Top Senior Analysis Reporting Jobs in Columbus, OH

Lead and build a product analytics function: define KPI framework, instrumentation, and self-serve analytics using Pendo and BI tools. Partner cross-functionally to measure product performance, surface insights, influence roadmap and embed AI-powered analytics into product lifecycle.

Serve as a techno-business SME for reporting and BI tools, using Dataiku, SQL, Tableau, MicroStrategy and Excel to improve analytics. Train teams, drive self-service adoption, lead projects to expand BI ecosystem impact, develop advanced solutions, solve complex problems and mentor junior analysts.

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.

Lead a team in delivering data-driven insights for underwriting and risk selection, managing projects and fostering relationships across business units.

Lead global customer master data strategy, governance, and operations. Build and manage a global team to centralize and harmonize customer lifecycle processes, improve data quality, drive large-scale migrations and platform enhancements, and collaborate with stakeholders to implement roadmaps across data, process, applications, and organizational change.

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 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.

Provide operational support for enterprise analytics platforms (Databricks, Azure, SQL Server). Manage user access and governance, troubleshoot platform and data issues, document processes and data flows, enable users for self-service analytics, coordinate with engineering/infrastructure/security teams, and help optimize cloud costs and platform reliability.

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 Lead Data Modeler will oversee data profiling, mapping, and modeling, ensuring effective communication and execution of data strategies while utilizing SQL and Informatica tools.