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Staff Analytics (Product Growth)

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Skills

Required

  • analytics
  • experimentation
  • modern data stacks
  • Databricks
  • Snowflake
  • Looker
  • product and growth analytics
  • data science
  • building AI‑driven analytics workflows
  • LLMs
  • SQL
  • Python

Join our team as a Staff Analyst, where you will partner closely with the CMO and product leadership to drive user growth and engagement. You will shape and drive the analytics strategy, mentor and develop the team, and collaborate cross-functionally with Marketing, Product, and Engineering. Your primary goal will be to architect and build AI-driven workflows that transform how analytics operates. You will also develop and maintain experimentation, causal measurement, and product analytics frameworks, and communicate insights clearly to technical and non-technical audiences.

Responsibilities

  • Collaborer avec le CMO et les équipes produit pour élaborer et mettre en œuvre une stratégie d'analyse qui favorise la croissance des utilisateurs et l'engagement.
  • Concevoir et construire des workflows autonomes basés sur l'IA qui transforment le fonctionnement de l'analyse, en automatisant les processus et en fournissant des informations proactives.
  • Développer et maintenir des cadres d'expérimentation, de mesure causale et d'analyse produit qui soutiennent l'acquisition, l'activation, l'engagement, la rétention, la monétisation et la valeur à vie.

Requirements

  • Familiarity with modern data stacks (Databricks, Snowflake, dbt, Amplitude, Looker) is a plus
  • Solid background in product and growth analytics across activation, engagement, retention, and monetization
  • 7+ years in analytics, data science with deep hands‑on execution
  • Excellent communication and storytelling skills for technical and non‑technical audiences
  • Experience building AI‑driven analytics workflows (LLMs, agents, automation, or similar)
  • Ability to operate as a high‑leverage IC who partners closely with executives and cross‑functional leaders
  • Experience with causal inference, uplift modeling, and experimentation frameworks
  • Strong technical skills in SQL, Python, experimentation, and statistical modeling

Preferred

  • Experience in fintech, consumer tech, or data‑driven product organizations is a plus

Pay

USD 215,000 - 263,000