Top Entry Level Data & Analytics Jobs in Detroit, MI

Supports data pipeline development, data modeling, wrangling, semantic layers, dashboards, and reporting using SQL, Python, AWS, and Snowflake. Collaborates with cross-functional teams to translate business requirements into data solutions and applies data governance, security, and quality practices. This co-op is designed for a currently enrolled university student available January 11 through June 25, 2027, and willing to relocate to Framingham, Massachusetts.

Collect and verify parking data across designated Detroit areas using a smartphone and mobile application. Work independently outdoors, walking considerable distances and traveling between assigned locations. Complete surveys within specified time windows, follow detailed instructions, manage schedules, meet deadlines, and communicate with the project team. The engagement is part-time, flexible, and long-term, with payment based on successfully surveyed areas. Transportation and fuel expenses are not reimbursed.

Performs production statistics and reporting for a glass manufacturing operation. Trains line leads on production reports and ERP entry, reviews data accuracy, counts inventory materials, summarizes attendance, records machinery output, tracks KPIs, and prepares daily and monthly reports. The role supports production management, cost accounting, performance management, and reward calculations while coaching department employees. Work occurs in an office, warehouse, and production-floor environment with little to no travel.

The Statistician supports production management through accurate daily and monthly reporting, ERP data entry, inventory counts, attendance summaries, machinery output tracking, KPI reporting, and production result analysis. The role trains line leads on reporting procedures, reviews data accuracy and timeliness, calculates performance-related rewards, and collaborates with cost accounting management. It is a full-time, primarily office-based position with occasional floor and warehouse duties and little to no travel.

Runs end-to-end data readiness assessments across enterprise source systems, including source connections, scans, profiling, quality analysis, scorecards, issue lists, and migration baselines. Validates findings with SQL, investigates defects, evaluates duplicates and sensitive data, establishes tolerances, and translates results into migration design, effort, and reconciliation decisions while collaborating directly with client data stewards.

The Technical Business Analyst is responsible for production support of Hadoop platforms, overseeing data acquisition, ingestion, preparation, and access, and managing incident resolution and operational tasks with a team.

The role involves analyzing data in the automotive domain, requiring strong skills in IT security, analysis, organization, and presentation.

Owns Hagerty’s Qualtrics experience-management platform, including survey programming, contact-list management, deployments, dashboards, and feedback outputs. Analyzes research and survey data to identify themes, develops reports and narratives, presents insights to stakeholders, and supports project timelines and communications. The role also coordinates with internal teams, maintains People Insights resources, and recommends improvements to research and reporting processes.

Leads consumer, category, market, and growth insights across infant formula and new ventures. Supports qualitative and quantitative research, opportunity sizing, commercialization, pricing, go-to-market strategy, KPI dashboards, syndicated data analysis, campaign evaluation, launch measurement, and executive reporting. Partners cross-functionally with Innovation, Marketing, Sales, Product Development, Finance, research agencies, and data providers to translate intelligence into actionable growth recommendations.

Designs, develops, and supports supply chain reporting, analytics, and AI-assisted workflow solutions. Responsibilities include building Power BI dashboards, Snowflake data and semantic models, DAX measures, Power Query transformations, KPI visualizations, workflow solutions, data validation, technical documentation, deployment support, and stakeholder engagement across procurement, inventory, warehousing, logistics, and supplier processes.