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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product analytics and data analysis, with a strong focus on user behavior, KPI frameworks, and A/B testing methodologies. Proficient in SQL and Python, with experience in data visualization tools to drive actionable insights and recommendations.
Highest-signal resume keywords
Product AnalyticsA/B Testing DesignSQL ProficiencyData VisualizationUser Behavior Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalyticsKPI Framework DevelopmentFunnel AnalysisCohort AnalysisRetention AnalysisSegmentation AnalysisStatistical SignificanceHypothesis DefinitionEvent Data AnalysisAI-Assisted Workflows
Soft Skills
Cross-Functional CollaborationActionable RecommendationsIndependent Work
Tools & Technologies
HexLookerAI Tools
Industry Keywords
Consumer AppFintechPaymentsConsumer Lifecycle MetricsMonetisation
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Define, maintain, and evolve the KPI framework across activation, adoption, usage, retention, monetisation, risk, and cost signals
- Analyse user behaviour across funnels and product journeys to identify drop-offs, usage patterns, and unmet needs
- Translate analytical findings into clear, prioritised recommendations for Product
- Partner with Product Managers and Designers to shape the experimentation roadmap
- Define hypotheses, success and guardrail metrics, sample sizes, and test designs
- Run experiment readouts and feed learnings into the product roadmap
- Size opportunities, build business cases, and measure post-launch impact of features and releases
- Develop dashboards and reports in Hex, Looker, or similar tools
- Provide Product, Operations, and leadership with visibility into launches, performance, and anomalies
- Design and implement AI-assisted workflows for recurring analyses, anomaly detection, reporting, and ad-hoc exploration
- Collaborate with Product, Design, Engineering, Operations, and executive stakeholders
Requirements
What you’ll need- 4+ years in product analytics, data analytics, or BI roles
- Experience ideally embedded in a product team within a consumer app, fintech, or payments environment
- Hands-on experience with high-volume, high-frequency event data
- Solid command of funnel, cohort, retention, and segmentation analysis
- Knowledge of consumer lifecycle metrics: Acquisition, Activation, Retention, and Monetisation
- Proven experience designing and analysing A/B tests, including hypothesis definition, power and sample size, guardrail metrics, statistical significance, and readouts
- Strong command of SQL and Python for analysis
- Experience with data visualisation tools such as Hex, Looker, or similar
- Comfortable using AI tools for analytics, automation, ad-hoc analyses, and executive summaries
- Able to work independently with cross-functional teams and translate technical findings into actionable recommendations
- Willingness to work in the office at least two times a week
Benefits
Comp & perks- Private insurance for you and your family
- Psychological support with Serenis
- Mental health workshops
- Stock Option Plan
- Meal vouchers
- Relocation support if you’re moving countries
- Professional development programs
- Internal mobility
- Language courses with Preply
- Unlimited PTO
- Hybrid working policy
- Flexible working hours
- Enhanced parental leave
- Additional leave for child sickness