Top Data & Analytics Jobs in Detroit, MI

Lead analytics projects using advanced and predictive modeling to optimize programs, forecast behavior, and drive revenue. Partner consultatively with business, IT, and SMEs across project lifecycle—intake through delivery—communicating results to stakeholders and senior leadership. Work independently on complex technical approaches and influence department strategy.

Lead a small data engineering team partnering with Engagement Marketing to build scalable ETL/ELT pipelines, ensure data quality, define marketing metrics, integrate trusted data with ad platforms, and drive the data roadmap to enable measurement and growth.

Lead measurement strategy for a book of clients, designing statistical models (MMM), experiments (MMT), and customer analyses. Use R, Python, SQL and ETL tools to extract insights, present advanced methodologies to stakeholders, provide strategic recommendations tied to business goals, mentor measurement analysts, drive process efficiencies, and leverage proprietary Nova tools and AI to optimize deliverables.

Manage model risk governance activities, produce complex reports, oversee risk metrics, assess model candidates, support audits, and lead projects.

Design, build, and maintain scalable batch and streaming data pipelines, cloud infrastructure, and the Enterprise Data Hub. Partner with stakeholders to productionize ingestions, ensure data quality, implement metadata/catalog solutions, mentor junior engineers, and support analytics and ML workloads using cloud and big-data tooling.

Design, build, and maintain Tableau dashboards and interactive reports; translate stakeholder questions into visual analytics; model and prepare data (SQL); validate and troubleshoot reporting; recommend visualization improvements; partner across teams to advance embedded analytics.

Analyze and reconcile asset and licensing data from multiple sources to support software sales and enterprise agreements. Produce MACD reports, identify data discrepancies, recommend clean-up actions, audit service contract exports, and deliver customer-facing insights to improve install base accuracy and prepare for license true-forwards.

Lead design, development, testing, deployment, and support of BI dashboards and data models (Qlik, Power BI, Excel). Build and optimize data visualizations, write complex SQL, collaborate with ETL teams, manage Qlik platform administration, provide L2 developer support, and lead cross-functional analytics and performance management initiatives to improve business operations.

Design and own end-to-end Databricks Lakehouse and AI/BI solutions across cloud platforms. Provide architecture, presales support, POCs, integration, estimations, mentorship, and technical leadership for multi-team deliveries, including batch and streaming data pipelines and GenAI integrations.

Design, modernize, and optimize hybrid cloud and legacy relational databases (Informix, DB2, MySQL, Oracle, PostgreSQL). Collaborate with engineers and security teams to implement migrations, performance tuning, data modeling, SQL/PLSQL development, automation, and DevSecOps practices to support cloud adoption and mission-critical operations.