Working knowledge of data infrastructure such as SQL, event schemas, APIs, webhooks, and CDPs or reverse ETL tools (e.g., Segment, mParticle, Hightouch, Census), and comfort with analytics tools such as Hex, Looker, or Statsig. You'll operate with a high degree of independence, lead through ambiguity, and know when to escalate, partnering closely with Lifecycle Marketing, Engineering, Data Engineering, Product, Data Science, Analytics, and Legal & Compliance.