Top Data & Analytics Jobs in Detroit, MI

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.

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.

The Senior Data Analyst will lead the design and implementation of machine learning models, analyze large datasets for business insights, and mentor junior team members, while collaborating with cross-functional teams.

The Systems Analyst II role involves improving business efficiency through IT solutions, data architecture design, and delivering quality services in health plan business processes.