Investment Data Analytics Specialist — Hybrid (Remote)

Nationwide Mutual Insurance Company; Columbus (OH); On-site; USD 100,000 - 168,000; Full time

Benefits offered by this job

Medical/dental/vision

401(k) with company match

Pension plan

Paid time off

Job summary

Nationwide Mutual Insurance Company in Columbus, OH is seeking an Investment Data Management professional who will translate investment‑business needs into governed data products and BI solutions. You will work across cloud data platforms, data models, and reporting tools, applying AI capabilities to improve productivity while maintaining security and governance.

The role involves designing data pipelines, developing semantic models, and delivering trusted data products for investment reporting

Qualifications

• Experience delivering data products and analytics in investment data management or financial services.
• Strong understanding of data governance, lineage, and quality in enterprise environments.
• Ability to translate business needs into governed data solutions and BI deliverables.

Responsibilities

• Design, build, and maintain data models, datasets, semantic models, and data products.
• Develop and support data pipelines, dataflows, notebooks, jobs, and automations; diagnose failures.
• Create and maintain universes, reports, dashboards, and analytics with standards.
• Develop Snowflake/Databricks data solutions and Power BI datasets for investment reporting.
• Collaborate with business users and Technology to define requirements and sequence delivery.

Skills

Data modeling

Python

SQL

Power BI

Cloud data platforms

Data governance

Data profiling

Education

Bachelor's degree in Computer Science, Information Systems, or related field

Tools

Snowflake

Databricks

OpenFlow

Spark

Power BI

Job description

Nationwide Mutual Insurance Company in Columbus, OH is seeking an Investment Data Management professional who will translate investment‑business needs into governed data products and BI solutions. You will work across cloud data platforms, data models, and reporting tools, applying AI capabilities to improve productivity while maintaining security and governance.

The role involves designing data pipelines, developing semantic models, and delivering trusted data products for investment reporting