Top Data & Analytics Jobs in Columbus, OH

Drive technology risk reporting and analytics for ERM: analyze risk datasets, build Power BI dashboards, integrate IT/IS/third-party data, assess controls using industry frameworks (COBIT, NIST, ITIL, DCAM, DMBOK), support RCSA, and advise business units on risk mitigation and control improvement.

The VP of Salesforce & Marketing Technology leads the strategy and execution of Salesforce and marketing technologies, ensuring integration and compliance to enhance customer engagement and business outcomes.

Query, analyze, and summarize complex healthcare datasets to support strategic decisions. Develop and maintain decision-support tools and models, ensure data accuracy and integrity, conduct research on industry trends, and present findings and recommendations to senior management.

Build, maintain, and improve Python- and SQL-based data tools, pipelines, and dashboards to support production planning and scheduling. Automate manual planning tasks, ensure data accuracy across ERP systems, prototype AI-assisted decision-support tools, and partner with operations to analyze demand, capacity, and production performance.

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.

Lead development of annual market models, conduct deep-dive market and customer analysis, create measurement plans, build and maintain datasets and Power BI dashboards, present insights to senior leadership, track market share, and drive cross-functional alignment for strategic initiatives.

Lead onboarding, mapping, and validation for a Customer Data Hub: write user stories and acceptance criteria, define mastering/transformation logic, perform data lineage and reconciliation, validate integrations and outcomes, support production incidents, create runbooks and documentation, and partner with product, engineering, QA, and governance teams to enable reliable customer data for applications and analytics.

Lead design and delivery of enterprise MDM/PIM solutions, architecting data models, integrations, governance, and data quality to produce AI-ready datasets. Advise clients, mentor teams, deploy platforms (Informatica, Stibo, Reltio, Syndigo), integrate with cloud data platforms, and ensure metadata, lineage, and testing for reliable analytics and AI use.

The Analytics Engineer will build and maintain data models, partner on ETL pipelines, and ensure data quality for analytics. They will also work closely with business stakeholders to develop governed metrics and enable self-service analytics across the organization.

The Data Steward monitors and resolves issues with accounting and insurance policy systems, ensuring data quality and compliance with statutory principles. Responsibilities include reconciliations, reporting, and assisting in month-end closes.