Top Hybrid Data & Analytics Jobs in Detroit, MI

Lead data engineering efforts within Technology Consulting: design data architecture and pipelines, implement AWS/Redshift and ETL solutions, support BI (QlikView/Oracle BI), coach teams, manage client relationships and SLAs, apply systems thinking to optimize outcomes and validate solutions with stakeholders.

Lead development and analysis of a scenario-based market model to inform pricing, marketing, planning, and forecasting. Translate internal and external data into actionable consumer insights, present recommendations to senior leaders, manage supplier partners, drive platform enhancements, and collaborate across functions to integrate customer priorities into vehicle development.

The Data Engineer will support data initiatives, build data pipelines, perform statistical analyses, and develop BI dashboards to drive business decisions.

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.

The Senior Data Analyst will lead data migration, define data strategies, ensure data quality, and manage junior analysts while interfacing with senior stakeholders.

Design and maintain Power BI dashboards and data models, perform ETL with Power Query, reconcile and validate financial data, automate workflows with Power Automate and Power Apps, apply DAX/SQL/Python or R for advanced analytics, and partner with finance leadership to deliver executive insights and identify efficiency opportunities.

The Director leads the Social Intelligence Analytics team, advising clients, managing projects, and utilizing AI to derive insights from social media data.

This role involves leading the Data & AI team, building modern data platforms using Microsoft technologies, overseeing project delivery, and mentoring team members while engaging with clients.

The Senior Data Architect will design and implement data architecture strategies, integrating Oracle EBS with cloud services, overseeing data governance, and collaborating with cross-functional teams to optimize data workflows.

The Risk Statistician supports portfolio forecasting by developing statistical models, analyzing credit performance, and conducting ad-hoc analyses under senior guidance.