Top Data & Analytics Jobs in Detroit, MI

The Quantitative Mortgage Lending Analyst will analyze mortgage lending data, enhance analytics tools, integrate performance metrics, and collaborate on lending strategies.

The role involves designing, developing, and maintaining Power BI dashboards, supporting data-driven sales operations, and ensuring data quality and governance while collaborating with various stakeholders.

The Senior Director Analyst in MDM leads research and advisory functions, focusing on Master Data Management strategies and providing clients with actionable insights to enhance their data initiatives. This role requires strong analytical skills and the ability to communicate complex concepts effectively.

The Databricks Solutions Architect will lead technical engagements, guiding architecture, delivery, and implementation of complex data platforms using Databricks, while mentoring teams and ensuring best practices.

The Director of Reporting and Data Management oversees data infrastructure for Workforce Management, establishing objectives, managing teams, ensuring data storytelling aligns with strategy, and leading predictive modeling efforts.

As a Sr. Business Analyst, you will facilitate requirements gathering, process design, and solution development, particularly regarding ServiceNow for federal clients.

Design and develop scalable data pipelines using PySpark and Databricks, focusing on data ingestion, transformation, validation, and performance optimization.

The Risk Analyst will monitor merchant processing activity, investigate suspicious activities, analyze data, and collaborate on risk mitigation strategies while maintaining effective communication with clients and providing process improvements.

As a Senior Product Analyst, you'll analyze user experience, develop metrics, visualize data, communicate insights, and enhance decision-making for better learning outcomes.

As Senior Manager of IT Commercial Data Management, you will lead data initiatives, manage product ownership, and develop data governance strategies in collaboration with stakeholders, ensuring high data quality and analytics capabilities.