Top Senior Data & Analytics Jobs in Columbus, OH

Design, develop, test, and maintain SQL-based reporting and visualizations. Create test plans, perform triage and QA, optimize report performance, conduct code reviews, mentor junior staff, and lead technical improvements. Collaborate with product managers and cross-functional squads to deliver customer-facing features, complete bug fixes and enhancements, and provide root-cause analysis and growth/stability projections.

Lead pricing analytics for The Hartford's Personal Insurance, enhancing accuracy, managing a team, and integrating AI capabilities into workflows.

Lead a team in delivering data-driven insights for underwriting and risk selection, managing projects and fostering relationships across business units.

Design, build, and maintain SQL-based reporting and BI features; create test plans and documentation; optimize report performance; perform triage and bug fixes; lead technical improvements; mentor junior staff; collaborate with product and cross-functional teams to deliver customer-facing analytics and reporting solutions.

Lead and grow the analytics team, own analytics strategy, reporting, and data governance. Partner with engineering, product, and clinical teams to deliver actionable insights, drive self-serve reporting adoption, and ensure PHI compliance across reporting pipelines.

Lead global customer master data strategy, governance, and operations. Build and manage a global team to centralize and harmonize customer lifecycle processes, improve data quality, drive large-scale migrations and platform enhancements, and collaborate with stakeholders to implement roadmaps across data, process, applications, and organizational change.

Lead design, build, and support of enterprise reporting and analytic data models (conceptual, logical, physical). Own data warehouse/ODS development, ETL tuning, data governance, gap analysis, documentation, and performance optimization. Engage stakeholders, plan priorities, train teams, and drive automation and tooling adoption to improve reporting efficiency.

Design, build, and maintain scalable ETL pipelines and data integration solutions using SQL Server, SSIS, and Azure Data Factory. Lead logical and physical data modeling, create data marts and operational stores, ensure data quality and governance, optimize ETL performance, and collaborate with stakeholders to translate business needs into enterprise data solutions.

Design, build, and maintain Power BI dashboards and semantic models using DAX and RLS. Write complex T-SQL against Azure SQL, analyze and tune reports, ensure data quality with data engineers, translate business needs into measurable analytics, and support stakeholders across operations, finance, and sales. Contribute to analytics process improvements, governance, and team workflows.

The Senior Data Architect will design and implement data architecture strategies, integrating Oracle EBS with cloud services, overseeing data governance, and collaborating with cross-functional teams to optimize data workflows.