Top Senior Analysis Reporting Jobs in Dayton, OH

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

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.

The job involves building responsive web dashboards, advanced data visualizations, and analytics tools for unmanned aircraft systems, requiring a deep understanding of UI/UX design and data presentation.

The Senior Product Analyst will lead product analytics, design A/B tests, build dashboards, and integrate customer insights to drive product strategy and improve customer experience.

The Data Product Manager (DPM) leads the lifecycle and development of data-centric products, aligning them with business goals and collaborating with cross-functional teams to deliver value and insights from data products.

Lead complex data migration efforts for customers. Oversee the migration lifecycle, ensure data accuracy, and mentor junior team members.

Manages clinical data analytics, providing expertise in areas like risk adjustment and quality measures, mentoring staff, and driving operational improvements. Oversees analytics support and communication with clinical leaders, ensuring effective data usage for strategic decision-making.

The CAT Pricing Lead will manage catastrophe pricing strategy, integrating risk insights into pricing, and leading a team focused on actuarial analysis and portfolio risk management.

Responsible for designing and operationalizing quality analytics for improving Medicare Advantage Stars and HEDIS outcomes. This role involves building analytic assets, translating data into insights, and ensuring quality reporting.

Manage CVS Health's data partnerships and monetization strategy, source new partnerships, ensure operational success, and drive data product adoption across analytics teams.