we are looking for a Product Analyst to help build smarter, move faster, and make better product decisions through data. Youre deeply data-driven and love turning analysis into meaningful business insights that shape strategy and drive impact.
Sitting at the intersection of Product and Data, youll own product analytics across the department. Youll develop a deep understanding of our customers, products, and business, turn complex data into clear insights, and help Product Managers uncover opportunities, prioritize confidently, and measure what matters.
This is a hands-on role in a fast-moving startup, with real ownership, high impact, and strong exposure to cross-functional leaders.
Responsibilities:
Become an expert on our products, customers, and business.
Partner closely with Product Managers on high-impact questions, and support them with insights and ad hoc data requests.
Define, track, and evolve core product KPIs across key journeys and flows.
Analyze funnels, cohorts, feature adoption, user behavior, and customer drop-offs.
Identify friction points and translate them into clear product and business recommendations.
Design and analyze A/B tests and product experiments.
Measure the impact of product launches, feature changes, and customer experience improvements.
Build dashboards and recurring insights using Tableau, Mixpanel, Snowflake, dbt, and AI tools or LLM engines.
Uphold a high bar for rigor and accuracy, so the numbers that reach stakeholders are right and well understood.
Communicate findings clearly to technical and non-technical stakeholders.
Partner with Data and Engineering to improve tracking, event instrumentation, and metric definitions.
Take part in the team's effort to bring AI into how we work.
Requirements
Requirements: 4+ Several years of experience in product analytics, business analysis, or other data-focused roles.
Strong SQL skills and comfort working with large, real-world datasets.
Experience analyzing product funnels, cohorts, customer journeys, and feature usage.
Strong understanding of product metrics such as conversion, activation, engagement, retention, usage, and customer satisfaction.
Experience with A/B testing, experimentation, and product measurement.
Experience with tools like Tableau, Mixpanel, dbt, and Snowflake, or similar.
A strong sense of rigor and accuracy, and care for data quality and clear metric definitions.
Excellent communication skills, with a track record of making data clear and actionable for non-technical stakeholders.
Ability to connect product behavior with customer experience and business impact.
Comfortable working directly with Product, Data, and leadership stakeholders.
Curiosity about using AI to work faster and smarter, and openness to adopting it as part of a team effort.
Python or R experience for deeper analysis is a plus.
A relevant academic degree or equivalent hands-on experience.
Experience in consumer products, travel, insurance, fintech, or customer-facing digital products is a plus.
This position is open to all candidates.