Top Data & Analytics Jobs in Detroit, MI

As a Data Science Intern, you'll learn to translate business challenges into statistical problems, analyze large datasets, build machine learning models, and communicate insights effectively.

As a Senior Data Scientist, you will develop statistical models and machine learning algorithms to improve patient enrollment and trial management while ensuring compliance in a healthcare data environment.

The Senior Product Analyst will oversee product analytics projects, collaborating with teams to develop KPIs, conduct A/B testing, and provide data-driven insights to enhance decision-making.

Lead analysis of business processes, gather and document requirements, design and implement system solutions, support deployments, and create reports/dashboards. Collaborate with stakeholders and IT to improve systems, provide user training, and perform post-implementation reviews to enhance performance and efficiency.

Lead enterprise data ownership and governance to align customer experience with information architecture. Develop data usage frameworks, business rules, quality thresholds, and movement authorizations. Direct data stewards, analysts, and architects; prioritize remediation, support data integration and analytics, and guide development of data warehouse, data marts, and reporting solutions to support healthcare enrollment and billing operations.

Owns and codifies business definitions and calculation methods for legal spend analytics, audits legacy Excel/PowerPoint artifacts, validates analyses (SQL and AI), supports reporting and storytelling for senior law department and C-suite audiences, and helps migrate analyses into modern analytics tooling.

Analyze historical demand, occupancy, transactions and competitor pricing to optimize daily, monthly, and event pricing. Build dashboards, deliver revenue insights to leadership, and collaborate with Operations and Marketing to implement pricing and promotional strategies while maintaining data integrity.

Design, build, and maintain advanced Workday reports, dashboards, and analytics to inform workforce planning and talent strategy. Partner with HR, HRIS, IT, and business leaders to define metrics, validate and govern data, perform deep-dive analyses, support Prism integrations, and deliver executive-ready insights, documentation, and training to enable data-driven HR decisions.

Design, implement, and maintain dbt/Snowflake ELT transformations to convert raw clinical and multimodal health data into trusted, analysis-ready models; enforce data quality, lineage, testing, CI/CD, and documentation; collaborate with clinical and ML teams to harmonize ontologies and support de-identification and ETL across health systems.

Lead measurement and insights strategies across B2B client programs. Analyze earned/social/web data, conduct secondary research, build measurement frameworks and dashboards, deliver client-facing recommendations, mentor junior staff, and advance agency analytics capabilities.