Top Data & Analytics Jobs in Ann Arbor, MI

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

The Senior Manager, FP&A will manage budgeting, forecasting, and reporting, drive financial insights, partner with executives, and mentor junior team members.

As a Staff Product Analyst, you'll define analytics strategies, build measurement infrastructure, design experiments, and partner with product teams to boost self-serve conversion and product adoption.

Seeking a Senior Data Engineer to design and optimize data pipelines, ensuring data quality and supporting advanced analytics. Responsibilities include building data architectures, developing automated testing, and collaborating with stakeholders.

Lead validation of financial models, ensure compliance with regulations, develop audit practices, and foster relationships with technical teams. Manage complex validations and report findings to executives.

Lead Corporate Brands squads, optimizing performance marketing through analytics, directing strategic projects and fostering collaboration between teams.

The Lead Healthcare Analyst will analyze healthcare data to drive program effectiveness, support strategy, and improve patient outcomes, collaborating with various stakeholders.

Lead cost savings and impact modeling, develop actuarial methodologies, oversee analytics projects, partner with teams on data requirements, and assess financial impacts of new programs.

The Manager, Portfolio Strategy is responsible for managing a team, developing monitoring frameworks, analyzing portfolio performance, and presenting insights to optimize profitability and risk for a billion-dollar portfolio.

The Senior Analyst will provide insights to drive business growth, assess portfolio risks, and implement pricing strategies while collaborating with various teams.

The Senior Analytics Engineer will design and maintain data models, build data pipelines, and optimize data infrastructure while collaborating with teams like Data Engineering and Data Science to support business intelligence and advanced analytics.

The People Analytics Partner consults with business leaders, uses analytics to improve workforce strategies, and ensures data quality in people metrics.

As a Data Engineer, you will design and maintain data pipelines, build data storage systems, and support analytics workflows, ensuring data reliability and performance. You will collaborate with engineers to define data structures and improve data management practices.