Top Analysis Reporting Jobs in Detroit, MI

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.

Enters, reviews, cleans, and maintains driver and vehicle test data in customer databases and tracking files. Analyzes data for errors, duplicates, outliers, patterns, and trends; communicates findings and maintains documentation. Collaborates with drivers, test engineers, and project managers while following customer policies, safety procedures, and deadlines. The role also includes administrative recordkeeping, including labor and expense reports.

Designs, builds, tests, and supports enterprise data pipelines for acquired-company system integration and Snowflake archival. Translates business and technical requirements into mappings, transformations, quality controls, monitoring, and deployment plans. Collaborates with architecture, security, infrastructure, application, business, and vendor teams to deliver governed, reusable data solutions. Supports migration, cutover, validation, documentation, hypercare, and operational handoff while improving automation, performance, cost efficiency, and data observability.

Collect, validate, and manage quality data from ERP, QSYS, and Excel. Develop and maintain Qlik Sense/QlikView dashboards for COPQ, complaints, warranty, audits, and scorecards. Produce regular and ad-hoc reports, support CAPA monitoring, collaborate with IT and cross-functional teams, and drive data-driven quality improvements across multi-site manufacturing.

Develop and support Qlik solutions across the full application lifecycle, including requirements analysis, data integration, scripting, modeling, transformation, testing, deployment, troubleshooting, and production support. The role emphasizes Qlik Cloud modernization, automation, cloud connectivity, enterprise data sources, and scalable technical solutions. It also requires collaboration with stakeholders and technology teams, documentation, standards development, continuous improvement, and identifying opportunities to apply AI and automation.

A 12-week Client Experience internship supporting client outreach, speech analytics, CX metric analysis, reporting, training materials, process improvements, and business initiatives. Interns will collaborate across CX divisions, analyze client requests and business-unit performance, develop recommendations, and present ideas to leadership. The role is fully on-site in Pontiac, Michigan, from May 17 through August 6, with a 40-hour Monday-through-Friday schedule.

Supports the commercial organization through business intelligence, reporting, dashboards, customer insights, CRM data management, Voice of Customer programs, and commercial analytics. Analyzes pipeline, revenue, profitability, forecasting, and customer data to improve sales productivity and decision-making. Partners with Commercial, Marketing, Finance, Operations, and Leadership teams on pricing, process improvement, data governance, and growth initiatives.

Analyze marketing and digital marketing performance across social, web, app, and email channels. Develop segmentation, attribution, funnel, conversion, retention, KPI, dashboard, and competitive analyses. Design A/B and multivariate experiments, identify data issues, and translate statistical findings into actionable recommendations for stakeholders and senior leaders. Collaborate with technical teams to improve data reliability and support consumer acquisition, retention, and product performance.