Remote Investment Data Analyst — AI-Driven Analytics

OhioX

Columbus (OH)

Hybrid

USD 119,000 - 199,000

Full time

4 days ago
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Benefits offered by this job

Medical/Dental/Vision
Life Insurance
Disability coverage
Paid time off
nine paid holidays
401(k) with company match
Pension plan
Business casual attire

Job summary

Nationwide Investments seeks an experienced Investment Professional Data Analyst to shape how data drives smarter, faster decisions in a multi-billion-dollar portfolio. You will build reusable data products powering dashboards, AI workflows, and quantitative tools while collaborating with front-office teams.

The role emphasizes data governance, automation, and scalable analytics in a governed environment, with opportunities to advance analytics architecture and tooling across the investment

Qualifications

  • Proven advanced SQL and data-modeling capability in analytics environments.
  • Hands-on Snowflake and Databricks experience.
  • Practical Python for data engineering and analytics.

Responsibilities

  • Design curated analytic data structures and shared logic.
  • Provide controlled data access via SQL and APIs for analysts and PMs.
  • Build and maintain analytics layer supporting dashboards and tools.
  • Monitor data quality and documentation on enterprise sources.
  • Collaborate with tech teams to align analytics with enterprise architecture.
  • Develop analytics-ready datasets for reporting and models.

Skills

SQL
Snowflake
Databricks
Python
Data modeling
BI tools
Data governance

Education

Bachelor’s degree

Tools

Git
APIs
Documentation

Job description

Nationwide Investments seeks an experienced Investment Professional Data Analyst to shape how data drives smarter, faster decisions in a multi-billion-dollar portfolio. You will build reusable data products powering dashboards, AI workflows, and quantitative tools while collaborating with front-office teams.

The role emphasizes data governance, automation, and scalable analytics in a governed environment, with opportunities to advance analytics architecture and tooling across the investment

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