Top Data & Analytics Jobs in Detroit, MI

The Analyst designs, analyzes, and optimizes incentive programs, evaluates program effectiveness, develops dashboards, collaborates across channels, and communicates insights to stakeholders, driving measurable business impact.

As a Senior Data Engineer, you will design and optimize data pipelines using cloud-native solutions, collaborate with cross-functional teams, and implement best practices in data governance and DevOps.

The role involves aligning client data strategies to business objectives, utilizing modern cloud environments and developing analytics-driven strategies to drive growth.

The Category Data Analyst supports sourcing activities through data analysis, market intelligence, and reporting, enabling informed decision-making and supplier management.

As a Data Analytics Team Lead, you will manage data infrastructure, oversee projects, lead a team of analysts, and ensure data accuracy and accessibility for various business needs.

Manage a team of Data Analysts to provide actionable insights and dashboards for operational departments, overseeing business intelligence projects and collaborating with other teams to enhance data models.

The Analyst II will provide data-driven insights and support to the sales team, define performance metrics, leverage AI tools, and ensure effective communication of strategies across teams.

The Applied Research Engineer II will lead applied research initiatives, develop algorithms, and collaborate across teams to translate scientific insights into impactful products in human wellness.

As a Lead Product Data Analyst, you'll drive data-informed decision-making across teams, develop data products, collaborate on metrics, and influence product strategies.

The Principal Product Analytics Engineer leads the design and architecture of Toast's product analytics ecosystem, ensuring reliable and scalable data for analysis across various platforms. This role involves creating data frameworks, implementing quality controls, and collaborating with cross-functional teams to support data-driven product development and AI insights.

The Senior Analyst will optimize payment processing workflows by designing dashboards, identifying trends with SQL, and collaborating across teams to enhance payment efficiencies.

Responsible for designing, developing, testing, and optimizing data integration solutions, focusing on financial month-end closure and ongoing production support.