Top Senior Analysis Reporting Jobs in Baton Rouge, LA

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.

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.

The Clinical Data Manager will manage research databases, oversee EHR to EDC automation, ensure data quality, and perform statistical analyses.

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.