Top Data & Analytics Jobs in Detroit, MI

Build and maintain dashboards and ETL pipelines to standardize logistics and packaging data, perform exploratory analysis and root-cause investigations, identify cost and efficiency opportunities, and deliver actionable insights to cross-functional stakeholders to improve inbound execution, pack density, and cost visibility.

Develop and maintain data pipelines and BI solutions for smart factory initiatives. Design data models, document data warehouses, build KPI dashboards, support ad-hoc analysis, and collaborate with stakeholders to enable data-driven decisions.

Lead architecture and delivery of end-to-end MDM solutions, manage client relationships and teams, ensure data quality/governance, design integration patterns, mentor staff, and align MDM with business processes to improve data capabilities.

Lead regional economic intelligence and outreach, conduct qualitative and quantitative research, produce sector and district analysis for policy use, prepare publications and presentations, engage senior external stakeholders, and mentor junior economists.

Senior Data Analyst embedded in Finance to deliver executive-grade forecasting, intra-quarter pacing, P&L modeling, and automated reporting. Build finance data infrastructure on Snowflake, create dashboards and pipelines (Power BI, SQL, Excel), partner with IR and engineering, and mentor analysts to drive decision-ready insights.

Design and implement analytic solutions to transform configuration data into actionable insights. Automate data collection from Oracle, Windchill, and TIPQA, build Power BI visualizations, perform statistical analyses, and recommend process improvements using RCCA and Lean while communicating findings to stakeholders.

Lead enterprise data modeling and architecture for the firm's lakehouse and Fabric platform. Define canonical data models, produce ERDs and dimensional schemas, govern Silver/Gold layers, run design reviews, document ADRs, and align data governance, lineage, security, and data contracts to ensure trusted analytics and self-service consumption.

The Data Engineer will build and maintain data pipelines, optimize workflows, manage infrastructure, and enhance pipeline observability while collaborating with teams for effective data delivery.

Own BI analytics using a modern data stack to generate insights, build dashboards and self-serve tools, partner with stakeholders, and deploy AI-driven reporting and natural-language query solutions.

Lead a team of analysts and data scientists embedded in sales to build rigorous pilot analyses, create executive-ready business cases, expand consultative analytics across the partner lifecycle, and publish industry insights while coaching and scaling the Solutions Analytics function.