Top Data & Analytics Jobs in Ann Arbor, MI

Design, build and maintain scalable, auditable analytics-ready data models (primarily in dbt) for PBM and care navigation. Implement data quality checks, CI/CD, documentation, pipeline orchestration, and partner with stakeholders to enable self-service analytics and AI-enabled workflows.

Lead design and evolution of a cloud-native Snowflake data platform using medallion/lakehouse patterns. Implement governance, security, ingestion integrations, cost forecasting, and observability. Collaborate with Azure teams, mentor engineers, and translate architectural trade-offs for stakeholders while championing AI adoption.

Founding sales-intelligence analyst building data models, scoring/prioritizing account opportunities, packaging analysis for non-technical stakeholders, presenting to sales leadership, and iterating with sales and operations to drive pipeline growth.

Lead the BI function—manage BI engineers, analysts, and PMs; develop strategic BI vision and data roadmap; oversee data modeling, transformation, visualization, governance, QA, and stakeholder engagement to move reporting toward analytical and predictive insights.

Support research and analysis of social and environmental impact for investments, focusing on climate risk and greenhouse gas management. Conduct market and company research, synthesize findings, prepare analyses and presentation materials, and support deal teams and portfolio engagement on responsible investing and sustainability topics.

Build dashboards and reports tracking enrollment, attendance, engagement, and attrition. Develop predictive models to identify at-risk students, analyze withdrawal causes, monitor early-warning indicators, partner with cross-functional teams to design retention interventions, and present insights to leadership while supporting data pipeline accuracy.

Senior, hands-on role defining enterprise data architecture and standards across cloud platforms (Snowflake, Databricks, Azure). Design data models, integration patterns, governance, and pipelines to support analytics and AI/ML. Lead platform decisions, ensure security, metadata, and MDM; mentor teams and drive architecture reviews and documentation.

Lead enterprise data strategy and governance to establish semantic architecture, metadata, lineage, stewardship, and standards enabling trusted data for AI, analytics, and operations. Define operating model, policies, reference architectures, and roadmaps while partnering with Legal, Compliance, Security, Technology, and business leaders to ensure regulatory compliance and enterprise-wide adoption.

Design, build, and maintain Workday reports, dashboards, Adaptive Planning sheets, and automations. Deliver workforce analytics, forecasts, and visualizations to support workforce planning and data-driven HR decisions. Collaborate to develop scorecards and influence business outcomes with real-time and forecasted people data.

Design, build, and maintain scalable, reliable data systems and pipelines. Partner with Product, Sales Ops, and Finance to deliver analytics and self-service tooling. Maintain SLOs, improve pipeline reliability, implement testing and documentation, and contribute to data platform strategy and operations.