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Growth Analytics & Operations Lead

Haystack News· Marketing
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San FranciscoFull-timePosted 4w ago

About the role

Growth Analytics & Operations Lead responsible for measuring paid growth, building attribution, dashboards, LTV/CAC/payback models, running experiments, and optimizing marketing and growth budget across channels and platforms.

Responsibilities

  • Own paid growth measurement: MMP (AppsFlyer), SKAdNetwork, deep link tracking, and measurement of CTV placements on Roku, Fire TV, Vizio and Samsung; verify MMP accuracy and fix drift.
  • Design and automate reporting systems and dashboards for revenue, partnerships, and marketing campaigns across Snowflake and third-party tools (Google Ads, Meta, etc.).
  • Build the LTV, CAC and payback model by platform and device, with early indicators; design and run incrementality tests (holdout, geo, pre/post).
  • Build and monitor A/B tests and experimentation frameworks with Product and Data teams, applying statistical rigor.
  • Identify and communicate actionable insights that drive user growth, partner success, and marketing ROI.
  • Run budget operations: pacing, forecasting, and reconciliation across Meta, Google, Apple Search Ads and CTV platforms; collaborate on bid and budget changes and automate routine tasks.
  • Financial modeling and deal analysis predicting efficacy and ROI; provide recommendations on CPI and CAC for opportunities.
  • Build checks to catch broken pipelines or incorrect CAC numbers; maintain tracking integrity.
  • Use AI daily to write and check queries, build automations, and pull reports; demonstrate practical AI usage.

Qualifications

  • Bachelor’s degree in a quantitative or analytical field (Mathematics, Economics, Statistics, Engineering); MBA or MS a plus.
  • 4 to 7 years in growth or marketing analytics, marketing operations, or media buy operations, including at least 2 years in a paid acquisition team at a consumer app, streaming, media or gaming company.
  • Data native—fluent in SQL, comfortable in Snowflake (or similar), experienced in building analytics from 0→1 with automated dashboards (Looker, Mode, Tableau, or equivalent).
  • Marketing Attribution Minded: own or run an MMP/attribution setup (AppsFlyer, Adjust, Branch), understand SKAdNetwork, lookback windows, deep linking; conducted incrementality or holdout tests.
  • Experimentation-minded: design and interpret controlled tests, evaluate statistical significance, translate results to actionable outcomes.
  • Business fluent: think in terms of unit economics, growth levers, and ROI.
  • Have built or maintained an LTV or payback model used for spend decisions; Python or R is a plus.
  • Proactive and hands-on; implement and raise flags early when blocked.
  • Bonus: connected TV advertising, mobile gaming user acquisition, or ad-supported streaming.
  • Genuinely AI native; daily use of AI tools to write/check queries and build automations; practical demonstration expected in interview.

Skills

Required:SQLSnowflakeAttribution & MMPA/B Testing & ExperimentationLTV/CAC/Payback ModelingDashboarding
Nice to have:Python/R

Benefits

  • Competitive compensation and benefits
Last updated Sep 23, 2026. Interested? Apply on the company site.
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