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—toward **$175M U.S. revenue by YE 2027**.

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
• 10+ 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.