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Product Analyst
Not specifiedFull-timeProduct AnalyticsInsuranceTravel
Own product analytics and turn customer and product data into actionable insights that help teams make better product decisions. Work across Product, Data, and Engineering in a fast-moving environment.
Responsibilities
- Build expertise in the products, customers, and business.
- Partner with Product Managers on important questions and ad hoc analysis.
- Define, track, and evolve product KPIs across journeys and flows.
- Analyze funnels, cohorts, feature adoption, user behavior, and customer drop-offs.
- Identify points of friction and recommend product and business improvements.
- Design and analyze A/B tests and product experiments.
- Measure the impact of launches, feature changes, and customer experience improvements.
- Build dashboards and recurring insights using Tableau, Mixpanel, Snowflake, dbt, and AI tools.
- Maintain analytical rigor and ensure stakeholders understand the data.
- Work with Data and Engineering to improve event tracking, instrumentation, and metric definitions.
- Communicate findings to technical and non-technical stakeholders and contribute to the team's use of AI.
Requirements
- At least 4 years of experience in product analytics, business analysis, or another data-focused role.
- Strong SQL skills and experience working with large, real-world datasets.
- Experience analyzing funnels, cohorts, customer journeys, and feature usage.
- Understanding of conversion, activation, engagement, retention, usage, and customer satisfaction metrics.
- Experience with A/B testing, experimentation, and product measurement.
- Experience with Tableau, Mixpanel, dbt, Snowflake, or similar tools.
- Strong attention to analytical rigor, accuracy, data quality, and clear metric definitions.
- Ability to communicate data clearly and make it actionable for non-technical stakeholders.
- Ability to connect product behavior with customer experience and business impact.
- A relevant academic degree or equivalent hands-on experience.
Nice to have
- Python or R experience for deeper analysis.
- Experience with consumer products, travel, insurance, fintech, or customer-facing digital products.