Top Data & Analytics Jobs in Detroit, MI

Lead design and implementation of scalable data architectures in Azure/Databricks/Fabric, enhance governance (Unity Catalog), improve data quality frameworks, build resilient ingestion/transformation pipelines, modernize CI/CD and source control, support production and analytics/AI use cases, and collaborate with stakeholders to move proofs-of-concept to enterprise solutions.

Analyze programmatic revenue and sales pipeline health, build and maintain automated dashboards and BI reports, reconcile compensation and revenue attribution, model margins and rate cards, and synthesize large marketplace datasets for executive reporting and pacing analyses.

Lead the Master Data Management upgrade project from version 10.1 to 11.4, ensuring effective implementation and system integration.

This role involves leading the Data & AI team, building modern data platforms using Microsoft technologies, overseeing project delivery, and mentoring team members while engaging with clients.

The Business Objects Architect will manage the administration, governance, and architecture of Business Objects solutions, ensuring standards are maintained and coordinating upgrades.

As a Digital Product Analyst, you will analyze user data to inform product strategies, define KPIs, and enhance user experiences for digital products.

Own client-facing analytics and attribution: establish baselines, implement tracking and lead-to-sale matching, run holdout and lift experiments, quantify cost avoidance, build cross-client benchmarks, and translate findings into clear ROI narratives that inform pricing, product, and renewal conversations.

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).

Lead people analytics strategy and execution: build HR data governance, remediate UKG Pro data quality, deliver enterprise people scorecards and dashboards, advance analytics from descriptive to predictive, and partner with HR, Technology, and Finance to drive data-driven workforce decisions.

Design, build, and maintain ETL workflows and data integrity checks for VA enterprise systems. Lead technical execution for ETL developers, peer-review code, monitor ETL performance, validate SQL reports, store packages in GitHub, and coordinate staffing and best-practice training across Scrum teams to support cloud migration and analytics/AI delivery.