Top Senior Data & Analytics Jobs in Columbus, OH

Design and implement enterprise-level data models, governance, metadata management, and data quality processes. Lead selection and deployment of data tools, ensure regulatory compliance, support application rollouts, and coach staff while collaborating with stakeholders to deliver the data architecture roadmap.

Lead execution of enterprise data governance: drive roadmap and KPIs, run a Data Steward Council, operationally own the data catalog, extend semantic models, coach stewards, and partner with engineers to improve metadata, data quality, and governance adoption across domains.

Lead data stewardship and quality efforts across large datasets in retail banking. Analyze, profile, document, and resolve data quality issues; develop reusable automated routines for extraction and reporting; present analytic results; collaborate with stakeholders to certify metadata and ensure data completeness.

Design, build, and operate enterprise-scale data ingestion and transformation pipelines in Microsoft Fabric/Azure. Lead legacy migrations, implement data quality, monitoring, and governance, optimize pipelines for performance and cost, onboard data domains, and prepare high-quality data assets for Power BI and downstream analytics while documenting standards and collaborating with cross-functional teams.

Design and implement data integration/ETL, data quality, metadata management and migration solutions using Informatica. Lead ETL design, mappings, transformations, scheduling, performance tuning, and mentor developers while engaging client architects and stakeholders. Work with multiple databases and industry data models; insurance product experience is a plus.

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.

Support Category Planning by producing recurring reports, responding to ad hoc requests, maintaining dashboard health, triaging data pipeline issues, documenting SOPs, performing QA/variance checks, and delivering insights to inform commercial decisions while building analytics skills.

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.

Lead architecture and implementation of critical data pipelines and platform components, set technical standards, mentor engineers, own orchestration reliability, partner on roadmap, evaluate new tools, and ensure PHI compliance across data systems.