Senior Data Analyst – Subscription Mobile Games

Location: Hybrid Barcelona (Spain) / Remote (CET time zone)



GameHouse has been building and publishing games for 25 years and we were early pioneers in subscription gaming for women 30. That experience gives us a clear point of view: our players dont come to GH for hype pressure or endless grind they come for a reliable daily moment that feels good.

GameHouse (GH) is a premium mobile gaming service for women 30 offering a curated high-quality experience designed for Play Your Way enjoyment. Players can choose ad-free access with a subscription or play with ads while still getting calm emotionally satisfying entertainment focused on stress relief and mental stimulation built to respect their time mood and daily life.



What You Will Do

As a Senior Data Analyst youll work closely with small cross-functional teams to help us understand our players and make better decisions across our subscription-based gaming ecosystem. Our setup is flat and collaborative. You wont be a report factory and you wont work in isolation. Instead youll partner day-to-day with Product Game Teams Growth and LiveOps to explore questions together and turn data into shared understanding.

Our ecosystem includes a catalog of 100 games and a central discovery app so your work will span individual games cross-game journeys and the overall subscriber experience.

• Understand Our Subscribers: Explore how players discover games engage with content move across the catalog and decide to stay (or leave). Use data to surface insights that improve retention and long-term value.
  
  
• Portfolio & Cross-Game Thinking: Look beyond single games to understand how the catalog works as a whole what players play together how discovery happens and how different titles contribute to overall engagement.
  
  
• Discovery & Platform Insights: Help teams improve the central app experience by analyzing non-linear funnels recommendations cross-promotion etc.
  
  
• Experimentation Together: Design and analyze A/B tests with product and game teams to learn what works share results openly and iterate quickly.
  
  
• Turn Data into Stories: Communicate findings in a clear approachable way. Help teams and leaders understand not just what happened but why it matters.
  
  
• Dashboards That People Actually Use: Build and maintain dashboards that give teams visibility into subscriber and game health without needing an analyst in the room.
  
  
• Learn and Build as a Team: Collaborate with other analysts data scientists and engineers on deeper analytical projects and be generous in sharing knowledge and best practices.
  
  
• Support a Data-Literate Culture: Help colleagues become more confident with data metrics and experimentation.
  
  

What Were Looking For

Were looking for someone who is analytically strong curious and kind; someone who enjoys solving problems with others and is comfortable working across multiple products and domains.

• Experience: Several years working in data analytics product analytics or a similar role ideally with subscription products games or consumer apps.
  
  
• Strong Foundations: Advanced SQL and solid R/Python skills for exploratory analysis and statistical work.
  
  
• Experimentation Know-How: Hands-on experience designing and analyzing A/B tests; good understanding of applied statistics. Bayesian and sequential testing experience is a plus not a requirement.
  
  
• Visualization & BI: Comfortable building clear useful dashboards in tools like Looker Metabase Periscope or similar.
  
  
• Product & Player Mindset: You care about the player experience and can think at both the individual game and portfolio level.
  
  
• Clear Inclusive Communicator: Able to explain insights to different audiences and create space for discussion and learning.
  
  
• Pragmatic & Impact-Focused: You balance rigor with speed and know when good enough is the right call.
  
  
• Collaborative by Nature: You enjoy helping teammates asking questions and learning from others. We value how we work together as much as what we deliver.