
Product Data Analyst - Wizz at Voodoo (Paris, France)
Voodoo · Paris, France·
Role details
Voodoo at a glance
A French mobile-entertainment company that develops and publishes mobile games and consumer apps (BeReal, Wizz) at massive scale.
Voodoo is a French mobile entertainment company that develops and publishes mobile games and consumer apps, and runs the growth, ad-network, and monetization infrastructure that turns their massive playtime into revenue. It works with thousands of external studios and owns apps including BeReal, Wizz, and Blitz.
$812M raised · latest: GBL minority stake (~16%) · €266M · 2021 (valued ~€1.7B) · backed by Goldman Sachs, Tencent, Groupe Bruxelles Lambert (GBL)
Job description
Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 8 billion downloads, and over 400 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.
Team
Our consumer apps teams are at the forefront of crafting innovative and engaging apps for daily enjoyment. Our ambition extends beyond gaming to entertain a global audience. Millions of people around the world, especially in the US, download and use the apps we create.
You'll be working on Wizz, a social app specifically designed for teens, boasting over 5 million monthly active users in the US and UK. As a member of a high-performing team of 20, you'll collaborate to further scale and enhance Wizz, fostering a spirit of goodwill and creativity. As Wizz continues its dynamic growth and development, we are seeking an ambitious Product Data Analyst to join.
Role
- Conduct thorough analyses of pre and post product changes, defining KPIs and prioritizing initiatives based on expected impact.
- Collaborate with cross-functional teams on AB testing, analyzing results, and improving testing frameworks for enhanced product evaluation.
- Align performance metrics with strategic goals to define quarterly objectives, ensuring decisions are data-driven and well-informed.
Profile
- You are fluent in French & English
- You thrive in a fast-paced environment and are able to balance the tradeoff between time-consuming development and rapid results
- Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related field; advanced degree preferred.
- At least 2 years of proven experience in product analytics, AB testing, and data-driven decision-making; experience doing product analytics for consumer apps is a plus
- Proficiency in SQL for data analysis and manipulation; experience with scripting languages such as Python or R is a plus.
- Familiarity with a product analysis tool (Mixpanel, Amplitude)
- Excellent communication skills with the ability to translate complex data insights into actionable recommendations for stakeholders.
- Strategic mindset with the ability to align data analyses with broader business objectives and drive impact through strategic initiatives.
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
- Wellness activities in our Paris office
- Unlimited vacation policy
Why work at Voodoo
- Culture: Values include speed, risk-taking, direct feedback, fighting bureaucracy, high standards, ownership, and long-term thinking. Described as fast-paced and focused on learning quickly.
- Hiring process: Aimed at completion within 30 days; includes recruiter conversation, case study/skill test, Q&A, and final interview with senior leadership.
- Teams: Growth, Engineering & Data, Gaming, Apps, Strategy & Operations, Corporate.
- Work environment: Global offices in Paris (HQ), Istanbul, Montreal, Singapore, and Japan. Remote/hybrid policy not explicitly stated, but roles are likely office-based in key hubs.
- Notable perks: Opportunity to work on products with billions of users; ownership mindset encouraged; flat hierarchies with direct feedback culture.