Responsibilities

• Own the weekly review with the influencer marketing team — bring the data, the read, and the recommendation.
• Build and maintain real-time dashboards for influencer/UGC traffic spikes, CAC / ROAS / payback across channels, and campaign-level performance.
• Debug attribution gaps across ad platforms, warehouse, and CRM (Meta Attribution Gap, Impact Radius, Google Ads conversion tracking are all live workstreams).
• Design and run incrementality tests, holdout tests, and A/B tests across marketing programs (email, paid channels, influencer where feasible).
• Partner on HDYHAU survey design and analysis to correct platform-reported CAC.
• Do the deep-dive analyses that shape spend decisions — creative reads, cohort/LTV analysis, channel efficiency, campaign post-mortems.
• Work on the marketing attribution build — channel/subchannel/partner taxonomy, attribution windows, priority chain, promo code handling, multi-model attribution.
• Contribute to per-creator influencer attribution instrumentation (unique codes / UTMs / landing pages).
• Grow into ownership of these areas over time as you build depth.
• Translate insights into crisp, opinionated recommendations that marketing leaders actually use — written and verbal.

Requirements

• 3–6 years of experience in data science, analytics, or marketing science. We'll flex level and title based on candidate strength.
• Strong SQL and Python — comfortable working with data end-to-end without hand-holding.
• Meaningful experience supporting a marketing, growth, or lifecycle team — you understand how marketers think and what decisions they need data to make.
• At least one measurement specialty done well : experimentation/incrementality, attribution, MMM, marketing analytics, or growth analytics. You don't need all of them — you need one that you're actually good at.
• Strong product/business intuition — you can look at a dashboard and know what's worth chasing.
• Excellent communication — you can tell a clear data story to a marketer, a PM, or a CFO, and hold your own in a room with strong opinions.
• High ownership and comfort in ambiguity — you can figure out what needs doing and go do it.

Preferred

• Experience measuring influencer/creator/UGC marketing
• Experience as an early or first data hire supporting a marketing org.
• Familiarity with our stack: BigQuery, Amplitude, Metabase, Stripe, Google/Meta/TikTok/Bing/Reddit Ads, GTM, Impact, Tolt.
• Experience in consumer product, marketplaces, creator platforms, or e-commerce.
• Exposure to AI/ML products or generative AI.
• Familiarity with privacy-era measurement (Consent Mode, SKAN/ATT, Privacy Sandbox).