Top Remote Data & Analytics Jobs in Ann Arbor, MI

The Sr. Manager, Biostatistics leads statistical activities for clinical studies, ensuring quality deliverables and compliance with regulatory standards while collaborating cross-functionally and with external partners.

As a Senior Analytics Engineer, you'll design data models, optimize SQL queries, implement data quality checks, and mentor junior members to support analytics initiatives.

Analyze fraud trends, develop fraud strategies, monitor performance, and collaborate with teams to optimize fraud detection capabilities while balancing risk with customer experience.

The Senior Analyst will build and maintain ARR analysis models, create dashboards, automate reporting processes, and support strategic decision-making through data insights.

The Business Analyst will define business requirements for Partner Production Experience, coordinate UAT, collaborate with cross-functional teams, and ensure system functionalities align with user needs and regulatory standards.

The Growth Analytics Lead will analyze and optimize marketing investments, develop performance metrics, and operationalize data tracking to improve growth and retention metrics for a direct-to-consumer brand.

The Data Services Associate coordinates client-facing data projects, improves processes, and handles data entry while ensuring quality control.

Provide support for data repository and analytics tools in GMP data, focusing on manufacturing and quality domains. Analyze business needs, manage data curation, ensure compliance, and lead documentation and testing efforts.

Lead and enhance the Financial Crimes Compliance Program, manage investigations, risk assessments, and regulatory changes, while overseeing a compliance team.

The Vice President of Clinical Data & Analytics leads analytics strategy and infrastructure, driving insights to optimize healthcare outcomes and manage costs. They collaborate with executives to enhance clinical programs, improve client reporting, and ensure data-driven decisions. Responsibilities include overseeing data integration, leading HEOR initiatives, and managing a high-performing analytics team.