Top Data & Analytics Jobs in Detroit, MI

As a Senior Analytics Engineer at Forward Financing, you'll design and maintain data models, collaborate with various teams to enhance analytics platforms, ensure data quality, and integrate third-party data sources to support business decisions.

As a Risk Analyst, you'll analyze data, monitor payroll activities, and mitigate fraud and credit risks while ensuring compliance. Your role includes reviewing accounts for onboarding and regulatory adherence, and escalating potential fraud incidents with documentation and resolution tracking.

The Senior Analyst on Strive’s Performance Team will collaborate with various teams to track performance against organizational priorities. Responsibilities include conducting analyses, delivering customer-facing reports, and preparing presentations for executives. A focus on monitoring performance metrics and identifying improvement opportunities is essential.

Headway is seeking a Senior Data Engineer to help create access to affordable, quality mental healthcare across the United States. This role involves collaborating on data infrastructure design, partnering with product/engineering for best practices, creating data pipelines for business insights, and building real-time data pipelines in coordination with the Data Science team.

As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.

As a Sports Statistician, you'll attend sporting events, reporting live action through data collection software while ensuring accurate game statistics. Training will be provided for effective technology use. The role requires reliability, organization, and availability during weekends and evenings, along with a good understanding of sports rules.

The Data Engineer will design, implement, and maintain the data infrastructure for analytics and business intelligence at Endpoint. Responsibilities include developing ETL pipelines, managing data warehouses, ensuring data quality, and collaborating with cross-functional teams to optimize data workflows and support data-driven decision-making.