Top Remote Data & Analytics Jobs in Ann Arbor, MI

Lead analytics work translating complex healthcare data into decision-ready insights. Own KPI definitions, Snowflake data marts with dbt, executive dashboards in QuickSight, and cross-functional analyses to inform strategy, product, and operations.

The Senior Data Analyst will analyze data, build models, and provide insights to support decision-making for operational and leadership teams, while collaborating with technical and non-technical stakeholders.

Lead analytics for Sales Performance Management in Business Banking by extracting, analyzing, and visualizing complex data. Deliver actionable insights, recommendations, and reports; partner with stakeholders and technical teams to build validated dashboards and drive business optimization.

The Senior Manager, FP&A will manage budgeting, forecasting, and reporting, drive financial insights, partner with executives, and mentor junior team members.

The Senior Business Analyst will optimize Lead-to-Order and Contract Lifecycle Management processes using Salesforce, lead projects and drive process improvements.

As a Lead Product Data Analyst, you'll drive data-informed decision-making across teams, develop data products, collaborate on metrics, and influence product strategies.

Support GitLab's go-to-market planning, target setting, compensation design, analytics, and capacity planning for revenue growth.

As a Data Engineer, you will design and maintain data pipelines, build data storage systems, and support analytics workflows, ensuring data reliability and performance. You will collaborate with engineers to define data structures and improve data management practices.

The Cloud Data Architect will design and implement data architecture solutions within a SaaS environment, ensuring data security and efficiency while leading technical standards and collaborative teams.

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.