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Voodoo

Senior Product Data Analyst - Publishing Team

Voodoo is hiring a Senior Product Data Analyst - Publishing Team for a remote role open to applicants in France. Level rates it ; you can apply on Voodoo.

Level's read on this job

  • On Level's scale, this data analyst role is Little AI ●○○○: aI is not part of the work.
  • The posting lists this role as remote.
  • Level classifies it as a senior role.
  • Level lists 103 other open roles at Voodoo.

AI in this role

About Voodoo

Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way.

This position is Paris based. We can support your relocation if needed.

Team

Our Gaming team is made up of hybrid-casual, casual and mid-core experts. Our 'Core' games team supports internal and external studios worldwide in creating, developing and launching new hit games, whilst our 'Live' games team focuses on delivering higher engagement on our existing and successful games.

The Core Central Team provides hands-on support and mentoring to all Voodoo studios looking to create new casual and midcore games, and anything hybrid in between.

Role

We are looking for a Product 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.

  • Providing valuable insights and recommendations to shape game features, economies and future roadmaps.

  • Proposing AB Test and benchmarking the good practices in competitors games

  • Overseeing the tracking design and QA processes to ensure accurate data collection.

  • Developing dashboards and analysis that provide actionable insights into key product and monetization metrics.

  • Building and maintaining robust data pipelines

  • Conducting comprehensive product playtests to refine gameplay mechanics and user experience.

Profile
  • 2+ years of experience as a Data Analyst/Scientist in a fast‑paced environment, with strong skills in building production‑ready data pipelines.

  • Master Degree in Statistics / Math / Engineering / Economics or other quantitative fields

  • Strong SQL with experience querying large, complex datasets

  • Experience building production-ready data pipelines

  • Experience working with Tableau – advantage

  • Experience with data modeling tools (e.g., dbt) – advantage

  • High level of analytical and rigorous problem‑solving skills with strong attention to detail

  • Strong sense of ownership, builder’s mindset, and intellectual curiosity

  • Ability to turn complex concepts into actionable recommendations

  • Curiosity for games/player behavior and comfort in ambiguity"

  • AI-first mindset: Comfortable using AI daily and building custom agents or reusable automations to speed up your work

Benefits
  • Competitive salary upon experience

  • Swile Lunch voucher

  • Gymlib (100% borne by Voodoo)

  • Premium healthcare coverage SideCare, for your family is 100% borne by Voodoo

  • Child day care facilities (Les Petits Chaperons rouges)

  • Wellness activities in our Paris office

  • Remote days

How we rate this

Senior Product Data Analyst - Publishing Team at Voodoo rates 26 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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Pay

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$113k

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