Sr. Product Data Analyst

Accountabilities

• • Lead continuous discovery initiatives by helping Product Managers define success metrics, test assumptions, and incorporate iterative learning into product development.
  • Design and improve experimentation frameworks, evaluate A/B tests and experiment outcomes, and refine hypotheses based on evidence.
  • Develop scalable product analytics frameworks that establish consistent approaches to measurement and data-driven decision-making.
  • Enable self-service analytics by improving data accessibility and usability through tools such as Metabase, Amplitude, and Secoda.
  • Use SQL, dbt, Snowplow, and related technologies to transform, analyze, and interpret product data.
  • Apply statistical methodologies, causal inference, and data visualization techniques to generate reliable and actionable insights.
  • Present analytical findings and strategic recommendations to senior leadership and cross-functional stakeholders, influencing product roadmaps and business priorities.
  • Mentor junior analysts and help strengthen their capabilities in statistical analysis, experimentation, and storytelling with data.
  • Establish and champion best practices across Product and internal Data teams around experimentation, data governance, standardization, and data-driven decision-making.
  • Connect product insights to broader business objectives and translate complex findings into clear recommendations for both technical and non-technical audiences.
  • Foster a culture of experimentation, curiosity, continuous discovery, and evidence-based learning across Product and Engineering.
  • Identify opportunities to improve analytics practices, experimentation velocity, and decision quality as the organization scales.

  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 that support consistent, data-driven decision-making.
  • Strong ability to influence Product teams and senior stakeholders through clear insights, strategic recommendations, and compelling data storytelling.
  • Experience translating complex analytical findings into practical 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 while managing multiple priorities.
  • Strong mentoring, communication, collaboration, and stakeholder-management skills.
  • Passion for experimentation, continuous discovery, and building a culture of data-driven learning.
  • Creative and innovative problem solver who brings fresh perspectives to complex analytical challenges.
  • Demonstrated growth mindset with a willingness to learn, adapt, embrace challenges, and continuously improve.
  • Must permanently live and work in the United States.

  Benefits

  • Starting salary range of $130,000–$140,000 per year, depending on experience.
  • Meaningful equity opportunity.
  • Additional employee benefits and company-supported perks.
  • Fully remote work arrangement for eligible U.S.-based employees.
  • Opportunity to influence product strategy and data practices within a growing SaaS organization.
  • High-autonomy, high-accountability working environment.
  • Opportunities to mentor other analysts and contribute to organization-wide analytics standards.
  • Inclusive workplace focused on respect, collaboration, professional growth, and continuous learning.
  • Support for reasonable accommodations during the application and interview process.