Top Senior Analysis Reporting Jobs in Detroit, MI

The Analyst designs, analyzes, and optimizes incentive programs, evaluates program effectiveness, develops dashboards, collaborates across channels, and communicates insights to stakeholders, driving measurable business impact.

As a Senior Data Engineer, you will design and optimize data pipelines using cloud-native solutions, collaborate with cross-functional teams, and implement best practices in data governance and DevOps.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

As a Data Analytics Team Lead, you will manage data infrastructure, oversee projects, lead a team of analysts, and ensure data accuracy and accessibility for various business needs.

The Senior Analyst will optimize payment processing workflows by designing dashboards, identifying trends with SQL, and collaborating across teams to enhance payment efficiencies.

Responsible for designing, developing, testing, and optimizing data integration solutions, focusing on financial month-end closure and ongoing production support.

The role involves analyzing insurance classification frameworks, creating mapping documentation, and communicating classification rationale while working with stakeholders.

In this role, you'll build and scale high-throughput data pipelines, ensure data quality, and leverage AI for improved data operations. You'll also lead initiatives in a fast-paced environment focused on real estate data engineering.

Lead and develop teams for hands-on labs, improving learning strategies and operational efficiency while collaborating across departments. Shape the future of technical learning and manage production operating models.

The Senior Business Analyst will lead end-to-end process discovery and define workflows utilizing AI and automation to improve operational efficiency.

The Senior Data Center Administrator is responsible for data center operations including inventory management, logistics, vendor coordination, and capacity planning. The role requires technical expertise and strong communication skills to ensure efficient data center environments across multiple locations.