Top Analysis Reporting Jobs in Detroit, MI

Leads post-launch data analytics by analyzing structured and unstructured data, developing dashboards and reports, conducting SQL-based deep dives, leveraging AI, and presenting customer, dealer, technician, and product insights. The role supports strategic and ad hoc analysis, improves processes, and collaborates with cross-functional automotive service and technical teams.

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.

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.

Supports data pipeline development, data modeling, wrangling, semantic layers, dashboards, and reporting using SQL, Python, AWS, and Snowflake. Collaborates with cross-functional teams to translate business requirements into data solutions and applies data governance, security, and quality practices. This co-op is designed for a currently enrolled university student available January 11 through June 25, 2027, and willing to relocate to Framingham, Massachusetts.

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 development and execution of data-driven strategies, manage project planning and delivery, mentor and coach team members, ensure quality and ethical standards, design cloud data architectures and governance frameworks, analyze complex datasets to produce actionable insights, and drive continuous improvement using advanced analytics and modern data technologies.

Develop and maintain data pipelines and BI solutions for smart factory initiatives. Design data models, document data warehouses, build KPI dashboards, support ad-hoc analysis, and collaborate with stakeholders to enable data-driven decisions.

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.

Designs, develops, validates, and documents analytics data solutions for diverse client environments. Builds Snowflake, SQL, dbt, and AWS ingestion and transformation pipelines; monitors data quality and performance; troubleshoots complex technology issues; and supports reporting and business insights. Manages project scope, budgets, documentation, governance, client communication, implementation planning, and quality assurance while collaborating across teams and identifying opportunities for additional solutions.

Lead complex data analysis across Liftoff’s supply-side business, using optimized SQL on large-scale datasets and BI tools to build dashboards, reporting pipelines, and actionable insights. The role conducts root-cause analysis, evaluates experiments, translates technical developments into business impact, leads cross-functional initiatives, and mentors analysts. It partners with Engineering, Product, Data Science, Finance, Commercial teams, and executive leadership to influence roadmap and operational decisions.