Top Analysis Reporting Jobs in Detroit, MI

Lead design and implementation of ETL/ELT pipelines and database migrations into Databricks; model and optimize Lakehouse/data warehouse structures; ensure data quality, security, and observability; collaborate with cross-functional stakeholders and document data flows for analytics readiness.

Design and maintain data integrations, pipelines, and Power BI dashboards to provide schedule, cost, and readiness visibility for GM Defense programs. Build analytic datasets, automate workflows (Power Platform), support BOM/configuration quality, retire legacy tools, and deliver documentation and ad-hoc analysis to support decisions and continuous improvement.

The Quality Systems Intern will assist in developing and improving the Quality Management System (QMS), support audits, documentation updates, and help implement quality tools in an automotive manufacturing environment.

Lead detection, investigation, and mitigation of payments fraud across cards and mobile. Build and own risk controls, metrics, reporting, and cross-functional analytics projects using SQL and BI tools to scale monitoring and partner with product, data science, and engineering.

Support default management by analyzing mortgage performance, designing operational strategies, and collaborating with cross-functional teams to enhance risk management.

The Senior Workforce Management Analyst will optimize staffing and operational performance using WFM systems, collaborate with teams, analyze data, and drive improvements within clinical operations.

The Business Intelligence Engineering Manager will lead an analytics team, drive insights, manage operations, and optimize data models while collaborating across departments and ensuring data quality and governance.

The Business Intelligence Lead will build and refine measurement systems, translating business objectives into metrics, ensuring data accuracy, and providing insights for strategic decision-making.

Lead analytics engagements focused on Adobe Analytics and Customer Journey Analytics: implement/configure tools, build dashboards and reports, provide training and enablement, deliver insights to improve customer experience, and ensure data security and privacy compliance.

Lead statistical consulting and programming for clinical trials: design and finalize SAPs, develop randomization and IVRS specs, create and validate ADaM/SDTM analysis datasets, generate tables/listings/graphs, perform analyses (including interim/blinded), mentor/QA programmers, and support regulatory reporting and ad-hoc analyses.

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.