Data Analyst

Paris

Voodoo

We entertain millions of users around the world every month with our games and apps.

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Voodoo is a tech company that creates mobile games and apps. With 7 billion downloads and over 150 million monthly active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta.
The company is one of the most impressive examples of hypergrowth in the ecosystem, having raised over $1B and backed by Goldman Sachs, Tencent, and GBL.
Voodoo is now a team of over 750 employees worldwide, we’re looking for talented individuals from across the globe to come and entertain the world with us.

Team
The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry. The Engineering & Data team plays a key role in Voodoo’s long-term strategy. It enables Voodoo to both accelerate product diversification and provide a state of the art growth-engine to distribute and scale our games. They create innovative solutions that drive growth with a pragmatic approach, ranging from simple searching to complex machine learning systems.
We are looking for a Data Analyst who is deeply passionate about data-driven decisions, transforming raw data into clear actionable business insights, and who is constantly driving themselves and the team towards completing the next challenge.By joining this team, you will have a strong impact on the business and a unique opportunity to reach hundreds of millions of users with your insights and recommendations. 
The Analytics Team works closely with Voodoo’s game studios. We specialize in crafting analytical tools that dissect gaming behavior, offering crucial insights to our studio game analysts. Our proficiency in analyzing gaming behavior equips us to devise and implement innovative solutions. These solutions fuel growth and fortify the success of Voodoo’s diverse gaming portfolio.

Role

  • Work on end-to-end data projects in collaboration with internal departments, aiming to enhance our games and boost both monetization and player retention.
  • Build and manage robust data pipelines to align with ever-evolving business needs, ensuring optimal architecture support.
  • Develop dashboards and reports to foster company-wide comprehension of key business metrics and player experiences.
  • Analyze large, complex datasets representing the behavior of millions of online and mobile game players, delivering actionable recommendations that shape game features, economies, and future product roadmaps.

Profile

  • You possess substantial experience in analytical roles, ideally within a web or mobile company or the online gaming industry.
  • You are highly skilled in SQL and have a proven track record of building production-ready pipelines that handle large and complex data sets.
  • You have practical experience with Tableau, and can create dashboards that are shared company-wide, facilitating data-driven decision-making across departments.
  • You enjoy working in a fast-paced environment and are able to balance the tradeoff between time-consuming development and rapid results.
  • A BA/B.Sc degree in Statistics, Math, Engineering, Economy, or other quantitative fields is mandatory for this role.
  • Advanced knowledge of statistical tools and models will be considered a significant advantage.
Benefits:
Competitive salary upon experienceSwile Lunch voucherGymlib (100% borne by Voodoo)Premium healthcare coverage SideCare, for your family is 100% borne by VoodooChild day care facilities (Les Petits Chaperons rouges)Wellness activities in our Paris officeUnlimited vacation policyRemote days
Voodoo just won the award for Best Office Space in France
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture Data pipelines Engineering Machine Learning Mathematics Pipelines SQL Statistics Tableau

Perks/benefits: Career development Competitive pay Team events

Region: Europe
Country: France
Job stats:  11  0  0
Category: Analyst Jobs

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