Top Senior Analytics Jobs in Ann Arbor, MI

Hands-on technical lead designing and delivering secure, scalable Azure analytics solutions. Lead solution architecture, guide implementation, mentor engineers, advise on Power BI architecture and governance, and support delivery, consulting, and reuseable asset creation.

The Senior Analytics Engineer will build and maintain data foundations for corporate reporting, translating business requirements into data models, ensuring consistent metric definitions and investigating data discrepancies for reliable reporting.

The Supervisor of Analytics Reporting position involves monitoring model performance, developing reports, providing mentorship, and utilizing analytical tools to drive business decisions. Responsibilities include data extraction, reporting on KPIs, and leading the analytics team to achieve business objectives.

The VP of Reporting & Analytics leads the analytics function, developing strategies and insights for stakeholders, enhancing data literacy, and managing analytics teams while driving AI-enabled capabilities and BI infrastructure advancements.

Lead a team to develop data strategy and insights across multiple business functions, driving analytics evolution and ensuring data quality and governance.

The Manager, Analytics Services will lead a team to deliver high-quality analytics projects, manage client relationships, and integrate AI solutions in healthcare analytics, focusing on business growth and client satisfaction.

The Senior Analyst, Revenue Operations is responsible for delivering analytical insights, enhancing forecasting accuracy, and optimizing revenue processes while collaborating with various departments.

The Senior Analyst, GTM Analytics will analyze GTM performance, build reporting tools, and support decision-making in Sales and Revenue Operations. Requires strong analytics and cross-functional collaboration skills.

The Sales Analytics Manager will oversee sales analytics, implement AI-driven reporting solutions, and partner with various teams to enhance data governance and performance forecasting.