Top Data & Analytics Jobs in Detroit, MI

Build and operate Databricks-based lakehouse pipelines (medallion/Data Vault 2.0), resolve identity across systems, enable near-real-time CDC, integrate external partners, add observability, and partner with AI/product teams to deliver trustworthy data for BI, ML, and in-product features.

Lead end-to-end product analytics for New Content Experiences, partnering with Product, Design, Data Science, and Engineering to analyze large datasets, build tools, ensure data quality, and inform product strategy and decision frameworks.

Lead supply-and-demand forecasting for the psychiatry service line: build and maintain S&D models, integrate models into core data infrastructure, define operational metrics (capacity, clinician utilization, hiring targets), run forecast vs. actual audits, and partner cross-functionally to guide hiring, resource allocation, and operational improvements.

Manage and administer SQL Server, PostgreSQL, MySQL, and NoSQL platforms. Handle backups, archiving, security, performance tuning, ETL/SSIS and cloud data pipelines, and support reporting, DevOps, and application teams. Monitor jobs, troubleshoot issues, implement best practices, and drive automation and optimization across dev/staging/production environments.

Provide systems support and reporting for property management platforms: maintain Quickbase, Tableau, Power BI and Microsoft CRM/Power Platform components, build dashboards and custom reports, assist with migrations, month-end and gross potential rent reporting, manage ShareFile and user administration, and act as first-line support for tickets and system issues.

Administer and maintain CRM and data systems (EveryAction, Salesforce, BigQuery, CARTO), respond to staff and affiliate data/tech requests, ensure data quality and de-duplication, create and deliver training materials, build network capacity, manage vendor/consultant relationships, and travel occasionally for in-person trainings and support.

Define and lead the technical architecture for a lakehouse on AWS, build production pipelines and data models for time-series and multi-source data, introduce data governance and catalog foundations, author platform playbooks (ADRs, runbooks, Terraform modules), deliver projects end-to-end, and mentor engineers while representing the platform to senior leadership and non-technical stakeholders.

The Databricks Architect leads data engineering solutions, designing scalable Databricks platforms and managing cloud implementations. They work with clients, ensuring technical alignment and project execution.

The EDW Business Reporting Analyst designs and maintains enterprise dashboards, optimizing SQL queries for data extraction and analysis, while collaborating with stakeholders to drive impactful business decisions through data visualization.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.