Hiring: Data Analyst, Investment Professional Company: Nationwide Location: Columbus, OH Job Posted Time: 2026-09-11 13:46:59 Employment Type: Remote Target Skills & Keywords : Capital Markets, Data Pipeline, Data Warehouse, Databricks, Enterprise Architecture, Git, Pandas, PySpark, Python, SQL, Snowflake About the job Experience: •Proven advanced SQL and data-modeling capability with experience building complex queries and robust analytical data models. Hands-on experience with Snowflake and comfort working in modern analytics environments such as Databricks. •Staffing exceptions to the above must be approved by the hiring manager’s leader and HR Business Partner. •Other criteria, including leadership skills, competencies and experiences may take precedence. •Staffing exceptions to the above must be approved by the hiring manager’s leader and Human Resource Business Partner. •Regularly and consistently demonstrates Nationwide Values. Required Skills: •Design curated analytic data structures and shared business logic, including sectors, ratings, strategy tags, benchmarks, and other core dimensions, in partnership with Data Governance and Data Management. •Provide controlled, reusable data access through SQL, APIs, and related interfaces for quantitative analysts, portfolio manager, enterprise portfolio managers, reporting teams, enabling a consistent source of truth for investment analytics. •Build and maintain the analytics and semantic layer that supports front-office dashboards, quantitative tools, and research workflows. •Monitor and improve the quality, consistency, and documentation of analytical data and reports that sit on top of enterprise golden sources. •Support data needs for AI and agentic workflows in a governed, auditable way, including input/output structuring and data persistence. •Partner cross-functionally with Technology and platform teams to align the analytics layer with enterprise architecture, including Snowflake, Databricks, and Aladdin. •Support continuous improvement of data, tooling, and reporting processes across the investment analytics function. •Build analytics-ready datasets and reusable data products for reporting, research, quantitative models, and evolving AI-enabled workflows, rather than one-off extracts or bespoke data pulls. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!