Top Analysis Reporting Jobs in Columbus, OH

As a Senior Data Analyst, you'll analyze complex datasets to provide actionable insights for marketing and business strategy. You will collaborate with various teams to optimize client performance, build forecasts, and support ongoing metric analysis.

Lead measurement strategy for a book of marketing clients using statistical modeling (MMM), experiment design (MMT), customer analysis, and attribution. Translate large data sets into actionable insights using R, Python, and SQL; present recommendations to clients and mentor measurement analysts while improving processes and leveraging Power Digital's Nova and AI tools.

Trace3 seeks enthusiastic individuals for its Data Intelligence Team. The role focuses on innovative technology solutions and consulting services, fostering a collaborative and dynamic work environment.

Design and optimize BI semantic models and analytics workflows using PowerBI and Tabular Editor; build and transform large-scale datasets in BigQuery with dbt; implement CI/CD and deployment via GitHub and Azure DevOps; collaborate with stakeholders to deliver actionable visualizations and integrate Agentic AI into analytics pipelines.

Lead design and optimization of analytics products and Tableau dashboards, manage and tune reporting data pipelines (Redshift/ETL), implement performance best practices, collaborate cross-functionally, and drive automation and AI opportunities to improve reporting and analytics for healthcare customers.

The Data and Analytics Consultant will design, develop, and implement data reporting, visualizations, and analytics solutions for clients while assisting them in data understanding and value extraction.

The Manager will lead client projects in Data and Analytics, focusing on strategy formulation, process automation, and data visualization, collaborating with various stakeholders.

Lead a team of Data Scientists and Analysts, developing AI and data-driven solutions, driving analytics insights, and fostering collaboration across teams.

Build production-quality data pipelines and analytical workflows using Python, SQL and Spark; clean, transform and analyze structured data; validate and deploy predictive models; support client presentations and explain results to non-technical audiences; contribute to and improve the firm’s analytics platform and tooling.

Lead oversight of data management for assigned studies, manage external vendors, review and approve DM documentation, perform secondary UAT of EDC, implement RBQM oversight, and provide cross-functional input on protocols and study deliverables to ensure data quality and regulatory compliance.