Top Data & Analytics Jobs in Detroit, MI

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Build and maintain dashboards and ETL pipelines to standardize logistics and packaging data, perform exploratory analysis and root-cause investigations, identify cost and efficiency opportunities, and deliver actionable insights to cross-functional stakeholders to improve inbound execution, pack density, and cost visibility.

Develop and maintain data pipelines and BI solutions for smart factory initiatives. Design data models, document data warehouses, build KPI dashboards, support ad-hoc analysis, and collaborate with stakeholders to enable data-driven decisions.

Lead regional economic intelligence and outreach, conduct qualitative and quantitative research, produce sector and district analysis for policy use, prepare publications and presentations, engage senior external stakeholders, and mentor junior economists.

The Senior Fraud Risk Manager designs and executes fraud strategies, analyzes data for business decisions, and ensures compliance with policies.

Design and implement analytic solutions to transform configuration data into actionable insights. Automate data collection from Oracle, Windchill, and TIPQA, build Power BI visualizations, perform statistical analyses, and recommend process improvements using RCCA and Lean while communicating findings to stakeholders.

Lead analytics engineering for Revenue, Marketing, and Finance by building scalable data solutions, data models, and dashboards; provide training and consultation, support ad hoc data needs, and translate technical findings into executive-level insights to improve operational performance.

Manage Finance-focused data products, collaborating with teams to define requirements and drive delivery for financial analysis and reporting.

Partner with stakeholders to gather and document data requirements, translate needs into user stories and technical specs, perform SQL-based data analysis, source-to-target mapping, and validation, support data quality, lineage, and monitoring, serve as primary requirements contact, contribute to Agile ceremonies, assist change management and rollout, and maintain operational and client documentation.

Lead design and ownership of analytical frameworks and cross-functional reporting for finance and operations. Translate leadership goals into structured analytics projects, standardize metrics and reporting, build business cases, deliver executive-level narratives, and develop predictive models and dashboards to inform strategic decisions across insurance operations.