Senior Data Analyst, Product

About the role

You will join a high-impact Product Analytics team operating at the core of a fast-scaling live events and ticketing platform. In this role, you will transform complex product and user data into clear, actionable insights that directly influence product strategy, roadmap decisions, and customer experience. You will partner closely with Product, Engineering, Design, and Marketing teams to identify growth opportunities and measure impact across key user journeys.

Responsibilities

• Partner with Product, Engineering, Design, and Marketing teams to size opportunities, evaluate product impact, and translate data into actionable recommendations.
• Lead end-to-end analytical initiatives, including opportunity framing, deep-dive analysis, experimentation design, and diagnostic investigations.
• Develop and refine key datasets and analytical frameworks to improve data accessibility and decision-making across teams.
• Design, evaluate, and interpret A/B tests and experiments to measure causal impact and guide product strategy.
• Contribute to product roadmap discussions by connecting data insights with broader business goals and user experience outcomes.
• Mentor and support peers in analytical thinking, storytelling, and stakeholder communication.

Requirements

• 4+ years of experience in data analytics, product analytics, data science, or related fields within tech, consumer products, or marketplaces.
• Strong proficiency in SQL, with experience using Python or R for analysis, modeling, or data exploration.
• Proven ability to solve ambiguous business problems and translate them into structured analytical approaches and insights.
• Experience with experimentation frameworks, A/B testing methodologies, and interpreting product behavior through data.
• Strong systems thinking and ability to understand how product, user behavior, and business metrics interact.
• Excellent communication skills, with the ability to simplify complex analysis and influence stakeholders.
• Experience with data tools and platforms such as dbt, Mixpanel, Looker, or similar is a plus.

Benefits

• Competitive salary range of $108,000 to $156,000 USD, plus equity eligibility.
• Comprehensive medical, dental, and vision insurance coverage.
• Remote-first work environment with flexibility across the United States.
• Learning and development opportunities to support professional growth and technical skill-building.
• Access to modern data stack tools and experimentation platforms.
• Inclusive and collaborative culture focused on impact, curiosity, and continuous improvement.