Top Senior Data & Analytics Jobs in Ann Arbor, MI

Lead the People Analytics function by developing AI tools, predictive models, and dashboards to enhance HR decision-making and employee experience.

The CPQ Salesforce Consultant will implement and optimize Salesforce CPQ solutions, analyze client needs, and manage project lifecycles while collaborating with clients and team members.

The Senior Analyst in Revenue Operations will manage planning cycles, headcount, performance plans, financial modeling, and collaborate with FP&A to support the GTM organization.

Lead design and expansion of a unified analytics data platform integrating Medicare claims, clinical systems, and vendor feeds. Implement AI-augmented data engineering (LLM coding assistants, automated QA, autonomous data-quality agents), build validation/reconciliation/audit infrastructure, partner with analytics teams for reporting and modeling needs, and drive large-scale analytics platform and web app implementation while collaborating with IT on security and deployment standards.

The Senior Data Migration Specialist ensures smooth data migration for clients from prior CRMs into AgencyBloc, focusing on data mapping, validation, and documentation.

The GIS Analyst will analyze spatial data, build web GIS applications, manage projects, mentor junior staff, and ensure data quality using Esri technologies and Python.

The Data Engineer will design and maintain data pipelines, enhance the data warehouse, support machine learning applications, and collaborate with various teams to leverage data effectively.

The Senior Data Engineer will design and operate data systems, optimize data pipelines, and enhance AI workflows for legal operations. Responsibilities include data modeling, implementing governance standards, collaborating with cross-functional teams, and mentoring junior engineers.

The Senior/Staff Data Engineer will design and scale the core data platform for healthcare systems, focusing on infrastructure, tooling, and governance while mentoring engineers and collaborating with various teams.

The professor will develop and teach courses in computer and data science, advance a research agenda, and engage in departmental collaboration and meetings.