Top Remote Data & Analytics Jobs in Ann Arbor, MI

The Analyst, Transaction Monitoring role involves reviewing transaction alerts, conducting investigations on fraud and compliance, documenting findings, and optimizing operational processes.

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.

The Market Risk Analyst will monitor SBL lines of credit, assess market risks, manage collateral, develop risk models, and prepare reports.

The Managing Consultant will lead project teams in Microsoft Fabric design, develop solutions, and maintain client relationships while ensuring quality and synergy across engagements.

The role involves partnering with finance leaders to provide analytical insights, designing frameworks, developing dashboards, and leading a high-performing analytics team while utilizing SQL and data visualization tools.

The Healthcare Analyst II will analyze clinical data to improve healthcare programs, collaborate with teams, and produce actionable insights using statistical tools.

The Senior Business Planning Analyst will design dashboards, develop performance scorecards, analyze data, and provide insights to improve operational performance in clinical settings.

Drive analytical insights and strategies for borrower acquisition and retention, partner with various teams to enhance growth, and mentor junior analysts.

The Senior Business Intelligence Analyst collaborates with stakeholders to facilitate data-driven decision making and improve scalability, providing insights and analysis across business metrics.

Identify and mitigate payments fraud, analyze risk using data, implement monitoring controls, and communicate findings to leadership. Collaborate with various internal teams to develop risk management strategies.

Analyze customer sentiment data to identify pain points, create presentations combining quantitative and qualitative insights, and work with cross-functional teams to improve customer experience.