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 Senior Analytics Engineer, SC&L role within the Supply Chain Analytics & Data Operations team focuses on enabling Rivian to make informed and timely supply chain management decisions. You will be responsible for extracting, transforming, and loading data and/or working with business partners to validate data from various sources in data warehouse, and producing dashboards/visualizations, reports and other formats. Utilizing analytics engineering tools and techniques, you will work in role that requires both the business acumen and contextual understanding of a data analyst and the technical skillset of a data engineer.

　　While being the subject matter expert of various datasets within a supply chain domain, this is always in the context of the broader, end-to-end supply chain: sales and ops planning, supplier operations and procurement, inbound logistics, warehousing and production inventory, and outbound logistics. This role will be responsible for creating metrics against Objectives & Key Results (OKRs) to provide executive visibility into supply chain operations, align cross-functional SC&L Teams, and support operational teams with daily execution.

　　The ideal candidate must be able to communicate technical concepts (data and supply chain) and build consensus among stakeholders with varying perspectives, constraints, and goals.  We're looking for a relentless, curious, positive, organized self-starter with an analytical mindset and experience solving complex Supply Chain & Logistics challenges utilizing data!

　　Responsibilities

　　Define requirements with stakeholders, determine critical path to deliver desired results necessary to execute business process or actionable decision utilizing data.

　　Analyze complex and/or ambiguous business problems and provide valuable insights through various methods: data validation, ad-hoc reports and automation, dashboards, etc.

　　Support manual reporting and automation of production tasks for: SAP (MRP, Inventory, BoM Analysis), TMS (materials & finished vehicles) and Internal Applications.

　　Automate non-value-added tasks and data collection for SC&L control tower dashboards in collaboration with IT which achieve Objectives & Key Results.

　　Identify and refine relevant data to produce KPIs for the Supply Chain stakeholders, with relentless focus on reliability, data accuracy and integrity of information.

　　Understand and enhance current processes, data pipelines and data visualizations based on user feedback.

　　Support and establish control processes and guidelines around ETL tasks, data maintenance and data visualization.

　　Facilitate and coordinate SC&L data integrity concerns and provide a regular communication link back to stakeholders.

　　Utilize Jira, Confluence and other collaboration tools to capture and align with stakeholders on requirements (timing, scope, etc.) and progress and/or status.

　　Develop and deploy data transformations with dbtCloud through a Git-enabled CI/CD version control process.

　　Qualifications

　　Bachelor's Degree in Engineering, Supply Chain Management and/or Computer Science

　　Experience in following business fields within Supply Chain: Material Planning, Logistics, Production Control, P