Top Data & Analytics Jobs in Detroit, MI

Design and build a relational database application with a user interface and reporting. Partner with business to analyze needs, translate manual reports into automated solutions, and complete development, testing, deployment, documentation, and delivery of a production-ready, maintainable application using SQL, Oracle, and MS Access 2003.

Lead BI architect responsible for end-to-end implementation, enhancements, optimization, upgrades and migrations. Provide technical leadership, solution definition, client management, presentations, and agile/scrum delivery. Drive account growth and ensure certifications/technical excellence in SAP BusinessObjects and SAP BW/HANA.

Design, architect, and implement end-to-end data ingestion, storage, modeling, and provisioning solutions on the GE Predix platform. Lead cross-functional teams, set data architecture standards, develop OLTP/OLAP models, perform POCs, and enable analytics at scale while enforcing data management policies.

Analyze business domains and document processes, requirements, and data models. Gather business and technical environments, develop BRDs and technical requirements, support UAT and SDLC activities, coordinate testing and production updates, manage multiple projects, and present findings to stakeholders.

Work on data visualization and data management within the Data Analytics & Insights team. Build interactive displays and tools using JavaScript and Python, translate complex data into clear visuals, ensure data accuracy, support data storage solutions and processes, perform quality checks, and collaborate with cross-functional teams and environmental scientists.

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.

Own day-to-day vehicle pricing execution and exception management across channels. Review model outputs, implement documented manual overrides, monitor pricing outcomes, analyze post-execution trends, support testing, recommend auction strategies and process improvements, and escalate pricing risks to stakeholders.

Responsible for building and operating scalable lakehouse data pipelines, optimizing data flows, and delivering analytics-ready data products using Azure Databricks technologies.

The Technical Analyst will analyze project feasibility, gather requirements, configure Manhattan applications, support testing, and facilitate communication between business stakeholders and IT.