effectively synthesizing own project work.Plans and manages execution of own work,
participates in planning, and delivers on commitments.May participate in the development of scope,
risk/control matrix, project timelines, and assignments.
3. Participates in the delivery of analytic work that supports business objectives and priorities.
4. Applies appropriate quantitative techniques and methods to solve business problems. Uses analysis
methods such as classification, collaborative filtering, association rules, time-series analysis, regression,
statistical inference, and validation methods to support business decisions.
5. Responsible for building analytic applications using statistical, database, and/or general programming
languages and tools.Leverage technology for data management, report automation and/or ad hoc
reporting for end users.
6. Actively participate in the creation of reports, including the documentation of issues and observations.
7. Maintain and support data management practices for structured and unstructured data sources.
8. Build and maintain relationships and serve as a trusted analytical resource to clients, internal risk
partners, and other stakeholders.
9. Actively contribute to the continuous improvement of department processes through ongoing initiatives.
10. Performs other duties as assigned.
Qualifications & 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
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.