As a team member in Finance at Nationwide, a Fortune 100 company with nearly $70 billion in annual sales, the opportunities are endless! Let Nationwide help create your career journey! 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.
The hired associate must reside within 35 miles of the following location:
Columbus: One Nationwide Plaza, Columbus OH, 43215
Work schedule: 2 days in office, 3 days remote.
This role does not qualify for employer sponsored work authorization. Nationwide does not participate in the STEM OPT extension program.
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Job Description Summary
Do you thrive on making sense of complex data and transforming it into insight that drives business impact? Are you energized by working at the crossroads of analytics, technology, and investment strategy? If solving challenging data problems in a highly collaborative, mission-driven environment excites you, this is the job for you.
As a Consultant, Investment Professional Data Analyst, you will play a critical role in shaping how Nationwide Investments leverages data to deliver smarter, faster, and more consistent decisions. You’ll build the analytic structures and reusable data products that power front-office dashboards, AI-driven workflows, and quantitative tools. You’ll apply your technical expertise and collaborate with your team to design high-impact solutions that matter in a multi-billion-dollar investment portfolio environment.
Job Description
Design curated analytic data structures and shared business logic, including sectors, ratings, strategy tags, benchmarks, and other core dimensions, in partnership with Data Governance and Data Management.
Provide controlled, reusable data access through SQL, APIs, and related interfaces for quantitative analysts, portfolio manager, enterprise portfolio managers, reporting teams, enabling a consistent source of truth for investment analytics.
Build and maintain the analytics and semantic layer that supports front-office dashboards, quantitative tools, and research workflows.
Monitor and improve the quality, consistency, and documentation of analytical data