About The Position

As the Vice President of Analytics, you are at the heart of our data-driven culture. You will lead an international team of product analysts, automation specialists, and their leaders. In this role, you’ll deliver significant business impact by identifying high-quality insights and recommendations that are grounded in your ability to combine strategic thinking and problem-solving with well-thought-through analysis. You will be our analytics visionary leader, fostering a culture of innovation that gives rise to ground-breaking business opportunities. You’ll harness the power of controlled testing, predictive ML, and generative AI to build products that help millions of people across the world.

Requirements

  • 10–15+ years of experience in a senior analytics role.
  • An exceptional people leader who succeeds by growing leaders and teams.
  • Demonstrable expertise in experimentation methodologies (A/B testing, Bayesian inference, pre-post, etc.).
  • Proven success in driving business impact through predictive and/or generative ML.
  • Deep understanding of how to democratize data and enable effective decision-making.
  • Strong executive communication skills; able to influence at all levels, including board and C-suite.
  • Hands-on capability with SQL/Python for ad hoc analysis when needed.
  • B2C and/or e-commerce experience strongly preferred.
  • Advanced degree in a related discipline (e.g., Analytics, Data Science, Statistics, Economics, Applied Mathematics).
  • Experience leading and developing international teams.

Responsibilities

  • Lead and develop a high-performing global analytics team, building future leaders while driving business impact.
  • Partner with initiative leaders and executives to embed analytics into strategic priorities, ensuring insights translate into measurable results.
  • Drive the company’s experimentation program, implementing A/B, multivariate, Bayesian, sequential, pre-post, and causal impact analyses to fuel growth.
  • Research and implement advanced analytics methodologies, including predictive ML and generative AI, to improve customer experience and drive business value.
  • Evangelize analytics and AI developments across the organization, building adoption and excitement.
  • Build a deep understanding of the business—from acquisition to retention—and deliver insights that lead to operational improvements and new growth opportunities.
  • Partner with data engineering to ensure access to reliable, trustworthy data pipelines that enable rapid decision-making.
  • Anticipate future needs and build the foundation to support analytics, experimentation, data science, and AI/ML at scale.
  • Participate in strategic planning and connect company vision to the analytics roadmap and OKRs.

Benefits

  • Flexible, remote-first environment with equitable rewards.
  • Career growth opportunities.
  • Supportive community where contributions truly matter.

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What This Job Offers

Job Type

Full-time

Career Level

Executive

Education Level

Master's degree

Number of Employees

5,001-10,000 employees

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