Lead Analyst Engineer Jobs in California (NOW HIRING)

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. 

Rivian is looking for a technically deep and business-savvy Lead Analyst to sit at the intersection of data engineering, marketing science, and strategic storytelling. Reporting to the Sr. Manager of Marketing Analytics, this role is the analytical engine behind Rivian's full-funnel marketing measurement—from brand awareness and purchase consideration through lead conversion and fulfillment. You'll work closely with fellow analysts, Data Engineering, Marketing Ops, and marketers across the organization to build the data foundations, causal models, and dashboards that drive how Rivian invests its marketing dollars.

• Design the analytical framework that unifies brand awareness metrics, digital behavioral data, and lead-to-fulfillment conversion events. Define clear requirements with cross-functional stakeholders to determine the critical path for data-driven execution.
• Lead the strategy for incrementality testing and attribution modeling to prove the true marginal impact of marketing spend, translating complex technical concepts into actionable insights for strategic initiatives.
• Identify high-value user paths and friction points to inform automated engagement triggers and personalized customer lifecycles. Partner with marketers and channel owners to operationalize findings into campaign and lifecycle decisions.
• Partner with Marketing Ops and Data Engineering to audit, optimize, and evaluate pipeline architecture for the MarTech stack (e.g., CDP, CRM, Ad-Platform APIs). Ensure seamless data flow into Databricks, establish control processes around ETL tasks, and maintain accurate documentation of the data dictionary.
• Develop, manage, and maintain critical KPIs and executive dashboards, ensuring maximum reliability, data accuracy, and integrity of information across all marketing and fulfillment datasets.
• Own data validation frameworks and data dictionary documentation; proactively identify and resolve data quality issues across marketing data pipelines to ensure analysts and stakeholders are working from a single source of truth.
• Build consensus among stakeholders with varying perspectives—marketing, engineering, finance, and leadership—by leading user feedback loops, defining requirements collaboratively, and translating business needs into technical specs and vice versa.

• Bachelor's degree in Analytics, Statistics, Economics, Business, Engineering, or a related quantitative field; Master's degree preferred.
• 6+ years in Marketing Analytics, Marketing Science, or Growth Analytics, with a focus on high-consideration customer journeys, long-term LTV, and cross-channel measurement. Proven track record of leading collaborative projects with complex subject matter, handling user feedback loops, and building consensus among stakeholders with varying perspectives.
• Expert-level SQL and Python for advanced statistical analysis including propensity modeling, survival analysis, and causal inference. Hands-on experience with Databricks, dbt, and AI coding tools such as Cursor AI and Claude Code.
• Proficiency in Tableau and Hex to build reliable, executive-ready dashboards.
• Deep functional knowledge of CDP platforms, CRM identity management, and behavioral event-stream tools; you understand how these systems come together to create a unified customer record and can diagnose gaps in data pipelines.
• Experience establishing data validation processes, maintaining data dictionaries, and enforcing data integrity standards across complex, multi-source marketing datasets.
• The ability to connect operational fulfillment data to top-of-funnel brand perception and future purchase intent—and communicate those connections clearly to both technical and non-technical audiences.
• Comfortable operating in a fast-paced, high-ambiguity environment (e.g., new product launches, startup-stage operations) with strong attention to detail and a bias for action.

The salary range for this role is $137,800-$172,000 for So Cal based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs.

The successful candidate may be eligible for annual performance bonus and equity awards

We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian’s 401(k) Plan and Employee Stock Purchase Plan if you meet certain eligibility requirements. Full-time employee coverage is effective on their first day of employment. Part-time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com.

You can apply for this role through careers.rivian.com (or through internal-careers-rivian.icims.com if you are a current employee). This job is not expected to be closed any sooner than 7/12/2026.

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 candidateaccommodations@rivian.com.

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.

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.

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

• Bachelor's degree in Analytics, Statistics, Economics, Business, Engineering, or a related quantitative field; Master's degree preferred.
• 6+ years in Marketing Analytics, Marketing Science, or Growth Analytics, with a focus on high-consideration customer journeys, long-term LTV, and cross-channel measurement. Proven track record of leading collaborative projects with complex subject matter, handling user feedback loops, and building consensus among stakeholders with varying perspectives.
• Expert-level SQL and Python for advanced statistical analysis including propensity modeling, survival analysis, and causal inference. Hands-on experience with Databricks, dbt, and AI coding tools such as Cursor AI and Claude Code.
• Proficiency in Tableau and Hex to build reliable, executive-ready dashboards.
• Deep functional knowledge of CDP platforms, CRM identity management, and behavioral event-stream tools; you understand how these systems come together to create a unified customer record and can diagnose gaps in data pipelines.
• Experience establishing data validation processes, maintaining data dictionaries, and enforcing data integrity standards across complex, multi-source marketing datasets.
• The ability to connect operational fulfillment data to top-of-funnel brand perception and future purchase intent—and communicate those connections clearly to both technical and non-technical audiences.
• Comfortable operating in a fast-paced, high-ambiguity environment (e.g., new product launches, startup-stage operations) with strong attention to detail and a bias for action.