Top Remote Data & Analytics Jobs in Ann Arbor, MI

The Staff Data & Analytics Engineer manages data engineering processes, develops ETL/ELT solutions, ensures data quality, and provides insights for supply chain operations.

The Business Insurance Analytics Manager will lead a team to analyze claims data, support client negotiations, and develop analytics strategies for client retention and growth.

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

The Director Analyst will oversee the procure to pay lifecycle, master data management, and procurement data analytics, ensuring integrity and optimizing operations.

The Senior Analyst, People Analytics analyzes workforce data, translates business questions into KPIs, and collaborates with various teams to deliver insights and reporting solutions.

As a Revenue Integrity Analyst II, you will audit charges, analyze billing data, ensure compliance, and collaborate with cross-functional teams to improve revenue integrity.

The Lead Quantitative Analytics Associate conducts statistical analyses and builds predictive models, responding to business needs and enhancing existing models. They work with large datasets, ensuring data management and model maintenance, while communicating insights effectively within the organization.

The Analyst, Payments Risk- Shadow Risk Monitoring conducts merchant onboarding, risk reviews, and oversight of merchant risk monitoring while communicating with internal teams and clients.

The Actuarial Specialist produces analyses, manages projects, and oversees team workload to enhance actuarial processes in the organization, ensuring business growth and profitability.

As an intern, you will design and optimize dashboards in Sigma, write SQL queries for data extraction, and use Python for data manipulation, all while collaborating with the data team.

The Enterprise BI Consultant will lead BI efforts, manage projects, translate requirements into BI solutions, train users, and ensure data accuracy.