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
As a Senior Analyst on the Gross Margin team, you will be a key contributor to the accuracy and strategic visibility of the company’s profitability. This role is designed for a finance professional who excels at the intersection of traditional commercial finance and modern data automation within a complex manufacturing environment.
You will support the end-to-end Cost of Goods Sold (COGS) forecast and help coordinate the critical inputs that drive our financial outlook. A primary focus of this role is contributing to the team’s digital transformation—assisting in the migration of legacy manual workflows toward an AI-enabled, automated, and scalable forecasting environment.
Why This Role Matters
- Own the Gross Margin Lens on Performance: Help build and maintain the endtoend COGS and gross margin forecast so leaders understand how product, volume, and cost decisions translate into profitability and our pathtoscale.
- Connect Operations to Financial Outcomes: Translate complex operational drivers—material, labor, logistics, and manufacturing dynamics—into clear financial insights that guide pricing, mix, and product strategy decisions.
- Advance AI-Enabled Finance Transformation: Move highimpact forecasting and reporting workflows from offline spreadsheets into automated, cloudbased data environments, leveraging AI to reduce manual effort and improve forecast accuracy.
- Strengthen Financial Rigor and Accountability: Partner with Product Development, Accounting, and FP&A to explain variances, sharpen forecast quality, and reinforce a datadriven culture across the organization.
- Unlock Better Scenario Planning: Use structured models and robust data pipelines to run strategic “whatif” scenarios that help Finance and business leaders evaluate tradeoffs and make faster, higherconfidence decisions.
Responsibilities
Financial Analysis & Partnership
- Forecast Execution: Support the maintenance and delivery of the gross margin and COGS forecast, ensuring data integrity and alignment with corporate targets.
- Cross-Functional Coordination: Collaborate with partners across Product Development, Product Strategy, and Operations Finance to gather, validate, and track the progress of key forecast assumptions.
- Performance Analysis: Partner with Accounting and FP&A during quarter-end close to identify and explain variances between actual results and the forecast.
- Strategic Scenarios: Leverage the forecast to run financial scenarios that help the team provide data-driven recommendations for strategic decision-making.
Automation & Process Improvement
- Digital Enablement: Actively contribute to the transition of financial models from Excel into automated, cloud-based data environments.
- Data Integrity: Help build and manage the data flows required to ingest complex datasets, ensuring the forecast is supported by reliable, automated sources.
- Workflow Optimization: Identify and implement process improvements that streamline reporting cycles and improve the speed and transparency of the gross margin process.
Qualifications
Required Experience
- Education: Bachelor’s degree in Finance, Accounting, Economics, or a related quantitative field.
- Experience: 3-4 years of experience in Corporate Finance or FP&A, ideally within a manufacturing, hardware, or technology environment.
- Technical Skills: Demonstrated expertise in building AI-enabled financial applications and automated workflows using Python, SQL, or similar data science frameworks.
- Systems: Experience with Databricks, Snowflake, or similar cloud-based data environments is required.
- Modeling: Advanced financial modeling skills, with the ability to translate physical operational drivers into clear financial outcomes.
Core Competencies
- Attention to Detail: An uncompromising commitment to accuracy; you ensure the integrity of the data before it reaches the final output.
- Communication: Ability to distill complex data and technical workflows into clear, concise updates for stakeholders.
- Problem-Solving: A proactive approach to troubleshooting data discrepancies and refining manual processes.
- Collaborative Spirit: Proven ability to work cross-functionally and build effective relationships with non-finance business partners.
Pay Disclosure
The salary range for this role is USD 98,500-123,100 for applicants in Illinois, Michigan, and Atlanta. This is the lowest-to-highest salary we, in good faith, believe we would pay for