Top Remote Data & Analytics Jobs in Ann Arbor, MI

You will analyze data, support business teams with insights, enhance dashboards, and manage stakeholder relationships to improve operational efficiency.

Build, optimize, and maintain web analytics data and reporting. Deliver weekly reports and insights, perform deep-dive analyses, recommend website optimizations, partner with paid digital and email teams, and ensure accurate Adobe Analytics implementations.

Maintain and ensure database accuracy, backups, security, and integrity. Develop and implement data standards and procedures, coordinate data collection, monitor compliance, troubleshoot data issues, and collaborate with IT to optimize data management.

Lead scaling of Arbital's AWS/Databricks lakehouse and Spark pipelines, implement actuarial healthcare calculations, own Airflow orchestration and CI/CD, ensure data quality and HIPAA-compliant PHI handling, partner with data scientists to deploy ML models, and set platform architecture and engineering standards.

Design, build, and maintain scalable backend systems and data pipelines to generate point-of-care insights; collaborate with product and engineering stakeholders; mentor junior engineers; ensure solutions are secure, performant, maintainable, and support analytics and unified metrics collection.

Design, develop, test, maintain, and support secure, scalable data solutions using Snowflake and Databricks. Lead technical design, author specifications, review code, mentor engineers, ensure SDLC, audit/security compliance, and drive technical strategy while collaborating with architects and business partners. Participate in Agile ceremonies, be on-call as needed, and travel occasionally.

Lead architecture and delivery of a global analytics platform: build pipelines, semantic models, embedded analytics, and client-facing data products. Recruit and mentor analytics engineers, enforce governance, ensure observability and SLAs, and partner with executives and product teams to translate business needs into production-grade analytics solutions.

Lead and scale companywide analytics for a DTC marketing business: own marketing measurement, financial forecasting, retention/LTV modeling, data architecture, reporting, and the analytics team. Set analytics strategy, oversee data engineering roadmap, build dashboards, apply statistical and ML methods, and translate insights into executive-level decisions.

Lead end-to-end data migration projects into Salesforce: cleanse and dedupe large datasets, design ETL and mappings, coordinate with clients, test migrated data, provide technical support, and document migration standards and procedures.

Lead measurement strategy for a book of clients using statistical modeling (MMM), incrementality experiments (MMT), and customer analysis. Build insights from large datasets with R, Python, and SQL, present actionable recommendations to clients, mentor analysts, improve measurement processes, and leverage Nova and AI to optimize deliverables and impact business goals.