Top Data & Analytics Jobs in Detroit, MI

Lead needs assessments and stakeholder engagement to design a centralized conservation data system. Advise on technical platform options, collaborate with IT, produce reports and presentations, and drive adoption across portfolios. May lead project teams and support adaptive management through data strategy and implementation.

The Sr. Data Modeler designs and implements data architectures, optimizes SQL queries, and develops data pipelines to support analytics initiatives ensuring scalability and alignment with business needs.

Build and maintain ETL/ELT data pipelines and storage for batch and real-time use. Partner with product and engineering to define requirements, ensure data quality, monitor pipeline health, integrate cloud data warehouses/lakes, optimize SQL/Python transformations, and document data flows and architecture.

Lead a team of BI engineers to design, govern, and deliver enterprise BI platforms, dashboards, and self-service analytics. Ensure data accuracy, KPI standardization, platform administration (Power BI/Tableau), semantic modeling, and stakeholder engagement while enforcing governance, driving adoption, and mentoring staff.

Lead enterprise data analysis and governance: elicit requirements, define KPIs, maintain logical data dictionary and data lineage, validate and curate data, design ETL/data integration needs, produce dashboards and actionable insights, drive automation/AI-first improvements and mentor junior team members.

Designs, implements, and maintains DataOps infrastructure and tools to ensure secure, resilient, and performant data pipelines and cloud storage. Automates workflows, monitoring, disaster recovery, and migrations while collaborating with product, DevOps, and infrastructure teams to meet business needs and compliance.

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 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.

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 and build BI solutions and dashboards, perform data analysis and SQL development, apply data governance and security, and lead requirements gathering and project coordination to drive process improvement and reporting accuracy across the health system.