Top Data & Analytics Jobs in Detroit, MI

The Infor Syteline Implementation Business Analyst will analyze business needs, manage project requirements, and collaborate with IT for system enhancements and training.

The Principal Data Architect will design and implement complex cloud-based data solutions, oversee data standards, and guide technical teams while maintaining client roadmaps.

The Senior Data Architect will own architectural direction for large data platforms, ensuring scalability and security while leading modernization efforts and communicating with stakeholders.

The Fraud Intelligence Analyst investigates fraud cases, translates insights for product development, identifies fraud patterns, supports revenue workflows, and builds domain expertise through high-volume casework.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

The Staff Data Engineer designs and builds data platforms and pipelines, ensuring data integrity and collaboration across teams for analytics and reporting.

The Senior Data Analyst will develop SQL pipelines to automate workflows, create dashboards, analyze financial data, and support leadership with insights.

The Manager of Business Analysis & Forecasting will develop data-backed revenue models, perform advanced analytics, and collaborate with finance leaders to drive strategic insights and business growth.

Seeking a leader for the MLIR team at Netflix to drive machine learning innovations, collaborate with various teams, and enhance organizational capabilities.

The role involves establishing metrics for cloud games' quality of experience, analyzing data, and collaborating with engineering teams to enhance performance and drive data-informed decisions.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

The Actuary will analyze ratemaking and customer data, lead regulatory filings, build models with GLM and machine learning, automate workflows with Python, and collaborate cross-functionally on product development in a remote environment.

The Director of Data & AI Alliances will develop strategic partnerships, drive joint go-to-market strategies, manage partner relationships, and lead initiatives that enhance revenue growth and partner engagement in data and AI ecosystems.