Top Senior Data & Analytics Jobs in Ann Arbor, MI

The Senior Taxonomist classifies transactions, manages taxonomy updates, mentors teams, and collaborates on projects in the Data & Marketing Solutions group.

The Senior Data Engineer will build and maintain ETL pipelines, enhance entity resolution processes, implement risk calculation logic, and collaborate with product and development teams to refine requirements and manage data releases.

The Business Systems Analyst III will bridge the gap between business and technology stakeholders, manage Agile processes, create user stories, and perform complex data analysis to support product development in the financial services sector.

The Senior Business Analyst collaborates with teams to transform data into actionable insights, leads projects, educates users, and recommends improvements across business processes using data analysis.

The Analytics Manager, GTM at Docker will develop and manage dashboards for the Sales team, leveraging SQL and data to drive pipeline generation through actionable insights, while ensuring data accuracy and usability.

The AI Systems Analyst III evaluates AI projects for technical feasibility, maintains the AI Registry, analyzes data quality, and documents requirements for implementation.

The Senior Product & Growth Analyst will lead the analytics behind Trust & Will's growth, focusing on conversion, retention, and lifetime value analysis. Responsibilities include building predictive models, conducting experimentation, and delivering data-driven recommendations to stakeholders. The role involves collaborating across product, marketing, and growth teams, with a strong emphasis on user behavior and funnel analysis.

The Lead Adobe Customer Journey Analyst links customer data to business strategy using Adobe CJA for actionable insights, dashboard maintenance, and cross-channel analytics to enhance customer experience and business outcomes.

The Sr. Global Planning Manager drives sales planning processes, supports cross-functional enablement, and leverages data analytics for revenue operations, focusing on tool implementation and insights generation.

As an Analytics Engineer, you'll own analytics solutions from data architecture to visualization, ensuring streamlined insights for business stakeholders.