Senior Analytics Engineer, Service Parts

About the role

Rivian is looking for a Senior Analytics Engineer, Global Distribution Strategy (GDS) for Service Parts. The role drives operational excellence by governing and standardizing Service Parts master data and other service parts data, setting and maintaining targets and thresholds. It also oversees the monitoring and governance of Service Parts data and builds a comprehensive Service Parts Quality Index covering accuracy, completeness, timeliness and freshness.

Key responsibilities

• Develop, maintain and iterate on a Service Parts Quality Index, using it as the primary measure of data health
• Establish governance standards for Service Parts master data and define targets and thresholds so data stays analytical-ready
• Use data quality insights to improve warehouse and distribution processes or advocate system changes in Rivian's ERP systems (SAP, PTC Servigistics, OTM, service operating systems)
• Build scalable data models and use machine learning and AI to find inefficiencies and suggest predictive improvements
• Work with partner organizations to raise data maturity and ensure a consistent data language across the global distribution strategy
• Turn the Quality Index and ML insights into scorecards linking data maturity to distribution performance

Required profile

• Bachelor's or Master's degree in Data Science, Business Analytics, Supply Chain Management or Engineering
• 5+ years of experience in Service Parts, Global Distribution or Supply Chain Analytics
• Proven track record establishing data governance frameworks, data quality dimensions and thresholds, and standardized master data management processes
• Deep familiarity with SAP master data and its impact on physical distribution
• Experience building complex data models and quality index scorecards
• Ability to communicate data maturity needs to technical teams and executives

Required skills

• SQL and data transformation tools such as dbtCloud
• Building and deploying machine learning or AI models