Top Data & Analytics Jobs in Ann Arbor, MI

The Senior Data Analyst will develop and maintain data pipelines, dashboards, and reports, supporting data governance and analytics across the organization.

The Senior Data Analytics Engineer will design and maintain data pipelines, optimize data models, and implement best practices for data governance and performance in a SaaS environment.

The Head of Value Attainment will lead the creation of a value measurement system, manage analytics and commercial frameworks, and support healthcare partnerships to demonstrate Ambience's clinical and financial impact.

The Manager I, Analytics will lead a team to enhance data models, ensure data quality, troubleshoot issues, and manage analytics workflows, impacting healthcare information delivery for beneficiaries.

The Senior Analytics Engineer will design and maintain analytics architecture, data models, and transformation pipelines to provide accurate insights. They will ensure reliability and quality of analytics data and collaborate across teams to support AI and machine learning initiatives.

Own customer reporting and analysis across lifecycle metrics (acquisition, retention, churn, LTV). Write and optimize complex SQL in Snowflake, build standardized datasets and dashboards, analyze cohorts and subscription dynamics, support experimentation and measurement, ensure data accuracy through QA and documentation, and deliver executive-ready insights to cross-functional teams.

The Senior Learning Product Strategist will enhance Chegg Skills' products by implementing learning science principles, driving engagement, and translating research into actionable insights for product development.

The Information Governance Supervisor oversees the Information Governance program, managing staff, procedures, systems, training, and compliance across multiple offices.

The Senior Manager, Performance Data Operations leads the Population Health Impact team, driving performance improvement initiatives, building complex datasets, and communicating insights to stakeholders. Responsibilities include data analytics, program management, and fostering cross-functional relationships.

The Senior Data Engineer will build and manage data pipelines in Snowflake, integrate AI systems, and ensure data security and optimization while collaborating across teams to support revenue analytics.