Top Senior Analysis Reporting Jobs in Columbus, OH

Design, build, and maintain scalable cloud data pipelines and warehousing/lake solutions. Advise customers on best practices, lead technical design, mentor engineers, and collaborate with stakeholders to deliver supportable data engineering solutions across cloud platforms.

Lead the Business Insights team to set analytics roadmap and KPI standards, own reporting architecture and data quality, manage analysts, and deliver end-to-end analyses across pricing, inventory, shipping, conversion, workforce, and sales. Own QBR materials, present business cases to senior leadership, and collaborate with Application Development to improve data pipelines and tooling. Hands-on work using SQL, R/Python, and advanced Excel/Google Sheets modeling.

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.

Lead complex BI projects to define KPIs, build internal and client-facing Tableau/Power BI dashboards, enforce documentation and metric consistency, perform data analysis and profiling, create BI strategy and roadmaps, mentor junior analysts, and present insights to cross-functional and executive stakeholders.

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 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.

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