Top Analysis Reporting Jobs in Detroit, MI

Lead a global, AI-first Data Analytics and BI organization that integrates internal teams and vendors to deliver proactive, predictive insights. Design the future operating model, own metric governance and semantic layer, consolidate dealer and CX data, and migrate legacy reporting to cloud-native architectures while partnering closely with central tech teams.

Designs, builds, and optimizes modern Azure and Databricks data platforms for clients. Responsibilities include client discovery, requirements workshops, architecture discussions, batch and streaming ingestion, lakehouse and dimensional modeling, data transformation, governance, monitoring, DevOps, security, and solution reviews. The role also communicates recommendations to technical stakeholders and leadership while delivering scalable analytics and reporting solutions.

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

The Business Analyst will evaluate business systems, assist with data warehousing, prepare specifications, and optimize processes, requiring extensive experience and creativity.

This role involves analyzing supply chain processes, focusing on purchasing and inventory, and requires report writing and analytical skills.

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.

Support digitization and preservation of archival media (VHS, cassettes, 8mm film, slides, photos); create and input metadata; perform quality control; help maintain digital records and preservation best practices; assist archival staff on special projects.

Develop and maintain Palantir Foundry data pipelines, transformations, analytical workflows, dashboards, and user-facing applications. Analyze and validate data from multiple sources, translate stakeholder requirements into solutions, troubleshoot issues, and support data modeling, testing, documentation, and deployment. Apply Python, SQL, JavaScript or TypeScript, ETL/ELT, cloud, low-code, and UX/UI practices while collaborating with technical teams and government clients.

Designs enterprise data architecture, models, integration patterns, data pipelines, semantic models, governance standards, and access protocols. The role translates business and application needs into scalable data solutions, supports analytics, automation, AI, and application development, and collaborates with data engineers and stakeholders to deliver trusted, reusable datasets.

Architect, build, and evolve AWS-based data platforms and pipelines handling large, complex datasets. Optimize data solutions for scalability, reliability, performance, and cost efficiency. Collaborate with engineering and product teams, make architectural decisions, establish best practices, provide technical mentorship, and support modernization toward intelligent data architectures. The role involves Python, SQL, Databricks, Kubernetes, automation, DevOps, and agentic AI technologies.