Top Senior Analysis Reporting Jobs in Columbus, OH

Design and run experiments, analyze large datasets, build production-ready data pipelines and analytical frameworks, and translate findings into actionable recommendations for marketing and product stakeholders. Communicate insights to senior leaders and use approved AI tools responsibly to accelerate analytics and automation.

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 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 data steward for Personal Lines Product, Pricing, and Underwriting domains. Define and maintain a data roadmap, translate plans into actionable epics, govern data policy and classification, and coordinate stakeholders to modernize systems (streaming, data vault, warehousing) and enable a unified insurance platform. Advise Agile squads and collaborate with technical teams to implement durable, compliant data solutions.

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.

As a Staff Data Scientist at SentiLink, you will develop fraud detection models, conduct analyses, collaborate across teams, and drive the development of financial risk products.

Lead and grow a data engineering team that builds and operates ingestion, transformation, orchestration, and serving layers and a self-serve analytics substrate. Own data quality, observability, cost efficiency, SLAs, and engineering practices while partnering with Data Science, BIE, Analytics, and Product to deliver reliable, reusable data products.

Design, build, and maintain scalable dimensional data models, semantic layer, and production transformation pipelines. Collaborate with Data Engineering, Data Science, BI, DevOps, and Product to enable AI-ready data, ensure data quality and governance, support ML feature delivery, and coach analytics team members for robust, production-ready data products.

Lead end-to-end COGS and gross margin analysis for hardware and software products, model cost-saving scenarios, answer ambiguous executive questions, partner with data engineering/finance/product, build reliable datasets and analytical frameworks, and present recommendations to C-suite stakeholders.