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.

Build and scale telemetry data infrastructure and pipelines, create analytics and operational intelligence for site health, incident investigation, and predictive maintenance, and support dispatch optimization by analyzing telemetry, logs, and site performance to enable reliable operations across a growing fleet.

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 data engineering and architecture for data integration and data warehouse projects. Design and build data pipelines, define datasets and strategies, perform data modeling, configure and test ETL processes (Informatica), and work with GCP/BigQuery and Snowflake on Azure. Collaborate with stakeholders to prioritize business use cases and enable reporting.

Lead and execute applied research on law school access, affordability, and outcomes. Manage and clean data, run advanced statistical analyses, produce tables/visualizations and technical reports, maintain research tools, advise internal and external stakeholders, and present findings at conferences.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

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.