Senior Investment Analytics Engineer

Nationwide Mutual Insurance Company; Columbus (OH); Hybrid; USD 127,000 - 213,000; Full time

Benefits offered by this job

Medical/dental/vision

Life insurance

Paid time off and holidays

401(k) with company match

Job summary

Nationwide Mutual Insurance Company seeks a Senior Data Analyst, Investment Professional who will shape data assets for front-office analytics in a multi-billion-dollar investment portfolio. You will design analytic structures, implement data governance, and deliver reusable data products for dashboards and AI workflows.

The role requires advanced SQL, Python, and experience with Snowflake/Databricks, plus data-modeling excellence and collaboration across teams.

Qualifications

• Bachelor’s degree in computer science, information systems, data analytics, mathematics, engineering, or a related field.
• Extensive experience building and supporting analytical data environments.
• Proven SQL, data modeling, and data governance capabilities.

Responsibilities

• Design curated analytic data structures and shared business logic for investment analytics.
• Provide controlled data access via SQL and APIs for quantitative analysts and portfolio teams.
• Build and maintain analytics layers powering front-office dashboards and AI-enabled workflows.

Skills

Advanced SQL

Data modeling

Python (pandas PySpark)

Analytics engineering

Cross-functional communication

Education

Bachelor’s degree in computer science, information systems, data analytics, mathematics, engineering, or related field

Tools

Snowflake

Databricks

Power BI

Tableau

Git

APIs

Job description

Nationwide Mutual Insurance Company seeks a Senior Data Analyst, Investment Professional who will shape data assets for front-office analytics in a multi-billion-dollar investment portfolio. You will design analytic structures, implement data governance, and deliver reusable data products for dashboards and AI workflows.

The role requires advanced SQL, Python, and experience with Snowflake/Databricks, plus data-modeling excellence and collaboration across teams.