Top Senior Analysis Reporting Jobs in Columbus, OH

Support product analytics for employee digital products by integrating digital and offline data, building measurement frameworks, creating visualizations and insights, collaborating with product and engineering to translate goals into specifications, and enabling BI capabilities to inform product roadmap and improve employee experience.

Lead analytical monitoring and strategic analysis for homeowners insurance, translate findings into executive recommendations, present to senior leadership, partner across the business to drive profitable growth, and mentor junior team members.

Lead design and implementation of enterprise Product Information Management (PIM) solutions, ensure product data quality and integration, drive business development and client engagement, mentor team members, improve processes and productivity, and align product data management with organizational objectives.

Lead end-to-end architecture for a multi-year Core Banking modernization, define target and transition architectures, align business and platform strategy, govern design decisions, influence vendor/platform selections, advise senior leadership, and provide hands-on architectural guidance to delivery teams to ensure consistent, scalable migration and modern data platform adoption.

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 and scale a casino analytics team to drive data-informed strategy, experimentation, and reporting. Partner with product, data science, and operations to deliver executive insights, build analytical frameworks, and develop high-performing analysts to unlock growth and operational efficiency.

Design and own end-to-end data models and dbt transformations on BigQuery, maintain the semantic layer in Lightdash, govern metrics, enable AI-assisted analytics workflows, partner with stakeholders to deliver trusted reporting, and lead data modeling standards, testing, and documentation.

Design, implement, and validate data mapping, transformation, and integration solutions for payment integrity. Investigate and resolve complex data quality issues, create mapping specs and documentation, partner with stakeholders, and mentor analysts to improve data quality and automation.

Design, build, and operate large-scale data platforms and Spark/PySpark pipelines. Enable data integration, modeling, quality, and observability. Build MCP servers and AI-augmented tooling, mentor engineers, and lead cross-functional projects to deliver reliable data products.