Top Data & Analytics Jobs in Ann Arbor, MI

Lead analysis of business processes, document requirements, design IT solutions, and collaborate with stakeholders to drive business innovation.

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

The Business Analyst will assess operations, analyze data, strategize improvements, and collaborate with clients while supporting a consulting team.

The Senior Supply Chain Data Analyst analyzes complex supply chain data to provide insights for efficiency and decision-making, creating reports and dashboards, and collaborating across teams.

Support tariff management by classifying goods using HTS codes, conducting research on customs rulings, and communicating with clients.

Lead a global team to deliver economic and industry analytics, support strategy development, and present insights to business leadership.

This role involves data management and analysis of pricing systems, maintenance of pricing matrices, customer contracts, and rebate submissions, while collaborating with other departments.

Design and deploy object detection and tracking modules; develop ML algorithms; guide team members; improve data governance and quality assessment.

The Senior Business Systems Analyst leads business process analysis and optimization, manages complex initiatives, mentors junior staff, and ensures alignment with business objectives through stakeholder engagement and agile methodologies.

The role involves validating Anti-Financial Crime models, reporting findings, collaborating with teams on model performance, and enhancing validation standards.

The VP, Regional Policy Analyst will ensure compliance with credit policies across regional teams, review credit risk metrics, and manage strategic projects related to credit policy and portfolio quality monitoring.

The role involves driving data governance strategy and practices across the Bank, collaborating with cross-functional teams, leading data quality initiatives, and mentoring analysts while ensuring compliance with data governance standards and improving data quality.