Sales Analytics & IT Specialist, Mopar eCommerce

Be the analytics and systems backbone for Mopar eCommerce. Build robust data pipelines and Power BI models, integrate Adobe/GA4 and internal Stellantis systems (PIM, CRM, OMS, ERP/cloud), and publish daily/weekly/monthly/annual insights that drive decisions-and outcomes. What You'll Do (Key Responsibilities) * Design data models and interactive dashboards in Power BI (DAX/Power Query) for executive and operational audiences. * Integrate GA4 and Adobe Analytics data with CRM/CDP, PIM/MDM, OMS/ERP, and marketplace feeds; standardize tracking taxonomy and UTM governance. * Build and maintain ETL/ELT pipelines; implement data quality monitoring, anomaly detection, and alerting for daily checks. * Own tag management and event schema (Adobe Launch/Tealium/GTM); ensure privacy compliance and consent management alignment. * Diagnose data and systems issues (schema drift, API failures, latency) and coordinate resolution with ICT and vendor teams. * Deliver insights and recommendations on traffic, conversion funnels, attach rate, AOV, pricing, inventory fill rate, and marketplace performance (e.g., Buy Box). * Publish weekly and monthly business reviews with clear narratives, scorecards, and prioritized actions. What You'll Bring (Qualifications) * Bachelor's Degree in Data Analytics, Information Systems or related field * Minimum of 5 years in analytics/BI/marketing science with enterprise eCommerce; expert in Power BI (DAX, Power Query) and SQL. * Proficient with Adobe Analytics and GA4; experience with tag management and server‑side/event streaming preferred. * Hands‑on with ETL/ELT and modern data stacks (e.g., Azure Data Factory/Synapse, Databricks, or similar). * Familiarity with PIM/MDM, CRM/CDP, OMS/ERP, and product fitment standards; ability to model complex hierarchical product data. * Strong problem solver with excellent communication; able to translate analysis into decisions and direct ICT teams to action. Nice to Have * Python/R for advanced analysis, forecasting, and causal inference. * Experience with marketplace data (Amazon SP‑API, eBay, Walmart APIs) and retail media measurement. Role Details * Location: Auburn Hills, MI (100% onsite) * Travel: 0-3% expected * Employment: Full‑time; individual contributor with matrixed engineering and ICT support.

Created: 2026-04-02