Top Analysis Reporting Jobs in Columbus, OH

Support end-to-end product data enablement and governance for US Wealth Management: document business definitions and metadata, establish quality requirements, monitor data quality, perform profiling, coordinate remediation, maintain governance artifacts, and communicate with stakeholders to reduce data risk and enable analytics.

Lead strategy and execution for legal entity data intelligence across third‑party oversight. Establish governance, consolidate sources, deliver executive insights, drive adoption, automate processes, prioritize risks, and improve data-driven decision making.

Lead and evolve first-party card fraud strategies by translating ambiguous problems into data-driven hypotheses and actions. Monitor performance and customer friction, leverage internal/external data to reduce false positives, define success metrics, partner with Product and Operations to implement scalable controls, execute changes with governance, and mentor team members while communicating executive-ready recommendations.

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.

The role involves architecting and improving data systems, defining governance standards, optimizing performance, and mentoring engineers in data engineering.

Design and automate reporting and workflows for financial operations. Analyze and troubleshoot data pipelines, build reports, collaborate with SMEs to remove manual bottlenecks, and own small optimization projects to improve operational efficiency.

Perform end-to-end analytics to quantify partner value and build ROI narratives from pilot datasets. Support sales and partner success with discovery calls, fraud strategy discussions, presentations, technical support, and thought leadership (white papers). Coach team members, maintain customer relationships, and communicate insights to senior stakeholders to drive adoption.

Build, model, and maintain scalable BigQuery-based data solutions on GCP. Implement performant data models, storage partitioning/clustering, ETL improvements, data validation, and documentation. Collaborate with architects, data scientists, and engineers to deliver governed, high-quality data for reporting and AI initiatives.