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LABHOUSE

Product Lead, Data Analyst

LABHOUSE

Product lead & Data Analyst at Labhouse working with the CEO on app launches through data insights and experimentation. Collaborating to define metrics, driving decisions, and leveraging AI tools.

Posted 7/28/2026full-timeBarcelona • 🇪🇸 SpainSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong analytical skills with a focus on product metrics, experimentation, and user insights, while leveraging AI tools for efficient decision-making and collaboration across teams. Possesses a solid foundation in data analysis and a genuine product mindset to drive app development and enhancements.

Highest-signal resume keywords
SQLData AnalysisProduct MetricsAI ToolsUI/UX Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data ScienceData EngineeringStatisticsExperimentationProduct MetricsA/B TestingOnboarding FlowsMonetization ExperimentsQuantitative AnalysisTechnical Field Degree
Soft Skills
High AgencyOwnershipBias For ActionCollaborationCommunication
Industry Keywords
ActivationRetentionMonetizationLTVCACARPUFast-Paced EnvironmentTop-Tier UniversityProduct MindsetFounders Collaboration

Tech Stack

Tools & technologies
SQL

About the role

Key responsibilities & impact
  • Working hand in hand with the CEO to ideate, validate, and launch new mobile apps
  • Driving product decisions on existing apps using data, experimentation, and user insights
  • Defining and tracking the metrics that matter: activation, retention, monetization, LTV
  • Designing and analyzing A/B tests, onboarding flows, and monetization experiments
  • Translating raw data into clear product hypotheses and roadmap priorities
  • Collaborating with engineering, design, and marketing to ship fast and iterate faster
  • Leveraging AI tools to accelerate research, prototyping, and decision-making

Requirements

What you’ll need
  • Degree in a quantitative or technical field — Data Science, Data Engineering, Computer Science, Engineering, Mathematics, Statistics, Physics, or similar
  • Strong academic record from a top-tier university
  • 2-4 years of experience as a Data Scientist, Data Engineer, or Data Analyst, who has transitioned into product
  • Solid analytical foundation: SQL, statistics, experimentation, and product metrics (CAC, LTV, retention, ARPU)
  • A genuine product mindset — you don't just analyze data, you ask why and propose what to build next
  • High agency, ownership, and bias for action
  • Comfortable working directly with founders in a fast-paced environment
  • Strong proficiency with AI tools to accelerate your workflow
  • Passion for UI/UX and Apple-like product experiences
  • Strong level of spoken and written English and Spanish

Benefits

Comp & perks
  • The opportunity to work side by side with serial entrepreneurs who've built and exited at the highest level
  • A real path to becoming a product leader, mentored directly by the CEO
  • Attractive compensation package, above market average
  • Hybrid work model from our Barcelona office
  • A fast-moving, AI-native environment where shipping beats talking