Top Data & Analytics Jobs in Ann Arbor, MI

Lead statistical analysis for clinical studies in oncology and cardiology, provide project leadership, and mentor junior biostatisticians while ensuring regulatory compliance.

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Performs production statistics and reporting for a glass manufacturing operation. Trains line leads on production reports and ERP entry, reviews data accuracy, counts inventory materials, summarizes attendance, records machinery output, tracks KPIs, and prepares daily and monthly reports. The role supports production management, cost accounting, performance management, and reward calculations while coaching department employees. Work occurs in an office, warehouse, and production-floor environment with little to no travel.

The Statistician supports production management through accurate daily and monthly reporting, ERP data entry, inventory counts, attendance summaries, machinery output tracking, KPI reporting, and production result analysis. The role trains line leads on reporting procedures, reviews data accuracy and timeliness, calculates performance-related rewards, and collaborates with cost accounting management. It is a full-time, primarily office-based position with occasional floor and warehouse duties and little to no travel.

Analyzes complex insurance data and business processes to develop reporting, data models, proprietary tools, and analytical solutions. Partners with internal teams, agents, and customers to gather requirements, communicate insights, improve processes, and support business growth. The role includes project management, report design, database modeling, quality review, stakeholder presentations, and mentoring less experienced team members.

Leads the integration workstream for an Informatica SaaS MDM implementation. Designs, develops, tests, deploys, and supports batch, real-time, API-based, and event-driven integrations across enterprise systems. Establishes architecture and development standards, manages source-to-target mappings and reconciliation, troubleshoots production pipelines, and ensures governance compliance. Mentors offshore developers, conducts code reviews, and collaborates with business, MDM, data quality, and source-system teams throughout project delivery.

Analyze complex business data to identify trends, risks, and opportunities; build Power BI dashboards, data models, predictive analytics, forecasting tools, and automated reports using SQL and Python. Support inventory optimization, supply-demand balancing, and aftermarket operations while partnering with planning, supply chain, finance, operations, and IT teams. Translate business needs into analytics solutions, present recommendations to stakeholders, and contribute to cross-functional process improvement and business intelligence initiatives.

Build and maintain Power BI reports and dashboards using Microsoft Fabric semantic models. Responsibilities include data modeling, DAX development and optimization, report validation, security implementation, stakeholder requirement gathering, certified dataset creation, and cross-team presentation of insights. The role also requires using AI tools, supporting self-service analytics, and collaborating on peer reviews and data-quality initiatives.

This role involves analyzing supply chain processes, focusing on purchasing and inventory, and requires report writing and analytical skills.