Top Remote Data & Analytics Jobs in Ann Arbor, MI

Lead the design, development, and management of Workday integrations and Extend applications; oversee integration projects and ensure compliance with data security standards.

The Senior Analyst will support payment integrity disputes, investigate solutions, collaborate cross-functionally, and improve processes in claims operations.

The BI Analyst will create insights and visualizations, develop dashboards and reports, and collaborate with product teams to optimize business intelligence solutions.

As a Data Engineer, you will build and optimize data pipelines, ensuring accurate data delivery that informs pricing and market analytics at Alt.

The Director of Strategy, Planning, & Analytics will drive strategic initiatives, lead cross-functional teams, and bolster revenue growth by utilizing data insights.

The Senior Engineer, Data will architect and deploy data pipelines, optimize databases, collaborate with teams, and maintain data integrity. They will also enhance data architecture and improve processes using various technologies.

The Solutions Architect will lead the creation of AI-driven tools and data models, partnering with teams to transform complex datasets into actionable insights and developing robust dashboards and frameworks to empower business solutions.

The Head of Data & Analytics will lead a team to develop a data strategy, govern data systems, and deliver impactful insights across the company. Responsibilities include managing analytics and data platform architecture, fostering data-driven decision-making, and ensuring robust analytics infrastructure.

The Data Engineer will design and maintain ETL/ELT pipelines, optimize data processing jobs, and ensure data quality and availability.

As a Senior Data Engineer, you will manage data pipelines, ensure data quality, partner with teams for data-driven decisions, and improve the data platform while maintaining data integrity.

The Senior Data Engineer will create and manage data pipelines, ensuring data quality, collaborating with teams for data-driven decisions, and evolving the data platform.