Top Data & Analytics Jobs in Ann Arbor, MI

Own and build audit-ready data architecture, ETL pipelines, and validations to support internal audit. Maintain inventories, playbooks, and catalogs; assess downstream impacts of schema changes; implement automated data quality checks and monitoring; and translate audit/business requirements into technical specifications for stakeholders.

Lead analytical detection of Medicaid fraud, waste, and abuse in home- and community-based care. Translate findings into detection logic and product requirements, validate tools, and present insights to state agencies and payers. Collaborate with product, engineering, and clients to embed operationally credible, actionable program integrity capabilities.

Perform quantitative and qualitative analysis, build reports and dashboards, produce datasets, troubleshoot data issues, and present findings to stakeholders. Collaborate across teams and third parties to define reporting specs, improve data quality, and recommend KPIs and best practices to support decision-making.

The Business Intelligence Analyst analyzes complex data for finance teams, develops reports and dashboards, and enhances financial reporting solutions. They collaborate with teams to ensure reporting accuracy and alignment with business needs.

Manage the full data quality lifecycle for constituent records in Salesforce: deduplication, merges, data appends/enrichment, imports/exports, vendor management, audits, governance, reporting, staff training, and supervise a team focused on CRM data hygiene to support nonprofit fundraising operations.

Work across data infrastructure and analytics: build and maintain dbt models, ingest and transform data, create dashboards and semantic layers in Power BI, validate AI-generated code, partner with stakeholders to deliver analyses and data products, and improve data governance and documentation.

Design, build, and optimize scalable batch and streaming data pipelines. Model and process structured and unstructured data, ensure production reliability and observability, apply ML techniques for insight extraction, and drive data strategy while adopting modern tooling and IaC practices.

Build, maintain, and improve AI-driven automations and data systems. Own Power BI dashboards and underlying pipelines (Python, SQL, DAX), manage complex margin/profit-share processes, create low-code AI automations (Claude, Zapier, Make), ensure data governance, and document/support solutions for company-wide use.

Design and analyze experiments, measure campaign incrementality, identify customer segments and engagement opportunities, validate tracking and anomalies, surface actionable insights, and build scalable measurement infrastructure with cross-functional partners.

Lead commercial real estate market research and produce reports, economic outlooks, and client-facing insights. Maintain property databases and market statistics, support broker pursuits and financial modeling, collaborate with valuation, capital markets, GIS, IT and marketing teams, and build relationships with media and stakeholders to elevate Colliers' research and brand.