Top Remote Data & Analytics Jobs in Ann Arbor, MI

The Data Manager will support partners by addressing data needs, managing issues, and implementing best practices for effective data use in civic engagement campaigns.

As a Data Engineering Analyst, you will build and maintain data pipelines, support HR analytics, and ensure data accuracy for organizational insights.

The Senior Data Analyst will analyze e-commerce operations and pricing strategies, build reporting infrastructure, and collaborate with teams to drive data-informed decisions for revenue growth.

The Senior Manager will lead optimization initiatives in payments, focusing on data analysis, ROI modeling, and strategic guidance to enhance revenue growth.

The Business Systems Analyst translates business requirements into software solutions, collaborating with teams to design, test, and implement solutions while ensuring stakeholder alignment and documentation management.

The IT Auditor manages and conducts internal and external audits, assesses security risks, identifies control gaps, and provides audit training. Requires collaboration with compliance teams and effective communication of audit results to management.

The Senior Data Analyst will analyze data, build models, and provide insights to support decision-making for operational and leadership teams, while collaborating with technical and non-technical stakeholders.

The role involves leading data analysis efforts at Capital One Software, managing projects, and driving strategy while fostering innovation and collaboration across teams.

The Senior Analyst, FP&A will develop financial models, support management with strategic insights, manage budgets, and communicate financial analyses to stakeholders.

The Lead Data Analyst will analyze complex datasets to provide actionable insights, develop advanced analytics, and improve operational efficiency. They will collaborate with stakeholders and monitor performance metrics to drive business growth.

Analyze extensive datasets to uncover insights about medical professionals, shape data strategy, and collaborate on data projects with product leaders and other stakeholders.