Lead Analyst, Marketing Analytics

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. This role is the analytical engine behind Rivian's full-funnel marketing measurement, working closely with various teams to build data foundations and dashboards that drive marketing investments.

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