Top Analysis Reporting Jobs in Columbus, OH

Maintain data integrity and quality through advanced testing and validation of ETL pipelines. Analyze complex data issues, build solutions, mentor junior staff, engage with clients, and support continuous improvement across data management, governance, and pipeline orchestration.

Lead and scale enterprise data governance across global and federated teams. Define ownership, stewardship, quality standards, metadata, lineage, and controls. Translate policy into operable standards, align governance with risk/privacy/regulatory needs, drive adoption, measure governance maturity, and provide executive reporting and escalation for governance risks and decisions.

Design and maintain data pipelines, implement data integrations, mentor junior developers, and develop AI-powered solutions to enhance reporting and decision-making.

As a Data Analyst at Circle, you'll analyze payments data, create visualizations, develop dashboards, and support decision-making with insights. You'll partner with business teams to identify opportunities for enhancement and communicate findings effectively to stakeholders.

The Sr. Analytics Engineering Manager will lead analytics engineering, managing a team to build ELT pipelines and data models for actionable insights in mental healthcare.

The Senior Business Systems Analyst will leverage ServiceNow for automation, aligning solutions with business needs, enhancing user experience and driving AI-assisted solutions.

The Pricing Analyst will analyze market data, assist in RFP processes, collaborate with the Business Development team, and provide detailed recommendations to improve pricing strategies and customer solutions.

Design, build, and maintain scalable BI solutions and Power BI dashboards for CRM performance and lifecycle analytics. Integrate AEP, RTCDP, and CRM data, ensure data quality and governance, automate reporting across brands/markets, support attribution and migration to cloud, and collaborate with cross-functional teams to deliver actionable marketing insights.

As the first in-house Data Engineer, you will own the data infrastructure, build and maintain data pipelines, and collaborate with teams to ensure quality data access and insights.

Lead the marketplace analytics by optimizing monetization strategies, monitoring performance, creating dashboards, and analyzing supply-demand dynamics. Collaborate cross-functionally to drive engagement and profitability.