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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in product analytics and business analysis, with a strong focus on defining and measuring product KPIs, analyzing user behavior, and communicating actionable insights to stakeholders. Proficient in using data visualization and analysis tools to drive product improvements and enhance customer experience.
Highest-signal resume keywords
Product Analytics ExperienceStrong SQL SkillsA/B Testing and ExperimentationTableau and Mixpanel ProficiencyData Quality and Accuracy
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product Metrics AnalysisFunnel AnalysisCohort AnalysisUser Behavior AnalysisCustomer Journey MappingData VisualizationStatistical AnalysisPython or R ProficiencyEvent InstrumentationMetric Definition
Soft Skills
Excellent Communication SkillsCuriosity About AICollaboration with StakeholdersAttention to DetailProblem-Solving
Tools & Technologies
TableauMixpanelSnowflakeDbtAI ToolsLLM Engines
Industry Keywords
Consumer ProductsTravelInsuranceFintechCustomer-Facing Digital Products
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Become an expert on Faye's products, customers, and business
- Partner with Product Managers on high-impact questions 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 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 rigor and accuracy in stakeholder-facing data
- Communicate findings to technical and non-technical stakeholders
- Partner with Data and Engineering to improve tracking, event instrumentation, and metric definitions
- Participate in the team's effort to bring AI into how they work
Requirements
What you’ll need- 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 Tableau, Mixpanel, dbt, and Snowflake, or similar tools
- Strong rigor and accuracy, with care for data quality and clear metric definitions
- Excellent communication skills and 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
- A relevant academic degree or equivalent hands-on experience
- Experience in consumer products, travel, insurance, fintech, or customer-facing digital products is a plus
- Python or R experience for deeper analysis is a plus