Speak

Marketing Analytics Lead

Speak

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $160,000 - $205,000 per year

Job Level

Senior

Tech Stack

PythonSQLTableau

About the role

  • Own and evolve Speak’s global marketing analytics function, including dashboards, attribution, experimentation, and incrementality/MMM.
  • Partner with growth globally teams to guide investment decisions across performance, CRM, brand (TV, OOH), ASO/SEO, influencer, and offline channels.
  • Design and manage the analytics infrastructure that supports accurate, fast, and scalable insights across markets and platforms
  • Build and operationalize frameworks for measuring CAC, LTV, ROI, incrementality, and media efficiency.
  • Accelerate experimentation velocity by supporting the design, execution, and analysis of A/B and market-level tests across creatives, lifecycle, and product surfaces.
  • Collaborate cross-functionally with product, engineering, and finance teams to identify levers for acquisition, retention, and monetization.
  • Shape forward-looking strategy by analyzing media fatigue, market saturation, and competitive benchmarks.
  • Hire and mentor junior team members, scaling the team alongside the business

Requirements

  • 5–7+ years of experience in high-performance analytics roles, with at least 3 years focused specifically on growth or marketing analytics.
  • Deep familiarity with multi-channel marketing measurement, including attribution systems, LTV/CAC frameworks, and MMM/incrementality testing.
  • Expertise in SQL, plus hands-on experience with BI tools like Mode, Looker, or Tableau.
  • Experience designing and running marketing and pricing/packaging experiments (creative tests, landing pages, CRM, geo tests, etc.).
  • Demonstrated ability to influence growth, product, finance, and marketing stakeholders with clear, actionable insights.
  • Strategic mindset—someone who can zoom out and prioritize, not just execute analyses.
  • Clear, compelling communicator who can explain complex ideas to non-technical audiences.
  • Bonus points for
  • Experience working on multi platform consumer subscription or mobile app products
  • Exposure to marketing mix modeling (MMM) and brand measurement
  • Proficiency in Python or R for deeper modeling or statistical analysis
  • Prior experience building out marketing analytics functions from scratch
  • Global growth experience or exposure to multi-geo go-to-market strategies