Data Analyst



5+ years of experience

Talent at GameHouse Job

What you'll be up to

As Data Analyst, you will be part of the passionate team located in Barcelona that creates our story-driven casual time management game Delicious World. You will analyze the data and help our Delicious Wold reach its full potential. You will be working in a dynamic and fun environment while having a direct impact on the success of GameHouse.

Next to that you’re responsible for:

  • Researching, developing and evaluating new data products and predictive models for customer segmentation and targeting, purchasing propensity modelling, churn modelling, lifetime value estimation, financial forecasting, recommendation systems, modelling response to incentives, price optimization and so on
  • Creating new data products by developing algorithms and extracting essential insights from current big data storage for different games of the company
  • Utilizing the data modelling platforms and solutions with regards to infrastructure, networking, big data processing, machine learning and cost
  • Working closely with the business stakeholders to translate requirements into solid data products that enable insights and growth
  • Working on in-depth analysis and hypotheses testing that deals with immediate needs and long term strategic projects that drive major change for the games
  • Creating data visualizations and analysis pipelines that demonstrate the key points to the business users.
  • Investigating new technologies, tools, and prototype the latest techniques and tools to evolve data capabilities of the company

When are you doing a good job?

  • You successfully created and deployed several dozens of models in production
  • You effectively solved relevant business tasks for the current live games
  • You provided a clear value for the company in terms of delivering new data products, valued by the team
  • You fostered and uplifted a data driven culture in the company
  • You became a good and valuable part of the team, sharing your experience and knowledge with other team members
  • You have shown an understanding of the company’s mission and strategy and supported these with data products

What makes us awesome?

  • We are a medium-sized stable company with approx. 100 people that has been around for the last 15 years
  • You get freedom to build out the platform and suggest improvements in a proper big data environment (70 million events are received in our data stream daily)
  • You have the opportunity to move the needle and have an impact on the future growth of the organization. Your work is valued
  • You will get lots of opportunity to learn
  • Low hierarchy, ability to work autonomous without needless sign-off
  • Social culture with good team spirit, eager to learn from your experience
  • Have a good work/life balance and work in a family-friendly environment
  • Studio Bonus: There is a direct link between the creators’ input and the success or failure of a game. Therefore 5% of the net revenue of a game will be contributed to a studio bonus pool annually, uncapped
  • Restaurant card that allows you to purchase a free lunch at places of your choice
  • Employee Book Buying Program
  • Public transport card
  • Language classes
  • Sports program (½ off)

Why you're awesome

  • Bachelors in Math, Statistics, Comp Science, Engineering, or other quantitative field required; Masters or PhD preferred
  • Overall 5+ years of data science/AI research experience
  • Hands on experience with Big Data storage/tech stack like Hadoop, Spark, Hive, Cloudera, Impala or Kafka.
  • Familiar with Data Science programming languages, libraries and frameworks (Python/R, Pandas, NumPy, SciPy, Scikit learn, PyTorch, Keras, Tensorflow etc)
  • Understanding of discrete optimization approaches and algorithmic knowledge of modern DS/DM modelling methods (Bayesian classifiers, Logit regression, Decision trees, Random forest, XGboost/LightGBM, RNN, LSTM etc).
  • Experience with automating full Machine Learning models management pipeline (H2O, Databricks, DataRobot, MLOps, etc).
  • Experience with multivariate A/B testing and statistical significance measuring
  • GameHouse is an international company, so proficiency in English is a must
  • And lastly, experience in the gaming industry is a big plus!

Nice to haves

  • Fluent in SQL and MPP databases (Azure, AWS is a preference)
  • Experience in a cloud environment, preferably AWS or Azure.
  • Experience with BI platforms like Tableau / Periscope / Qlikview / PowerBI

36 bi-weekly all-hands meetings and counting….

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Life at GameHouse

We aim to create heartfelt experiences through our games. This means we embrace different stories, encourage curiosity and open-mindedness. Working at GameHouse means inspiring colleagues in an environment that is not only fun, but also determined to create the best story-driven games there are.

Your Application Process

Found a job you’re excited about? Apply! Send us your resume with all the relevant experience and let us know what makes you thrilled about the job.

First and foremost: we’ll always follow-up on your application, regardless of the next steps. If we think you could be a great fit, we will invite you for a chat (approx. 30 minutes) to go over your background, why you decided to apply, GameHouse in general, and to answer all the questions you would have for us.

Is it a match? Both on a cultural level as well as on craft and experience? Can we help you grow as well? That’s what we’ll try to find out! In this stage you will speak with your potential future manager and team mates. 

  • Step 1: An online assessment 😱?! We believe in our people and want to fully understand what drives you, where your strengths lie and how we can support you to grow. A job should be fun, engaging, and bring energy. That’s why we use an online personality and cognitive test. You will (obviously) receive all results. 
  • Step 2: Max. 3 interviews You will meet Auke & Iris (our cultural conscience). potential team members or stakeholders and you will meet Erik, our CEO.

If we both feel like we connect on the right levels, we make you an offer you can’t refuse. We discuss what you want to learn, and figure out how we can help you grow towards your goals. This way, we make sure you can be at your most awesome, and help us become better! 


Enrico Heidelberg

Enrico Heidelberg | Recruiter

1. Your name

2. The socials

3. The resumé

4. Craftsmanship

5. Submit your story

The story of your application

Step 1 of 5

  • Level 1

    The name of your character



5+ years of experience