Top Senior Data & Analytics Jobs in Ann Arbor, MI

As a Senior Data Engineer, you will design ETLs for large customer datasets, improve integration tools, and mentor other engineers, impacting customer onboarding and data accuracy.

The Data Enablement Analyst leads the development of Data Enablement strategies, partners with stakeholders to enhance data literacy, and coordinates data governance initiatives within GM Insurance.

The Senior Analyst will ensure ERP systems maintain compliance, execute validation and testing activities, and support various business processes, primarily Oracle EBS. Responsibilities include validation planning, risk assessments, and collaboration with stakeholders.

The Director of Business Intelligence & Analytics at RapidSOS will spearhead data-driven strategic planning, metric governance, and AI-driven analytics to inform executive decisions and foster growth.

The Manager of Operational Analytics leads a team to improve partner relationships through analytics, overseeing reporting, performance dashboards, and implementing AI tools for enhanced insights.

The Senior Data Engineer will design and build scalable data platforms, handle automation for data operations, and ensure reliability and performance of data pipelines while collaborating with various teams.

The Sr Data Analyst is responsible for ensuring data integrity and providing in-depth analysis to resolve complex issues while collaborating with various internal and external teams.

The Senior Technical Business Systems Analyst improves collaboration and productivity by leveraging tools like Microsoft 365 and AI, optimizing systems, and driving adoption across the organization.

This role involves managing enterprise data assets, aligning data strategies with business goals, and facilitating collaboration across teams to develop and optimize data capabilities.

This role manages the BI platform's day-to-day operations, develops analytics solutions, enhances capabilities, and partners with teams to fulfill reporting needs. Responsibilities include monitoring system performance, data governance, and ensuring data quality while delivering actionable insights to support business growth.