Top Analysis Reporting Jobs in Columbus, OH

Develop and maintain Spotfire dashboards and DQ metric reports. Perform data analysis, data modeling, and database design. Troubleshoot database integrity and performance issues. Write complex, high-performance T-SQL procedures and views. Support data governance and deliver reliable, maintainable analytics solutions.

Lead Cognos architecture and implementation for an enterprise Oracle data warehouse. Design data marts, cubes, security, HA/disaster recovery, performance tuning, migration strategy from Hyperion/Brio, mentor client staff, and define version control and deployment approaches. Work onsite full time.

The Business Analyst will study business functions, gather information, analyze system requirements, document procedures, and provide user support and training.

The Sr Business Analyst will develop requirements for Master Data Management RFP, collaborate with technical and business teams, document data standards, and assist in implementation and training efforts.

The role involves data analysis, comparing data across different systems, and making informed business decisions with minimal supervision.

Design, build, and maintain SQL-based reporting and BI features; create test plans and documentation; optimize report performance; perform triage and bug fixes; lead technical improvements; mentor junior staff; collaborate with product and cross-functional teams to deliver customer-facing analytics and reporting solutions.

Leads marketing and sales analytics strategy, architecture, and measurement. Builds data models, pipelines, machine learning datasets, attribution and incrementality models, and revenue-performance analyses. Advises leaders on investments, tools, account prioritization, and funnel economics. Establishes data, metric, testing, and privacy standards; partners with Marketing, Sales, Finance, Revenue Operations, Data Engineering, and IT; plans roadmaps; presents recommendations to executives; and mentors analysts and engineers.

Own advanced advertising measurement strategy for Connected TV, including incrementality testing, lift studies, attribution, experimental design, and performance validation. Advise customers and internal teams on interpreting complex measurement results, lead analytical enablement, partner with engineering and measurement vendors, resolve ambiguous post-launch challenges, and translate cross-customer insights into product strategy, go-to-market materials, and scalable best practices.

Designs and delivers backend systems, APIs, data models, ETL workflows, data interactions, and user interfaces. Optimizes data operations for scalability, performance, integrity, and security while contributing to automated testing and CI/CD. Requires strong Python and Apache Spark experience, distributed computing knowledge, Agile experience, and data analysis skills. The role supports healthcare-focused digital services in a remote-first environment.

Analyzes fraud, credit, portfolio, alert, case, and customer data to identify trends, typologies, losses, control gaps, and process inefficiencies. Develops fraud KPIs and KRIs, supports detection models and rules, evaluates alert and investigation lifecycles, and delivers executive-ready reporting aligned with BSA/AML, regulatory, and audit standards. Partners with Fraud Operations, Compliance, Risk, Product, and Technology teams to improve detection, escalation, investigation, and resolution outcomes.