Investment Data Analyst — Hybrid, Power BI & Snowflake

Nationwide Mutual Insurance Company; Columbus, Northern (OH, KY); Hybrid; USD 100,000 - 168,000; Full time

Benefits offered by this job

Medical/dental/vision benefits

401(k) with company match

Pension plan

Paid time off

Job summary

Nationwide Mutual Insurance Company is seeking an Investment Data Analyst in Columbus, OH. You will design, build, and maintain scalable data pipelines and analytics solutions leveraging Snowflake, Databricks, and Power BI.

The role blends hands-on data engineering with business partnership to deliver governed data products for investment reporting and analytics. The ideal candidate will have 6–10 years in data management, strong SQL and Python skills, and experience with BI tools.

Qualifications

• Undergraduate degree required or equivalent experience in data management or analytics.
• 6–10 years in data management, analytics, or investment data related roles.
• Experience with SQL, data warehousing, and data quality across large data sources.
• Ability to translate business requirements into governed, production-ready data solutions.

Responsibilities

• Design, build, and maintain scalable data pipelines and analytics solutions.
• Develop data products for BI, analytics, and AI use cases.
• Collaborate with business and tech teams to translate requirements into governed data solutions.
• Apply AI/ML concepts to support predictive analytics and intelligent automation.
• Ensure data governance, security, lineage, and monitoring across platforms.

Skills

SQL

Python

Power BI

Snowflake/Databricks

Data modeling

Data governance

AI tools

Education

Bachelor's degree in computer science / information technology

Tools

Snowflake

Databricks

OpenFlow

Job description

Nationwide Mutual Insurance Company is seeking an Investment Data Analyst in Columbus, OH. You will design, build, and maintain scalable data pipelines and analytics solutions leveraging Snowflake, Databricks, and Power BI.

The role blends hands-on data engineering with business partnership to deliver governed data products for investment reporting and analytics. The ideal candidate will have 6–10 years in data management, strong SQL and Python skills, and experience with BI tools.