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Rivian

Makes electric pickups, SUVs and delivery vans

Lead Analyst - Marketing Analytics

Data ScienceUpdated on Nov 7
Full-timeIn-person

About the Job

Requirements

  • A bachelor's degree in Analytics, Statistics, Economics, Business, Engineering, or a related quantitative field is required; a master's degree is preferred.
  • At least 6 years of experience in Marketing Analytics, Marketing Science, or Growth Analytics, focused on high-consideration customer journeys, long-term LTV, and cross-channel measurement.
  • A 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, including understanding how these systems create a unified customer record and diagnosing data-pipeline gaps.
  • Experience establishing data-validation processes, maintaining data dictionaries, and enforcing data-integrity standards across complex, multi-source marketing datasets.
  • Ability to connect operational fulfillment data to top-of-funnel brand perception and future purchase intent, and to communicate these connections to technical and non-technical audiences.
  • Comfort operating in a fast-paced, high-ambiguity environment, such as new product launches or startup-stage operations, with strong attention to detail and a bias for action.

Responsibilities

  • Design an analytical framework unifying brand-awareness metrics, digital behavioral data, and lead-to-fulfillment conversion events, and define requirements with cross-functional stakeholders to establish the critical path for data-driven execution.
  • Lead incrementality-testing and attribution-modeling strategy to measure the marginal impact of marketing spend, translating 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, and partner with marketers and channel owners to apply findings to campaign and lifecycle decisions.
  • Partner with Marketing Ops and Data Engineering to audit, optimize, and evaluate MarTech stack pipeline architecture, including CDP, CRM, and Ad-Platform APIs; ensure data flows into Databricks, establish ETL task controls, and maintain accurate data-dictionary documentation.
  • Develop, manage, and maintain critical KPIs and executive dashboards, ensuring reliability, data accuracy, and integrity across marketing and fulfillment datasets.
  • Own data-validation frameworks and data-dictionary documentation, and proactively identify and resolve data-quality issues across marketing data pipelines so analysts and stakeholders use a single source of truth.
  • Build consensus among marketing, engineering, finance, and leadership stakeholders by leading user feedback loops, collaboratively defining requirements, and translating business needs into technical specifications and vice versa.

Desired Qualifications

  • A master's degree is preferred.

About the Company

Rivian

Makes electric pickups, SUVs and delivery vans

Rivian designs and builds electric pickup trucks, SUVs, and delivery vans, pairing off-road ability with electronics and software it develops itself. In 2021, its R1T became the first fully electric pickup truck on the US consumer market, ahead of larger rivals such as Ford and Tesla. It makes the R1T pickup, the R1S and R2 SUVs, and commercial vans in Normal, Illinois, and sells them directly online and in its own stores rather than through dealers. Its vehicles run on Rivian's own software, which gains features through updates sent over the internet, and most revenue comes from vehicle sales, with service and optional software adding more. Rivian was founded in 2009 and is based in Irvine, California.

Company size
10,001+
Company stage
IPO
Headquarters
Irvine, CA
Founded
2009

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