Sr. Product Data Analyst

New
Based in United StatesFull-TimeSenior
Salary$130,000–$140,000 per year
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Job Details

Experience
5+ years
Required Skills
SQLData visualizationA/B testingdbt

Requirements

  • 5+ years of experience in product analytics, data analytics, or a closely related role.
  • Strong proficiency in SQL, dbt, Snowplow, Amplitude, Secoda, or comparable product analytics and data platforms.
  • Demonstrated experience with A/B testing, hypothesis-driven research, experiment design, and evaluation.
  • Strong expertise in statistical modeling, causal inference, data visualization, and analytical methodologies.
  • Experience designing and implementing scalable analytics frameworks.
  • Ability to influence Product teams and senior stakeholders through clear insights and data storytelling.
  • Experience translating complex analytical findings into business and product strategies.
  • Experience working in SaaS or fast-growing technology environments is preferred.
  • Comfortable operating with a high degree of autonomy and accountability.
  • Strong mentoring, communication, and stakeholder-management skills.

Responsibilities

  • Lead continuous discovery initiatives by helping Product Managers define success metrics and test assumptions.
  • Design and improve experimentation frameworks, evaluate A/B tests, and refine hypotheses.
  • Develop scalable product analytics frameworks for consistent measurement and decision-making.
  • Enable self-service analytics by improving data accessibility via tools like Metabase, Amplitude, and Secoda.
  • Use SQL, dbt, and Snowplow to transform and interpret complex product data.
  • Apply statistical methodologies and data visualization to generate actionable insights.
  • Present findings and recommendations to senior leadership to influence product roadmaps.
  • Mentor junior analysts and champion best practices in data governance and storytelling.
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$130,000–$140,000 per year
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