Top Senior Analysis Reporting Jobs in Cincinnati, OH

The Business Analyst will document user stories, collaborate with product owners, lead scrum sessions, perform system analysis, and support implementation efforts. They will provide training and update process documentation.

Manage a team of ~7 data scientists to deliver experimental design, product analytics, and actionable insights. Partner with product, engineering, and research to build measurement, data products, and reporting; ensure data accuracy, timely delivery, and best practices.

The Associate Director, Data Strategy will establish and deliver a comprehensive data strategy for rare diseases, partnering with stakeholders to manage data sourcing, governance, and reporting, while ensuring alignment with business priorities.

The Senior Technical Analyst collaborates with stakeholders and engineers to document requirements, ensure quality, and support SDLC activities, while being a trusted advisor on solution design and process impacts.

The Lead Partner Success Implementation Engineer drives partner success through strategic implementation, technical guidance, and collaboration, ensuring optimal platform usage and partner enablement.

Lead marketing analytics to measure and optimize full-funnel performance. Build dashboards, analyze paid media and web funnels, assess lead quality and conversion, advise on budget allocation, support executive reporting, and improve analytics infrastructure across Marketing, Finance, and RevOps.

The role involves supporting sales and services initiatives through data analysis, relationship management, and cross-functional collaboration to inform strategies and optimize processes.

The Senior Korean Linguist manages translation and copy-editing tasks, coordinates with freelancers, and ensures high-quality Korean-language deliverables while improving workflows and supporting quality efforts.

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.

As a Data Engineer at LiveKit, you will manage the analytics infrastructure, develop scalable GCP-based data pipelines, and ensure effective data movement and transformation processes, while collaborating with the Analytics and engineering teams.