Specialist, Business Insights - Python

Are you passionate about being part of a team that delivers extraordinary care to help individuals and businesses prepare for and protect their retirement? If so, then Nationwide Financial could be the place for you! At Nationwide®, “on your side” goes beyond just words. Our customers are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care.

Our Life New Business team is looking to hire a Business Insights Specialist to help support operations. Apply if interested in creating revolutionary impact on dominant analytics team. Strong SQL, Python, ETL, Tableau/Power BI required. We utilize advanced analytics to solve complex problems, build models and yield valuable insights aimed at elevating our Life Insurance business.

This will preferably be a hybrid role based out of our Columbus, OH location. In office days are Tuesdays and Wednesdays. We are also open to considering remote candidates for the right fit.

This role does not qualify for employer-sponsored work authorization.  Nationwide does not participate in the Stem OPT Extension program.

Compensation Grade: F4

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Job Description Summary

We are a versatile group of individuals, working together to meet the needs of our customers. We value knowledge, analytical aptitude and collaboration. If you thrive in a busy, engaging work environment, we want to know more about you!

As a Specialist, Business Insights, you'll extract and manipulate internal and external data through R/SAS/SQL/Python, perform diagnostic and inferential analysis, and communicate actionable insights to business partners. You’ll also work with business partners to determine data and information needs to aid the business with decision making and build statistical and visual solutions using sophisticated business intelligence tools. And you may serve as a lead to others for information and data needs. Your focus will be to maximize the insight gained from internal and external data, ensuring that business partners are making decisions in an optimally informed way.

Job Description

Key Responsibilities:

• Functions as the specialist in data extraction from databases, tables, data warehouses and other sources through R/SAS/SQL/Python. Develops, produces, and maintains inferential, statistical, ad hoc and custom analyses and modeling for functional business areas. May use various data access tools to pull information for reports and solutions.

• Builds and maintains relationships and serves as a trusted financial and operational measurement resource to clients, internal risk partners and other stakeholders.

• Creates and presents financial and operational results. Ensures that insights are action oriented.  May develop new statistical and visual solutions for relevant insights.

• Consults with business partners to understand, align and deliver work that supports business objectives and priorities.  

• Leverages statistical inferencing when conducting analysis. Communicates significance in findings when working with business partners. May build business intelligence applications using statistical, database and/or general programming languages and tools.

• May assist other associates with preparation of reports and use of information systems, software and related sources of information and may train other users on report preparation and data base access.

• Serves as a single point of contact and consultant for business areas for the intake and prioritization of data, reporting, analysis, and advanced statistical work.

• Leads and serves as a main point of contact for projects. Monitors, reviews and analyzes the external environment to support the research and analysis done with data extracted from internal sources. Presents and discusses these findings with customers.

May perform other responsibilities as assigned.

Reporting Relationships: Reports to Manager/Director and does not have direct reports.

Typical Skills and Experiences: 

Education:Undergraduate studies in data or business analytics, computer science, management information, business, mathematics or related field with post-graduate studies preferred

Experience: Six or more years of related experience with data extraction, data manipulation, data visualization analysis, and problem solving; working with large database. Professional experience in insurance, financial services, or a related industry preferred.

Knowledge, A