Top Data & Analytics Jobs in Detroit, MI

Transform operational and financial data into actionable insights to support vaccine purchasing programs. Build dashboards and reports, monitor manufacturer contract compliance, analyze purchasing and enrollment trends, support revenue optimization and rebate/commission reporting, maintain Salesforce data integrity, and drive process improvement and automation across cross-functional teams.

Lead a team delivering actuarial, regulatory, and operational statistical reports and analytics. Ensure compliance with bureau submissions, drive reporting automation, define data requirements, lead UAT for policy/claims systems, and manage vendor and regulator interactions to support pricing, reserving, underwriting, claims, and financial analytics.

Lead technical design and implementation of cloud data pipelines and data warehouse models using PySpark, Snowflake, and AWS. Drive cloud migration, establish engineering standards, optimize performance, coordinate onshore/offshore teams, engage stakeholders, mentor junior engineers, and ensure delivery of insurance analytics solutions.

Build and maintain P&C actuarial pricing models and indication reports; refine pricing methodologies; analyze large datasets; automate workflows with Python, SQL, and Excel; create dashboards and presentations; collaborate with underwriters, claims, program teams, and reinsurers; and drive process and methodology improvements.

Lead digital measurement analytics for servicing platforms: design/validate data collection, build reporting and feature measurement, collaborate with stakeholders, mentor team members, and drive analytics roadmap and actionable insights.

Design, build, and maintain scalable data pipelines, data lakes, and databases; ingest and map customer financial datasets; monitor pipeline reliability; translate business requirements into data flows and analytical insights to ensure high-quality, usable data.

Build and maintain ETL/ELT pipelines, ingest and transform structured and unstructured data, integrate APIs and external sources, improve data quality and monitoring, support dashboards and ML pipelines, optimize warehouse and cloud performance, and contribute to data governance and documentation.

Lead post-sales and revenue analytics by integrating product telemetry, support signals, and revenue data. Build scalable data models, reusable datasets, and semantic layers. Define SaaS metrics, forecast revenue and usage, predict expansion and churn, and deliver dashboards and insights to drive renewals, expansion, and revenue growth.

As a Data Analyst Intern, you will collect, analyze, and interpret data, create visualizations, and support reporting efforts to drive business decisions.

Design, build, and maintain scalable cloud-based data pipelines and lakehouse platforms. Integrate diverse business systems, ensure data quality, support analytics and AI, implement governance, and mentor junior engineers while optimizing performance and enabling enterprise reporting and ML use cases.