Top Data & Analytics Jobs in Detroit, MI

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.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.

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.

The Principal Marketing Analyst will enhance marketing strategies through data analysis, develop dashboards, manage data tables, and use AI for insights.

The Technical Data Manager will support NPI across product lines, manage data entry, and create Engineering Change Orders during product lifecycle.

The Senior Data Engineer will design and maintain data pipelines, build scalable data infrastructure, and ensure the availability of high-quality data for analytics and operations at TopDog Law.

Remote Operations Manager responsible for overseeing daily operations of a plumbing and heating service division. Optimize workflows between dispatch, field technicians, customer service, and project teams; implement KPIs, manage budgets and vendors, lead performance meetings, and drive continuous improvement to scale operations and improve customer satisfaction.