Top Data & Analytics Jobs in Detroit, MI

The Analytics & Insights Consultant will transform data into actionable insights, support clients, and deliver presentations to drive growth across various departments in a B2B financial services context.

Support fraud detection efforts by analyzing transaction data, identifying suspicious patterns, and suggesting process improvements. Document findings and validate data accuracy.

Assist in preparing financial reports, manage ledger entries, perform account reconciliations, support audits, maintain records, and ensure compliance with regulations.

The Insights Lead Analyst will create and lead the analytics strategy, conduct data analysis, collaborate with teams, and communicate insights to clients.

The Senior Analyst manages supply chain operations, overseeing demand planning,inventory management, vendor relations, and coordinating with cross-functional teams to meet product delivery goals.

As a Fraud, Risk & Payments Analyst, you will enhance fraud prevention strategies, lead investigations, develop compliance frameworks, and improve payment processes.

The Sr. Finance Analytics Manager will manage financial data and analytics to inform forecasting and reporting, partnering with various departments to enhance accuracy and efficiency across financial metrics.

The Client Analyst will analyze large healthcare datasets, produce strategic reports, assist in market research, and support strategic advisors to address client needs.

The Principal Quantitative Scientist will lead clinical research, utilize statistical analysis on healthcare data, and collaborate with clinical leaders to improve care quality.

The Principal of Strategic Enablement & Optimization will drive client success through insights, strategic storytelling, and operational excellence, managing confidential projects and enhancing client experience.

The Senior Systems Analyst partners with various departments to optimize and maintain forecasting, budgeting, and reporting models in Workday Adaptive Planning, ensuring data integrity and enhancing cross-functional efficiency.