Senior Data Analyst – Subscription Mobile Games

GameHouse

Barcelona

Hybrid

EUR 60,000 - 80,000

Full time

5 days ago
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Job summary

GameHouse+ (GH+) is seeking a Senior Data Analyst to join our subscription mobile game ecosystem. You will partner with Product, Game Teams, Growth and LiveOps to translate data into decisions that improve retention and lifetime value across 100+ games.

You’ll design and analyze experiments, build dashboards, and share insights in a clear, accessible way. Our flat, collaborative culture values curiosity, kindness, and pragmatic impact.

Qualifications

  • Several years of experience in data analytics, product analytics, or a similar role.
  • Advanced SQL and solid R/Python skills for exploratory analysis and statistics.
  • Hands-on experience designing and analyzing A/B tests; understanding of applied statistics.
  • Clear dashboards in Looker, Metabase, Periscope or similar.
  • Product and player mindset with portfolio-level thinking.
  • Ability to explain insights to different audiences.
  • Pragmatic, impact-focused with balance of rigor and speed.
  • Collaborative by nature, sharing knowledge and best practices.

Responsibilities

  • Understand our subscribers: surface insights to improve retention and long-term value.
  • Portfolio & cross-game thinking: understand how the catalog works as a whole.
  • Discovery & platform insights: analyze non-linear funnels, recommendations, cross-promotions.
  • Design and analyze A/B tests with product and game teams.
  • Turn data into stories: communicate findings clearly.
  • Dashboards that people actually use: visibility into subscriber/game health.
  • Learn and build as a team with analysts, data scientists and engineers.
  • Support a data-literate culture across the organization.

Skills

Advanced SQL
R/Python
A/B testing
Data dashboards
Product mindset
Communication
Pragmatic approach
Collaboration

Tools

Looker
Metabase
Periscope

Job description

Senior Data Analyst – Subscription Mobile Games- GameHouse+

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

About GameHouse+

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 don’t 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.

Role Overview
What You Will Do

As a Senior Data Analyst, you’ll 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 won’t be a “report factory,” and you won’t work in isolation. Instead, you’ll 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 We’re Looking For

We’re 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.

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