Top Analysis Reporting Jobs in Detroit, MI

The Senior Claims System Analyst will lead technical projects related to claims processing, ensuring system integration and compliance while optimizing vendor relationships and documentation.

The Director of Data will lead the data organization, drive data strategy, oversee the data platform, and ensure high-quality data products across OneImaging, contributing to decision-making in operations and product development.

As a Staff Software Engineer in Data Engineering, you will design, build, and optimize robust data systems to ensure data quality, performance, and stability, while mentoring team members and collaborating with cross-functional teams.

As a Senior Workforce Intelligence Manager, you'll drive insights in HR, build analytics tools, collaborate with stakeholders, and support data-driven decisions.

As a Data Analyst, Growth at Kraken, you will analyze complex marketing data to provide actionable insights that enhance client acquisition, retention, and decision-making through data engineering, reporting, and experimentation.

The Business Analyst analyzes business needs, recommends solutions, documents requirements, and liaises between business and IT for system enhancements and testing processes.

As a Senior Data Engineer, you'll design and build data pipelines, automate processes, and collaborate with business teams to support analytical needs, ensuring data quality and optimization for ML workloads.

The Audit Analyst collects and analyzes pharmacy data, prepares reports, manages projects, and communicates complex financial concepts to clients. Requires strong analytical and communication skills, along with project management capabilities.

The role involves analyzing retail POS data, delivering insights to clients, and managing client relationships while utilizing AI tools for analysis.

The Senior Data Analyst is responsible for executing data strategy, analyzing data, documenting requirements, and collaborating with stakeholders to provide insights and validate data quality within the enterprise data platform.