Top Senior Data & Analytics Jobs in Columbus, OH

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.

Build and operate AndHealth's data ingestion, transformation, and warehouse infrastructure. Own scalable, idempotent pipelines, data quality and observability, orchestration and SLAs, BigQuery performance and cost optimizations, healthcare source integrations, HIPAA-compliant security, and platform-level data contracts and runbooks.

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.

Lead systems analysis, design, implementation, and administration for complex Epic analytics and application environments. Mentor analysts, gather functional and non-functional requirements, coordinate testing and UAT, ensure data integrity and disaster recovery, and collaborate with project managers and stakeholders to meet project goals and improve system performance.

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 facilitate data analysis processes, build data warehouse solutions, design reports and dashboards, and collaborate with stakeholders to enhance business intelligence.

The Scientific Content Engineer develops and maintains knowledge-management systems, focusing on data wrangling and analysis in scientific contexts, ensuring quality deliverables.

The Data Engineer will architect and maintain modern data platforms, manage ETL/ELT pipelines, integrate diverse data sources, and champion data governance while supporting advanced analytics and AI workloads.

Founding sales-intelligence analyst building data models, scoring/prioritizing account opportunities, packaging analysis for non-technical stakeholders, presenting to sales leadership, and iterating with sales and operations to drive pipeline growth.