Lead Data Engineer/Analyst - USC only

Lead Data Engineer/Analyst

Only USCs

Warren/Troy, MI - Hybrid

Role SummaryWe are seeking a highly business-oriented Data & Analytics Delivery Lead to drive the translation of business problems into practical, high-impact data and analytics solutions. This role is accountable for rapidly delivering value through data—prioritizing speed, pragmatism, and measurable outcomes over perfection.The ideal candidate combines strong technical depth (SQL, Python, data visualization) with exceptional business acumen and change management capability. They will work directly with business stakeholders to identify opportunities, rapidly deliver MVP solutions, and iteratively evolve them into scalable, enterprise-grade data products.________________________________________Key ResponsibilitiesBusiness Problem Translation & Value Delivery     Partner directly with business leaders to understand key challenges, pain points, and opportunities     Translate ambiguous business problems into clear, actionable data and analytics solutions     Identify high-value use cases that drive measurable outcomes (cost reduction, revenue growth, operational efficiency)     Ensure all data initiatives are aligned to business KPIs and decision-making needs     Act as a thought partner to the business on how to leverage data strategically________________________________________MVP-Driven Delivery & Execution     Lead rapid delivery of Minimum Viable Products (MVPs) to validate business value quickly     Emphasize speed to insight over perfection—iterate based on feedback     Break down complex initiatives into incremental, deliverable components     Remove bottlenecks and drive execution across teams     Balance short-term wins with long-term scalability________________________________________Data Solution Development (Hands-On Leadership)     Design and develop analytical datasets, models, and solutions using:o     SQL (advanced)o     Python / PySparko     Data visualization tools (Power BI)     Build prototypes, dashboards, and analytical models to solve real business problems     Guide and review technical work across data engineers and analysts     Ensure solutions are both technically sound and business-relevant________________________________________Platform Utilization & Oversight     Leverage modern data platform capabilities:o     Azure Data Factory (ADF)o     Databricks (Spark, Delta Lake)o     Azure Data Lake (Bronze/Silver/Gold)o     Power BI     Ensure solutions are aligned with architectural standards while maintaining delivery speed     Support coexistence and transition from legacy (SSIS/SQL Server) to modern platforms

Job Types: Full-time, Contract

Work Location: In person