Top Data & Analytics Jobs in Detroit, MI

Lead HR analytics for People & Culture and Capacity & Resource Management: build and maintain dashboards and reports, extract/clean large datasets, deliver talent and capacity insights, run data-driven programs, improve reporting processes, maintain documentation, and mentor team members while collaborating across functions to inform strategic workforce decisions.

Lead design and delivery of enterprise BI and data engineering solutions using medallion architecture and domain-driven design. Build ETL/ELT pipelines, advanced data models (star/snowflake), and Power BI dashboards. Implement DAX and Power Query M transformations, optimize SQL solutions, and use Spark Python for large-scale processing. Collaborate with stakeholders, define KPIs, mentor team members, and drive innovation across the Microsoft Cloud Data Stack.

Develop accurate pricing for sales opportunities; compile RFQs/RFPs; manage pricing SharePoint; lead pricing strategy meetings; update Salesforce; maintain pricing models; produce Power BI and ad-hoc reports; track wins, revenue, and margins.

Design, build, optimize, and maintain scalable data pipelines and ETL for insights products. Analyze complex datasets, collaborate across teams, automate workflows, and improve pipeline performance and cost efficiency using cloud and modern data platforms.

As a Clinical Research Associate, you will liaise with investigational sites, ensuring compliance, monitoring studies, maintaining documentation, and supporting recruitment efforts in oncology trials.

As an intern, support the National Tax Office with research on tax issues, assist in preparing returns, and engage in team activities to enhance tax knowledge.

Lead design, operation, and reliability of production data pipelines in a multi-terabyte Snowflake environment. Translate client requirements into dimensional models, debug and remediate pipeline failures, evolve the data mart for event-driven and AI workflows, and improve pipeline trustworthiness via testing, CI/CD, audit logging, and documentation.

The Senior Data Architect will design and implement data architecture strategies, integrating Oracle EBS with cloud services, overseeing data governance, and collaborating with cross-functional teams to optimize data workflows.

As a Senior Analyst, you will lead investment performance reporting initiatives, ensuring compliance, maintaining performance tools, and collaborating with various business units to enhance reporting capabilities.

Design and build petabyte-scale multimodal data pipelines and infrastructure (text, audio, images, video). Own and maintain systems like Spark, Ray, and vector databases, partner with pre/post-training teams to improve data recipes through experimentation, and support large-scale dataset storage and processing for AI model training.