Top Remote Data & Analytics Jobs in Ann Arbor, MI

The Director, FR Rating Capability Analyst will design and enhance scoring operations analytics for AP exams, ensuring data-driven insights improve scoring quality and efficiency.

The Counterparty Risk Analyst analyzes data to assess and mitigate risks using SQL and Python, builds visualizations, and supports underwriting strategies.

The Senior Functional Business Analyst clarifies business problems, translates needs into requirements, and facilitates collaboration to enhance IT solutions. They engage stakeholders, document user stories, lead UAT, and mentor junior BAs while ensuring alignment with business goals.

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

The Senior Manager, Customer Insights develops customer insight strategies, translates complex data into ROI narratives, and communicates findings to support customer success and commercial growth.

The Head of Data will build and manage a centralized data hub, integrating infrastructure and governance to support AI transformation, while driving measurable business value through strategic data initiatives and strong team leadership.

The Energy Analyst will analyze energy data, manage utility billing integrations, create visualizations, and support sustainability performance metrics.

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 Sr. Program Integrity Analyst identifies Medicaid fraud, waste, and abuse patterns in home care data, collaborating with product and engineering teams to develop detection capabilities and ensuring compliance with regulatory standards.

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.