Top Remote Analysis Reporting Jobs in Detroit, MI

As a Jr. Sales Commission Analyst, you will calculate commission payments, prepare statements, resolve discrepancies, and ensure compliance with SOX controls while maintaining data accuracy.

Design, develop, and manage data infrastructure for internal and client projects, focusing on large-scale data pipelines, APIs, and cloud deployments.

The Lead Data Consultant will design and deliver scalable data solutions, manage project teams, and optimize client data environments, ensuring effective project execution and communication.

The Manager of Data Engineering will lead a team to provide analytics solutions for lab operations, manage end-to-end projects, and ensure data quality and transparency.

The Data Analyst will gather stakeholder requirements, create reports in Sigma, utilize SQL for data manipulation, and analyze data trends for strategic decisions.

The Data Engineer will design and maintain data pipelines, optimize cloud data warehouses, and collaborate with analytics teams while mentoring junior staff.

The Director of Data & Analytics will lead the internal analytics function, developing data models, analytical frameworks, and savings methodologies to support value-based care and market expansion at RightMove.

The QA Analyst is responsible for ensuring product excellence through user requirement testing, defect management, and automation of software workflows. They create test cases, prioritize execution, conduct exploratory testing, and work closely with QA engineers to enhance automation coverage.

The Data Quality Executive maintains accuracy in Cision's media database, conducts research on media outlets and journalists, writes summaries for newsletters, and manages data quality projects.

Serve as an AI/ML-focused solution engineer for Healthcare & Life Sciences: provide technical guidance, design cloud data and lakehouse architectures on Snowflake, lead demos and proofs-of-concept, support sales cycles, collaborate with product and engineering, and communicate AI/ML value to technical and executive stakeholders.