Top Data & Analytics Jobs in Detroit, MI

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Design, develop, test and support Informatica ETL workflows integrating Oracle, MySQL, Salesforce and Data Lake sources. Create/modify Perl scripts, produce design documentation and data flow diagrams, collaborate with QA and business users, troubleshoot issues, and cross-train team members. Follow secure development practices and support performance and integration testing.

Design and build scalable batch and streaming data pipelines and a semantic data layer for connected vehicle telemetry. Collaborate with data owners and analytics stakeholders, implement cloud MLOps (GCP/AWS), ensure data quality and monitoring, integrate cloud AI tools, and mentor junior engineers.

Analytics Engineering Intern supporting data modeling, dashboard development, reporting, data quality validation, and business insight generation. The role involves writing SQL, building Looker Studio dashboards, collaborating with stakeholders, presenting findings, and using AI coding assistants responsibly. Candidates must be enrolled in a quantitative undergraduate program and have basic SQL and Git knowledge.

Supports Stellantis Portfolio Planning by evaluating automotive market trends, customer interests, and competition. Assists with designing, executing, and analyzing consumer research, then converts data and observations into insights, implications, and recommendations for strategic vehicle product planning. The internship is project-oriented, full-time, and conducted on-site at Stellantis headquarters in Auburn Hills, Michigan, from May through August 2027.

Analyzes automotive business data to create dashboards, data models, business cases, and actionable recommendations. Partners with operations, PMO teams, and customer stakeholders to identify trends, quantify improvement opportunities, monitor performance, and support strategic decisions. Presents insights through visualizations, reports, and presentations while managing analysis across multiple customer programs.

Designs and maintains scalable data pipelines, warehouses, lakes, integration solutions, and analytics platforms. Develops AWS and Snowflake data solutions using Python, SQL, dbt, ETL/ELT, and Data Vault modeling. Supports replication, APIs, governance, metadata, lineage, and data quality across enterprise environments. Troubleshoots complex data issues and provides technical leadership while collaborating with engineering, architecture, analytics, and business teams.