Investment Data Analyst

Role Overview

The Investment Data Management professional will translate investment-business needs into reliable, governed data products and business intelligence solutions. This position combines business partnership with hands-on technical delivery across cloud data platforms, data models, reporting tools, and emerging artificial intelligence capabilities.

What You Will Do

Key responsibilities include designing, developing, and maintaining data models, curated datasets, semantic models, and data products that support investment reporting, analytics, operational processes, and self-service business intelligence.

Why It Might Be a Fit

Success in this role requires balancing hands-on technical execution with strong business partnership. The professional will be expected to produce trustworthy and reusable data solutions, improve the reliability of reporting and analytics, proactively identify data or process risks, and help the Data Insights team expand the practical use of cloud platforms and artificial intelligence while maintaining Nationwide’s standards for security, governance, quality, and accessibility.

Requirements

• Demonstrated experience with SQL, relational data concepts, data modeling, data warehousing, data transformation, and data validation.
• Experience working with Snowflake and/or Databricks, including data storage, compute, processing, notebooks, jobs, dataflows, or related cloud data capabilities.
• Experience developing or supporting business intelligence solutions using Power BI, Business Objects, or comparable enterprise reporting and visualization platforms.
• Working knowledge of semantic models, reusable datasets, measures, reporting layers, and visualization techniques that support accurate and efficient business consumption.
• Familiarity with Python or similar scripting languages for lightweight automation, analysis, testing, or data-quality tasks.
• Ability to learn and apply artificial intelligence tools and techniques in a controlled, practical, and business-focused manner, with appropriate attention to data security, governance, accuracy, and human review.

Benefits

• Medical/dental/vision
• Life insurance
• Short and long term disability coverage
• Paid time off
• Nine paid holidays
• 8 hours of Lifetime paid time off
• 8 hours of Unity Day paid time off
• 401(k) with company match
• Company-paid pension plan
• Business casual attire

Tagged as: Data Analysis