Product Data Analyst

LABHOUSE

. Define, track, and own metrics across the apps, including activation, retention, monetization, and LTV .

Posted 10/9/2026full-timeBarcelona • SpainJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis and product metrics, with a strong foundation in SQL and statistics. Capable of translating complex data into actionable insights and recommendations while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Strong SQL SkillsExperience with Analytics and BI ToolsFluency with Product MetricsData Analysis in Consumer AppsExperience Supporting Product Launches

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical AnalysisExperimentationUser Behavior AnalysisMetrics TrackingDashboard CreationHypothesis DevelopmentRetention AnalysisConversion Rate OptimizationPricing Analysis

Soft Skills

Clear CommunicationCuriosityOwnershipBias for ActionCollaboration

Tools & Technologies

AI ToolsAmplitudeMixpanelLookerTableau

Industry Keywords

Consumer AppsSubscription BusinessMobile AppsGrowth TeamsUI/UX

Tech Stack

Tools & technologies

SQLTableau

About the role

Key responsibilities & impact

Define, track, and own metrics across the apps, including activation, retention, monetization, and LTV
Build and maintain dashboards and reports used by product, marketing, and leadership
Analyze onboarding flows, paywalls, pricing, and the impact of product changes
Analyze user behavior and funnels to identify drop-offs, opportunities, and root causes
Translate raw data into hypotheses and prioritized recommendations for the product roadmap
Support new app launches with early-signal analysis and validation
Collaborate with product, engineering, design, and marketing to ship and iterate quickly
Use AI tools to accelerate analysis, research, and reporting

Requirements

What you’ll need

Degree in a quantitative or technical field: Data Science, Computer Science, Engineering, Mathematics, Statistics, Physics, Economics, or similar
1–3 years of experience as a Data Analyst, Product Analyst, ideally in a consumer app or subscription business
Strong SQL and a solid grounding in statistics and experimentation
Fluency with product metrics such as retention, conversion, ARPU, LTV, and CAC
Experience with analytics and BI tools (for example Amplitude, Mixpanel, Looker, or Tableau)
A product mindset: you don't just report the numbers, you ask why and suggest what to do next
High ownership, curiosity, and a bias for action
Comfort working with founders and product teams in a fast-paced environment
Strong use of AI tools to speed up your workflow
An eye for good UI/UX and well-crafted product experiences
Clear, structured communicator who can turn complex data into simple stories and recommendations
Experience in mobile apps, subscription products, or growth teams
Experience supporting 0-to-1 product launches
Experience working closely with founders or in startup environments

Benefits

Comp & perks

The chance to work close to serial entrepreneurs who have built and exited at the highest level
Real ownership and visibility: your analysis directly shapes products used by millions
A growth path toward senior analytics or product roles
An attractive compensation package, above market average
Hybrid work model from our Barcelona office
A fast-moving, AI-native environment where shipping beats talking