Top Analysis Reporting Jobs in Columbus, OH

Design, implement, and optimize data systems for analytics and care coordination, collaborate with teams, and automate reporting processes.

The Data Analyst will perform advanced data modeling and analysis, manage data collection systems, and communicate findings to stakeholders, driving data-informed business decisions.

The Data Analyst will build dashboards, perform ad-hoc analyses, ensure data integrity, and collaborate across teams to refine data insights and enhance reporting.

As Director of Data, you'll own the data strategy, lead a team of data engineers, and build reliable data infrastructure for analytics and reporting across the firm.

Lead quantitative research focusing on the monetization strategies, guiding teams on research agendas, and synthesizing data into actionable insights. Collaborate with cross-functional teams to balance monetization and user engagement, presenting findings to senior leadership.

The Director of Analytics will lead the analytics strategy and operations for a top-grossing mobile app, driving data-driven decision-making and insights.

The role involves monitoring system usage, gathering requirements, collaborating with stakeholders, and translating business needs into technical specifications while ensuring project completion and quality.

As an Analytics Manager, you'll build dashboards, provide strategic insights, and create a standard data language across teams to enable data-informed decisions.

The Senior Analyst in Strategic Finance will analyze data to inform decision-making, drive revenue forecasts, and influence commercial deal strategies, while collaborating with stakeholders across the organization.

The role involves executing SEO analysis and testing, managing experiments, translating results into recommendations, and monitoring performance metrics for clients.

The Senior Analytics Engineer will design and build scalable data pipelines using dbt and Snowflake, providing technical guidance, conducting audits, and mentoring junior engineers while leveraging AI tools to enhance productivity.

Build and maintain dashboards and reports (Excel, Tableau, Sigma) by pulling and modeling production data (SQL, Python). Create pricing models for RFPs, define operational and financial metrics, optimize queries and data structures, run A/B experiment analyses, and partner with business leaders to generate insights and recommendations to improve roadside assistance operations and performance.