Top Senior Data & Analytics Jobs in Detroit, MI

Lead end-to-end SAP data migration and master data governance across public and private cloud environments supporting EWM and Yard Logistics. Responsibilities include migration planning, data cleansing, mapping, transformation, loading, validation, reconciliation, cutover coordination, defect resolution, quality controls, business sign-off, and readiness reporting. The role collaborates with business data owners, SAP teams, system integrators, and vendors to establish accurate, governed, and sustainable master data processes.

Design and develop data pipelines, integrations, transformations, and infrastructure across AWS, Snowflake, Airflow, and MySQL. Troubleshoot warehouse issues, validate data quality, improve pipeline reliability, and translate business needs into data engineering solutions. Interpret technical findings for client recommendations, manage workstreams, review junior team members’ work, and provide technical guidance across managed services engagements.

Leads consumer and market research analysis to translate customer data, trends, and market signals into actionable insights for vehicle products, technologies, and experiences. Synthesizes complex internal and external data, presents recommendations to senior stakeholders, collaborates on research initiatives, supports vehicle development decisions, and explores AI and emerging analytical approaches.

Leads a team of data scientists and BI engineers responsible for demand forecasting, customer routing analytics, budgeting projections, and core business KPIs. Designs scalable Snowflake datasets, metric definitions, and Tableau self-service analytics; partners with Product, Engineering, and Finance; establishes analytical strategy and roadmaps; applies statistical and causal reasoning; and guides responsible AI-assisted analytics practices.

Leads a team of data analysts focused on experimentation, KPI measurement, reporting, and optimization of banking and consumer engagement operations. Owns analytics strategy, A/B testing, automation measurement, Snowflake-based analytical solutions, dashboards, and self-service reporting. Partners with Operations, Product, Engineering, and Finance to drive strategic decisions, profitability, and efficiency. Coaches team members, supports hiring, applies AI tools to analytics workflows, and communicates recommendations to senior leaders.

Lead regional economic intelligence and outreach, conduct qualitative and quantitative research, produce sector and district analysis for policy use, prepare publications and presentations, engage senior external stakeholders, and mentor junior economists.

Analyze and optimize drug pricing using data-driven models, dashboards, reports, and strategic frameworks. Partner with Sales, Operations, Marketing, Finance, Product, pharmacy partners, and data teams to identify opportunities, define success metrics, improve reporting, and balance pharmacy economics with patient affordability. Serve as a trusted analytical advisor and support backend data development and query optimization.

Own analytical projects supporting revenue, profitability, and operational performance for the insurance business. Analyze funnels, campaigns, conversions, costs, and trends; build SQL queries and Looker dashboards; automate reporting with Python; define KPIs; validate data; and present actionable recommendations to stakeholders and leadership.

Architects, deploys, and operates scalable data platform infrastructure supporting analytics. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and compliance controls, developing dbt data models, cataloging assets in OpenMetadata, automating with Python, and mentoring engineers. The role requires extensive infrastructure and data engineering experience, cloud expertise, container orchestration, and eligibility for CJIS clearance.

Design and implement customer data solutions using Adobe Experience Platform and RTCDP. Configure XDM schemas, datasets, identities, and real-time profiles. Build ingestion pipelines, audience segmentation, and activation strategies. Ensure data quality, governance, and optimize platform performance while collaborating with marketing and technical teams.