Top Data & Analytics Jobs in Detroit, MI

Lead customer analytics strategy and delivery for Communications, Media & Technology clients. Define analytics strategies, develop thought leadership, and manage large-scale CRM, reporting, and predictive analytics engagements.

Lead data workstream for complex implementations: collect, validate, transform and upload large datasets into VMS, perform ETL and rate audits, ensure data quality and governance, mentor junior analysts, and communicate status to clients and stakeholders.

The Business Analyst will support business operations and content strategy by gathering requirements, creating documents, and improving service delivery through technology for a federal agency.

The CRM Strategy Manager leads client engagement programs, manages CRM strategies, and ensures execution aligns with marketing goals, focusing on outcomes and data-driven insights.

Lead HR analytics for People & Culture and Capacity & Resource Management: build and maintain dashboards and reports, extract/clean large datasets, deliver talent and capacity insights, run data-driven programs, improve reporting processes, maintain documentation, and mentor team members while collaborating across functions to inform strategic workforce decisions.

Research, map, audit, and validate automotive parts fitment data to ACES standards. Troubleshoot customer fitment inquiries, collaborate with cross-functional teams, support catalog enrichment, and improve catalog data quality and internal processes to ensure correct part-to-vehicle matching.

Lead design and delivery of enterprise BI and data engineering solutions using medallion architecture and domain-driven design. Build ETL/ELT pipelines, advanced data models (star/snowflake), and Power BI dashboards. Implement DAX and Power Query M transformations, optimize SQL solutions, and use Spark Python for large-scale processing. Collaborate with stakeholders, define KPIs, mentor team members, and drive innovation across the Microsoft Cloud Data Stack.

Develop accurate pricing for sales opportunities; compile RFQs/RFPs; manage pricing SharePoint; lead pricing strategy meetings; update Salesforce; maintain pricing models; produce Power BI and ad-hoc reports; track wins, revenue, and margins.

Design, build, optimize, and maintain scalable data pipelines and ETL for insights products. Analyze complex datasets, collaborate across teams, automate workflows, and improve pipeline performance and cost efficiency using cloud and modern data platforms.

Lead data governance activities including profiling, metadata population, data quality remediation, and standards enforcement. Work cross-functionally to implement Informatica-based cataloging and protection, automate data protection, deliver training, and recommend improvements to data quality, standardization, and transformation.