Top Data & Analytics Jobs in Columbus, OH

Lead a software engineering team building data and analytics solutions: design, develop, test, deploy scalable applications, enforce governance and controls, implement CI/CD and cloud deployments, drive data strategy, and mentor engineers while partnering with product and stakeholders.

Manage and improve the Data Privacy control environment for the Chief Data Office. Identify, assess, document, and remediate data privacy risks and controls, partner with business and control stakeholders, maintain controls in CORE, drive governance, reporting, and best-practice sharing across lines of business.

Lead and manage the control environment for Data Privacy and Data Governance initiatives across CDAO. Conduct process reviews, identify risks, design and implement controls, support audits and regulatory exams, partner with legal/compliance/audit and firmwide control teams, and manage a high-performing team to sustain data governance, data privacy, and operational risk practices.

Lead acquisitions analytics for Business Credit Card portfolio: set analytical roadmap, drive performance monitoring, forecasting, targeting, channel effectiveness, and test-and-learn programs. Manage and develop an analytics team, partner with cross-functional stakeholders, deliver executive-ready insights, and ensure governance, data quality, and regulatory-compliant reporting to inform acquisition strategy and risk-adjusted growth.

Lead data stewardship for Personal Lines Product, Pricing, and Underwriting. Define and execute a data roadmap, translate plans into epics, guide modernization to a unified insurance platform, govern data policy and classification, collaborate with stakeholders and Agile squads, and advise on technical solutions (streaming, modeling, warehousing, Guidewire transformations).

Lead design, implementation, and optimization of automated, auditable data integrations for pharmacy solutions. Collaborate with engineering, product, and AI teams to ingest and share data, enable data mesh and governance, and evaluate emerging technologies to improve scalability, performance, and reliability.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Lead architecture and reliability of the data platform, build and harden ingestion (batch and CDC), own BigQuery+dbt transformations, establish testing/observability/governance, mentor engineers, develop Python tooling and APIs, run POCs for lakehouse/open table formats, and define AI-assisted development practices.

Support risk and analytics efforts by performing SQL/Python-based analysis, monitoring portfolio health, building scalable reports, collaborating cross-functionally, and integrating AI tools to surface insights that inform product, risk, and growth decisions.

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

The Senior Product Analyst collaborates with Product Managers to analyze data, identify metrics, and provide recommendations to shape product strategy and improve customer experience.

Partner with Public Sector GTM leadership to develop strategy, analyze market and performance, build analytical models, and surface data-driven recommendations. Identify and implement AI-enabled workflows and automations, present findings to leaders and executives, and collaborate cross-functionally to scale GTM initiatives and drive public sector revenue growth.