Responsibilities

• 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.

Requirements

• 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.

Preferred

• - Master's degree preferred.

Benefits

• 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 .
• 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.
• 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.