Top Data & Analytics Jobs in Detroit, MI

As a Pricing Systems Analyst, you will develop and refine pricing models using SQL and Looker, coordinate with Data and Engineering teams, and provide technical support for complex analytics. This role requires attention to detail and the ability to translate business needs into technical specifications.

Lead a team of Data Scientists and Analysts, developing AI and data-driven solutions, driving analytics insights, and fostering collaboration across teams.

The Business Analyst will bridge business strategy and data delivery, translating business problems into data use cases and ensuring accurate KPI definitions and reporting. Responsibilities include engaging with stakeholders, validating data quality, creating dashboards, and supporting solution design.

The Product Scientist will manage client relationships and analytics for MLB and NCAA teams, validate model outputs, support sales, and enhance the platform with insights.

The Actuarial Specialist produces analyses, manages projects, and oversees team workload to enhance actuarial processes in the organization, ensuring business growth and profitability.

Own end-to-end solution analytics for sales and partners: scope pilots, run analyses, build ROI narratives, present insights to stakeholders, and support partner success and product teams to reduce fraud and demonstrate value.

Lead analytics strategy for channel marketing, build attribution and incrementality frameworks, run experimentation and forecasting, surface optimization insights, and grow a high-performing analytics team to improve ROI and guide investment decisions.

The Technical Consultant will manage SFTP-based data integrations between EdSights and partner institutions, ensuring accurate data processing and collaborating across teams to optimize workflows and documentation.

The Principal Data Engineer will lead data architecture initiatives, design scalable data systems, and oversee data standards across teams while ensuring high-quality data infrastructure and guiding engineering teams.

The Senior Data Engineer will design and manage data integration, warehousing, and analytics solutions, ensuring data quality and guiding junior engineers while collaborating with technical leaders and external stakeholders.