Senior Analytics Engineer - Service Parts

About Rivian

Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. 

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. 

Role Summary

The Analytics Engineer, Global Distribution Strategy (GDS) for Service Parts, is tasked with driving operational excellence through the rigorous governance and standardization of Service Parts Master Data and other essential service parts data, ensuring defined targets and thresholds are established and maintained. A core responsibility is to oversee the monitoring, standardization, and governance of Service Parts data to facilitate process adherence or enhancements within the Service Parts function. This individual will be responsible for the development and maintenance of a comprehensive Service Parts Quality Index. This consolidated scorecard will assess data integrity across key dimensions, including, but not limited to, Accuracy, Completeness, Timeliness, and Freshness. The Quality Index will serve as the primary mechanism for data quality and improving physical processes or defining system modifications, thereby elevating the data maturity required for analytical use across all service parts and partner organizations. In addition to establishing end to end data quality for service parts, this role will provide ongoing support for broader analytics requirements, develop robust data models, and leverage Machine Learning (ML)/Artificial Intelligence (AI) to proactively pinpoint areas for improvement within the Service Parts Organization.

Responsibilities

• Data Quality Index Management: Develop, maintain, and iterate on a comprehensive Service Parts Quality Index. Monitor data integrity across key dimensions—including Accuracy, Completeness, Timeliness, and Freshness—to serve as the primary truth for domain health.
• Standardization & Governance: Drive operational excellence by establishing rigorous governance standards for Service Parts Master Data. Define and maintain clear targets and thresholds to ensure data remains "analytical-ready" for the entire organization.
• Process & System Optimization: Leverage data quality insights to champion improvements in physical warehouse and distribution processes or advocate for essential system modifications across Rivian's ERP systems, including SAP, PTC (Servigistics), OTM, and Service Operating Systems.
• Advanced Analytics & Modeling: Support broader GDS requirements by developing robust, scalable data models. Leverage Machine Learning (ML) and Artificial Intelligence (AI) to proactively pinpoint inefficiencies and suggest predictive improvements within the Service Parts network.
• Cross-Functional Stewardship: Facilitate process adherence across Service Parts functions. Collaborate with partner organizations to elevate data maturity and ensure a consistent data language across the global distribution strategy.
• Reporting: Translate the Quality Index and ML-driven insights into actionable scorecards, highlighting the correlation between data maturity and distribution performance.

Qualifications

• Education: Bachelor’s or Master’s degree in Data Science, Business Analytics, Supply Chain Management, or Engineering.
• Technical Expertise: Proficiency in SQL and data transformation tools (e.g., dbtCloud). Direct experience building and deploying Machine Learning (ML) or AI models to solve operational problems.
• Data Governance Mastery: Proven track record in establishing data governance frameworks, specifically defining data quality dimensions, thresholds, and standardized MDM processes.
• Domain Knowledge: 5+ years of experience in Service Parts, Global Distribution, or Supply Chain Analytics. Deep familiarity with SAP Master Data and its impact on physical distribution logic.
• Analytical Depth: Experience developing complex data models and "Quality Index" scorecards that drive business-critical decisions.
• Strategic Communication: Ability to bridge the gap between technical data engineering and physical operations, effectively communicating data maturity needs to both technical teams and executive leadership.
• Systemic Thinking: A proactive mindset focused on "system modifications" rather than manual workarounds to ensure long-term data scalability.

Equal Opportunity

Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at [email protected].

Candidate Data Privacy and Technology

Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. 

Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services. 

Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.  

How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Rivian uses iCIMS Talent Cloud Artificial Intelligence (TCAI) and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role.

AI does not make hiring decisions: Qualified candidate applications are reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate.

Participation in AI profile matching is entirely voluntary. If you prefer that your profile not be used in this process, you can opt out at any time. Opting out means your profile will be excluded from automated matching and will not be surfaced for additional roles through this system. Your current application remains active and will not be affected in any way.

Interview Integrity & AI Policy 

Our interview process is designed to evaluate your personal technical foundation, real-time problem-solving logic, and structured capabilities. Therefore, the use of assistive generative AI tools to formulate or deliver your solutions during live interview sessions is not permitted. We care most about how you think — how you make sense of unclear requirements, weigh trade-offs, and explain why you chose one approach over another. We value your unique human perspective, your authenticity, and the journey it takes to reach a solution.

Please note that we are currently not accepting applications from third party application services.