Sr. Product Data Analyst

New
You must live and work permanently in the U.S. to be considered.Full-TimeSenior
Salary$130,000-$140,000 per year
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Job Details

Experience
5+ years of experience in product analytics, data analytics, or a similar role
Required Skills
SQLData visualizationA/B testingdbt

Requirements

  • 5+ years of experience in product analytics, data analytics, or a similar role.
  • Strong proficiency in SQL, dbt, Snowplow, Amplitude, and Secoda (or equivalent tools).
  • Experience with A/B testing, hypothesis-driven research, and experiment design.
  • Expertise in statistical modeling, causal inference, and data visualization.
  • Experience designing and implementing analytics frameworks for scalable decision-making.
  • Strong leadership skills with the ability to influence product teams and executives through insights and strategic recommendations.
  • Proficiency in storytelling with data and translating insights into strategy.
  • Prior experience in SaaS or fast-growing tech environments preferred.
  • Comfortable working in a high-autonomy, high-accountability environment.

Responsibilities

  • Lead continuous discovery efforts by guiding PMs in defining and measuring success metrics, running assumption tests, and building iterative learning into how they work.
  • Design robust experimentation frameworks, evaluate experiment results, and iterate on key hypotheses.
  • Build scalable product analytics frameworks that standardize how teams make data-driven decisions.
  • Enable self-service analytics by improving access to data through Metabase, Amplitude, and Secoda so teams can explore product insights independently.
  • Mentor junior analysts on statistical methodology, experimentation best practices, and storytelling with data.
  • Present insights and strategic recommendations to senior leadership regularly to influence product roadmaps.
  • Leverage SQL, dbt, and Snowplow to transform, and analyze product data.
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$130,000-$140,000 per year
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