TL;DR
Principal Product Analyst (Fintech): Uncovering insights to drive product vision and accelerate growth across the user funnel, with an accent on designing and analyzing experiments, synthesizing complex data into actionable narratives, and influencing roadmap priorities. Focus on shaping product strategy, turning ambiguity into clarity, and driving measurable outcomes.
Location: Remote (US)
Salary: $133,000–$236,000 (US national base salary)
Company
hirify.global is a technology-driven company making life insurance faster and easier through data science and predictive analytics.
What you will do
- Partner with product and executive teams to drive product strategy through data.
- Lead the design, implementation, and analysis of A/B and multivariate experiments.
- Conduct deep-dive analyses to surface actionable insights for growth, retention, and engagement.
- Synthesize complex analytical findings into compelling narratives to influence leadership.
- Build intuitive dashboards and frameworks to enable a data-driven culture.
- Collaborate with data engineering and act as a trusted advisor to PMs and executives.
Requirements
- 8+ years of experience in product analytics, data science, or growth analytics with proven impact.
- Demonstrated ability to influence senior stakeholders and shape product direction through data-driven insights.
- Expert in SQL and adept with data visualization tools (e.g., Looker, Tableau, Mode).
- Deep experience designing and interpreting experiments and applying statistical rigor.
- Proficiency with Python or R for advanced analytics.
- Exceptional communication and storytelling skills.
- Thrives in fast-paced, scaling environments, balancing strategic foresight with hands-on analytical execution.
Culture & Benefits
- High executive visibility and influence, shaping key product and business decisions.
- Opportunity to collaborate with high-caliber cross-functional leaders.
- Define frameworks and drive organizational data usage.
- Culture that values impact, ownership, and growth, where data is central.
- Full-time position with comprehensive US benefits.
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