Top Remote Data & Analytics Jobs in Ann Arbor, MI

Build and maintain scalable Python-based data pipelines and backend services for analytics and ML workflows. Design software systems, support analytics/model training and deployment platforms, implement CI/CD and IaC, manage AWS/on-prem environments, monitor and improve pipeline reliability, and evaluate new AI technologies to increase platform efficiency.

The Senior Analyst will design lead scoring models, automate workflows, and utilize AI tools to derive insights for sales and marketing collaboration. They will also maintain documentation to ensure team efficiency.

The Instructional Designer I creates high-quality online courses, interacts with various teams, and requires strong communication and project management skills.

Lead the analytics team for the third-party agent business, driving business strategy, product analytics, and AI-powered insights while fostering cross-functional partnerships.

The Principal Statistical Programmer manages statistical programming for clinical trial data, ensures quality and compliance for CDISC standards, and mentors junior staff.

The Forward Deployed Marketing Data Scientist will work with AI customers and engineering teams to optimize AI-driven marketing campaigns through data analysis, diagnostics, and communication of insights to stakeholders.

The Clinical Business Analyst designs, develops, and maintains reports and dashboards in the Epic EHR system, ensuring accurate data and communication with users.

The SAP IBP Analyst will optimize supply chain planning processes in e-commerce, focusing on SAP IBP modules, system integrations, and stakeholder management.

The Senior Pricing and Paywalls Product Analyst will automate analytical data collection, analyze product metrics, organize A/B tests, and support the generation of product hypotheses to identify growth opportunities.

Lead design and delivery of enterprise BI and analytics solutions for healthcare coding and clinical data. Define BI architecture, data models, ETL pipelines, cloud-native analytics, and implement agentic/generative AI analytics for global customers while guiding engineering best practices and mentoring teams.