Senior Product Data Analyst (Hybrid)

TL;DR

Senior Product Data Analyst (Hybrid): Analyse product performance and user behavior across websites and A/B tests, supporting product teams with experimentation insights and data-driven decision making with an accent on statistical confidence in experiments and building analytics infrastructure. Focus on exploratory analysis, data cleaning/validation, defining new tracking in Google Analytics, and delivering dashboards/reports to senior management and C-level stakeholders.

Location: Barcelona (hybrid)

Company

hirify.global is a travel subscription platform offering Prime membership powered by an AI-driven travel experience.

What you will do

• Analyse performance and identify user behaviors across different websites and product interfaces.
• Analyse results from A/B tests experiments and pre-post runs conducted by product teams.
• Support testing by helping teams form hypotheses using exploratory analysis of products and past tests.
• Perform data cleaning and validation; define and implement new tracking (primarily in Google Analytics).
• Build and maintain dashboards and reports (mostly Looker Studio and Google Sheets) for senior management and C-level stakeholders.
• Lead data-driven initiatives and collaborate with user researchers and designers to identify knowledge gaps and research opportunities.

Requirements

• Bachelor’s degree in a quantitative discipline (Mathematics, Statistics, Computer Science, Engineering, Economics, etc.).
• Minimum 6 years of experience in a role with a strong analytical component.
• Strong knowledge of the math and statistical concepts behind A/B testing.
• SQL is required, with experience working with databases and large datasets.
• Experience with user behavior/product performance analysis using tools such as Google Analytics, Adobe Analytics, Mixpanel, Amplitude, or Matomo.
• Business proficiency in English.

Nice to have

• R or Python skills for data extraction and manipulation.
• Google Analytics knowledge including Google Analytics API and GA4.
• Programming experience.
• Knowledge of data structure and dataset management in Google Cloud Platform.
• Experience using applied AI tools (e.g., Gemini) and an experimentation mindset for AI-enhanced workflows.

Culture & Benefits

• Hybrid home-office model focused on outcomes rather than time-in-seat.
• Competitive compensation and benefits package with flexible benefits and performance-based bonuses.
• Relocation support, premium equipment, and device ownership through the equipment lifecycle program.
• Learning opportunities including free Coursera access, workshops, and onboarding program.
• Personalized career paths and internal mobility via the eVOLVE program.
• Agile mindset environment with recognition, plus well-being and after-work events.

Hiring process

• Apply for the role and go through the company’s interview process to assess fit for experimentation, analytics, and collaboration.