Top Data & Analytics Jobs in Detroit, MI

As a Senior Analytics Engineer, you'll design and manage data pipelines, develop reporting solutions, and provide actionable insights using data to improve healthcare delivery while collaborating across teams.

The Forward Deployed Data Engineer will manage AI-automated data platform migration projects, ensuring timely delivery and communication with clients while utilizing proprietary tools.

The Senior Clinical Database Programmer leads the design and development of case report forms and manages studies using clinical data management systems, ensuring compliance with standards and regulations.

As a Principal Business Intelligence Engineer, you'll drive data initiatives, design data architectures, influence BI tooling, and mentor analytics engineers, focusing on improving the data infrastructure and governance for AI-powered analytics.

The Enterprise Data Engineering & Platform Manager will lead data modernization initiatives, support AI/ML, manage data pipelines, and ensure platform reliability within a healthcare context.

The Senior Manager, Analytics will lead quantitative analysis and data management initiatives in Corporate Development, focusing on mortgage servicing, valuation, and securitization, while promoting data-informed decision making.

The Senior Business Systems Analyst collaborates with stakeholders to translate business requirements into technical specifications, manages requirements throughout the project lifecycle, and ensures alignment with organizational goals while enhancing efficiency in processes.

As a Junior Business Analyst, you will conduct market research, analyze data, assist in preparing reports, and support business operations and communication tasks while developing your analytical skills in a remote setting.

The Senior Data Analyst will conduct analyses, own experimentation, and develop reporting to drive user acquisition, retention, and overall growth strategies at Calendly.

The role involves writing and maintaining fraud rulesets, conducting data analysis to identify and mitigate fraud, and collaborating with cross-functional teams to implement fraud strategies.