Data Analyst

Who We Are:

Faye is the first-ever digital, consumer-centric travel insurance for Americans with a product redefining travel coverage and care, taking it from a forgettable add-on to a must-have advantage that enhances the entire trip experience. Faye’s whole-trip protection, coupled with its proprietary technology, enables 24/7 immediate assistance, claims processing and reimbursements anywhere in the world, setting a new standard and over-delivering in an industry synonymous with doing the opposite.

What We’re Looking For:

Faye is seeking a seasoned Product/Growth Data Analyst to drive data-driven decision-making across our cross functional teams. In this role, you’ll transform complex data into actionable insights, enabling us to optimize user experiences, refine product performance, and fuel customer growth. With your expertise in analytics and a deep understanding of user behavior, you’ll be instrumental in shaping Faye’s product strategies and helping us scale efficiently.

Responsibilities:

Data Strategy & Insights:

• Analyze product and customer data to provide actionable insights that enhance user experiences and drive growth.
• Conduct deep-dive analysis, including cohort studies, funnel performance reviews, and customer segmentation, to identify key growth opportunities.
• Develop and maintain comprehensive dashboards and reports to support decision-making across Product, Growth, and other relevant teams.
• Partner with cross-functional teams, including Product, Growth and Tech, to ensure data-driven strategies are implemented effectively.
• Ensure data is leveraged across the organization to support product and growth decisions.
  
  

• Lead and execute A/B tests to optimize product features and growth strategies.
• Provide insights into key growth metrics such as CAC, LTV, churn, and user engagement, helping to guide product and marketing decisions.
• Partner with Product and Growth teams to continue to improve acquisition, retention, and overall customer satisfaction through data-backed recommendations.
  
  

• 6+ years of experience in product/growth analytics, with expertise in A/B testing, cohort analysis, user behavior, funnels, and growth metrics (CAC, LTV, churn).
• Strong experience with SQL, Tableau (or similar), and Mixpanel (or similar) for data visualization and analysis.
• Proven ability to distill complex data into simple, actionable insights for both technical and non-technical stakeholders.
• B2C startup experience, with a strong understanding of the challenges and opportunities in fast-growing environments.
• Excellent communication skills, able to present findings and recommendations clearly and concisely to diverse stakeholders.
• Proactive, self-starter mentality, with a passion for problem-solving, efficiency, and optimizing user experiences.
• Experience with machine learning and predictive modeling is a plus. Python/R is a plus.
• Relevant academic degree or equivalent experience.