Top Data & Analytics Jobs in Columbus, OH

ETL Developer to design, build, and maintain data integration processes using Ab Initio. Requires 4-5 years industry experience and 1-2 years working with Ab Initio. Experience with Open Text Dialogue or Quadient GMC Inspire is a plus.

Develop, maintain, and troubleshoot ETL/data-integration jobs using Ab Initio, with backend support on Oracle and UNIX. Optimize performance, collaborate with teams, and support deployments and production issue resolution.

Onsite Data Architect role in Columbus requiring advanced MS SQL Server skills, ETL/data transformation and data extraction tool experience. Must have a four-year degree or equivalent and be available for local, in-person interviews.

Develop and maintain Spotfire dashboards and DQ metric reports. Perform data analysis, data modeling, and database design. Troubleshoot database integrity and performance issues. Write complex, high-performance T-SQL procedures and views. Support data governance and deliver reliable, maintainable analytics solutions.

Lead Cognos architecture and implementation for an enterprise Oracle data warehouse. Design data marts, cubes, security, HA/disaster recovery, performance tuning, migration strategy from Hyperion/Brio, mentor client staff, and define version control and deployment approaches. Work onsite full time.

The Business Analyst will study business functions, gather information, analyze system requirements, document procedures, and provide user support and training.

The Sr Business Analyst will develop requirements for Master Data Management RFP, collaborate with technical and business teams, document data standards, and assist in implementation and training efforts.

The role involves data analysis, comparing data across different systems, and making informed business decisions with minimal supervision.

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 enterprise Microsoft Fabric data architecture, landing-zone design, governance, security, integration, semantic modeling, DevOps, and AI-ready platform delivery. Design scalable Lakehouse and Warehouse solutions, establish standards and operating models, guide Power BI and data engineering practices, automate deployments, and provide technical leadership across architecture reviews, discovery workshops, and implementation. The role requires deep Azure, Fabric, data engineering, security, and enterprise integration expertise.