Data First Jobs

Lawrence Harvey

Experimentation Analytics Lead

Full Time · In Office · New York, New York (USA)

$110,000–$130,000 · Posted Aug 3, 2026

  • Experimentation Analytics Lead
  • Location: NYC or NJ (Hybrid)
  • Work Model: Hybrid (3 days onsite)
  • Salary: $110,000-$130,000 + Bonus
  • This position is not open for c2c and are unable to provide sponsorship at this time or in the future
  • About the Role
  • A leading media and entertainment organization is seeking an Experimentation Analytics Lead to drive A/B testing strategy across a portfolio of high-traffic digital brands spanning news, sports, streaming, and entertainment.
  • This role will partner closely with Product, Analytics, Marketing, Editorial, Growth, and Engineering teams to design and scale experimentation initiatives that improve engagement, conversion, and overall digital performance.
  • Key Responsibilities
  • • Own and prioritize the experimentation roadmap across product, growth, and marketing initiatives
  • • Design, execute, and analyze A/B and multivariate tests end-to-end
  • • Translate business questions into measurable hypotheses and experimentation frameworks
  • • Identify trends and actionable insights across multiple concurrent tests
  • • Build scalable experimentation best practices and governance processes
  • • Present findings and recommendations to technical and business stakeholders

Qualifications

  • • 5+ years of experience in experimentation, product analytics, or related quantitative fields
  • • Strong understanding of hypothesis testing, experimental design, and causal inference
  • • Hands-on experience with experimentation platforms such as Amplitude or similar tools
  • • Strong SQL skills plus experience with Python or R
  • • Experience with tools such as Snowflake, Databricks, Adobe Analytics, Google Analytics, Tableau, Looker, or Omni
  • • Strong communication and cross-functional stakeholder management skills
  • This is a highly visible opportunity to help shape experimentation strategy and influence data-driven decision-making across large-scale consumer platforms.

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Experimentation Analytics Lead

Lawrence Harvey

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