Top Entry Level Analysis Reporting 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 outdoors, travel between survey locations, walk considerable distances, follow instructions, submit accurate data, manage an independent schedule, meet deadlines, and communicate with the project team. The long-term project requires surveying approximately 400 areas every three months. Transportation and fuel expenses are not reimbursed.

Supports infrastructure technology projects by analyzing business data, defining technical requirements, researching and testing solutions, improving systems and processes, preparing RFPs and contract scopes, coordinating technical teams, and providing end-user training and support. The role covers Microsoft 365, networking, servers, workstations, VoIP telecommunications, ServiceNow integrations, asset management, inventory, and CMDB discovery.

Supports reporting and analytics across multiple workforce programs. Responsibilities include compiling performance data, gathering stakeholder requirements, developing and testing reports with technology partners, reconciling data quality, analyzing trends, documenting reporting procedures, troubleshooting reporting issues, and advising program teams. The role is client-facing and presents ACUMEN business analytics products to customers.

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.

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.

Develop and maintain ServiceNow reports, dashboards, performance analytics, data extracts, and Power BI executive reporting. Build data models, KPIs, measures, and visualizations for operational performance, compliance, service health, and engineering effectiveness. Automate reporting, data collection, validation, distribution, and notifications using Power Automate, PowerShell, Python, or similar tools. Support Workspace ONE, Intune, macOS troubleshooting, monitoring, endpoint compliance, incident resolution, documentation, and change management.

Analyze banking and financial crime data, develop and tune statistical and machine learning classification models, evaluate model performance, identify data quality issues, and recommend optimization strategies. The role uses Python and SQL for feature engineering, statistical modeling, automation, and large-scale data processing. Responsibilities also include documenting methodologies, reporting results to management and regulators, and collaborating with compliance, technology, business, and model governance teams.