Top Data & Analytics Jobs in Detroit, MI

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

The Reporting & Documentation Specialist will build and maintain dashboards and reports within the ProScore Core Portal, using SQL and Stimulsoft, while ensuring accurate documentation and collaboration with stakeholders.

Analyze digital customer journeys and site behavior to identify friction, explain marketing performance, and provide actionable insights. Maintain dashboards, support A/B and multivariate testing, collaborate with developers on tagging and tracking, and drive optimization to improve conversion and retention.

As an Energy Analyst, you will manage demand response programs in NYISO and PJM, monitor compliance, track client performance, and prepare market intelligence. This role requires strong analytical skills and interaction with various teams.

Analyze commercial data for sales, marketing, service and support to create metrics and insights for optimization. Collaborate with cross-functional teams to provide data-driven recommendations and manage business intelligence tools.

Design, build, and maintain scalable ETL/data pipelines across distributed systems. Ensure data quality, integrity, security, and high availability. Monitor and optimize pipeline performance, perform root cause analysis, document systems, collaborate with global teams, and participate in on-call rotations to support production data systems.

Lead analytics for product or business domains by transforming data into actionable insights. Define and track KPIs, build dashboards and reports, perform EDA, cohort/funnel and A/B test analysis, validate data quality, partner with Product and Engineering, use AI tools to accelerate analysis, mentor junior analysts, and manage end-to-end analytical projects.

Lead architecture and hands-on engineering to design, scale, and govern a cloud-native lakehouse using Databricks and Microsoft Fabric. Build batch/streaming pipelines, ensure HIPAA-compliant PHI handling, produce analytics-ready datasets, mentor engineers, and drive platform strategy, governance, and reliability.

Design, develop, and manage data infrastructure for internal and client projects, focusing on large-scale data pipelines, APIs, and cloud deployments.

Lead and manage a small team to intake, frame, prioritize, and hand off data initiatives. Translate business needs into solution blueprints, ensure alignment with architecture and governance, define KPIs, track ROI, and drive stakeholder alignment across Claims, Finance, Marketing, and Operations.