Top Data & Analytics Jobs in Detroit, MI

Own implementation, maintenance, and optimization of client eligibility and claims data feeds. Analyze feed performance, troubleshoot discrepancies, produce error reports, test integrations with external partners, and improve internal tools, documentation, and processes to increase automation and reliability.

As the first in-house Data Engineer, you will own the data infrastructure, build and maintain data pipelines, and collaborate with teams to ensure quality data access and insights.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Lead end-to-end COGS and gross margin analysis for hardware and software products, model cost-saving scenarios, answer ambiguous executive questions, partner with data engineering/finance/product, build reliable datasets and analytical frameworks, and present recommendations to C-suite stakeholders.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Lead end-to-end customer analytics and segmentation workstreams, integrate syndicated and internal data (NVCS, S&P, Customer 360), create dashboards (Power BI), manage vendor relationships, translate insights into executive-ready narratives, and support global stakeholders to drive evidence-based decisions.

Lead a global, AI-first Data Analytics and BI organization that integrates internal teams and vendors to deliver proactive, predictive insights. Design the future operating model, own metric governance and semantic layer, consolidate dealer and CX data, and migrate legacy reporting to cloud-native architectures while partnering closely with central tech teams.

Support analytics team by analyzing marketing and social performance, building client-facing reports and visualizations, identifying KPIs, performing data quality checks, and communicating insights and recommendations to nontechnical stakeholders. Assist with monthly reviews and collaborate on dashboarding, ETL understanding, and tool improvements.

Lead research, analysis, and modeling for commercial lending risk. Build and apply algorithms to key metrics, analyze large datasets, document and monitor models, and present findings to senior leadership. Partner with business, IT, and operations to implement analytics-driven strategies and corrective actions that reduce losses and improve portfolio performance.

Design, develop, test and support Informatica ETL workflows integrating Oracle, MySQL, Salesforce and Data Lake sources. Create/modify Perl scripts, produce design documentation and data flow diagrams, collaborate with QA and business users, troubleshoot issues, and cross-train team members. Follow secure development practices and support performance and integration testing.