Sales Analytics & IT Specialist, Mopar eCommerce

Stellantis

Auburn Hills, MI, United States

3 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

indeed.com

Tech stack

Adobe Analytics Application Programming Interfaces (APIs) Information Systems Extract Transform Load (ETL) Google Analytics Python (Programming Language) Power BI Standard Sql Data Streaming Tag Management Azure Data Factory Powerquery

+5 more

Adobe Data Analytics Tealium Data Pipelines Databricks

Job description

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., * 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.

Requirements

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
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, * Python/R for advanced analysis, forecasting, and causal inference
Experience with marketplace data (Amazon SP-API, eBay, Walmart APIs) and retail media measurement
Hands-on with ETL/ELT and modern data stacks (e.g., Azure Data Factory/Synapse, Databricks, or similar)