Top Data & Analytics Jobs in Detroit, MI

The Senior Product Analyst will enhance product growth analytics at MNTN by strengthening data tracking and insights to drive business growth and improve product performance.

Lead enterprise data governance initiatives, ensuring compliance and data quality across cloud platforms, focusing on Unity Catalog management and stakeholder communication.

The Product Code Specialist manages the onboarding and maintenance of product codes for Lumber/Millwork items, ensuring data accuracy and compliance with industry standards, while working within ERP systems and collaborating with internal and external teams.

The Lending Quality Assurance Analyst performs QA reviews on lending products, conducts data analysis, recommends improvements, underwrites files, and ensures compliance with regulations.

As an Address Integrity Specialist, you'll analyze address data, troubleshoot issues, collaborate with teams, and create monitoring tools and reports.

The Policy and Data Analyst supports health IT projects by conducting research, analysis, and evaluation of health care programs, focusing on reimbursement models and quality measures through data analytics and reporting.

The Deploy Engineer will onboard clients onto Ometria's product, ensuring data integration, validation, and client training, while maintaining platform reliability and establishing strong client partnerships.

The Business Intelligence / Data Analyst will optimize the data reporting pipeline using Google Big Query and Omni, work with product management, implement reports, and conduct ongoing maintenance.

As a Data Engineer, you will develop solutions for customer-centric technology, ensuring platform integration and managing data architecture. Responsibilities include building data processes, maintaining data integrity, and collaborating cross-functionally to meet business challenges.

The Data Engineer Consultant will design and implement scalable data solutions, advise clients on optimizing data environments, and develop ETL pipelines and data models to support business objectives.