Head of Data - BeReal

Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 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
At BeReal, we are dedicated to authenticity in social media. By encouraging users to share unfiltered moments, we foster genuine connections and celebrate real life. We are now an international team of 60+ and have 30M+ monthly active users. Backed by Voodoo, our team is fully focused on scaling BeReal into an iconic social network used by hundreds of millions.
We are looking for a talented Head of Data, deeply passionate about algorithms, data science, data-engineering and data-driven decisions, transforming raw data into clear actionable business insights, who will play a key role in the development of BeReal.
Role

• Tackle strategic and operational challenges by analyzing large and complex datasets
• Enable product teams to independently navigate Amplitude dashboards and make informed decisions
• Provide actionable recommendations from A/B tests to shape the product roadmap
• Build and scale a robust data infrastructure that addresses both business intelligence and data science needs
• Lead and mentor a team of Data Analysts, Data Engineers, and Data Scientists

Our stack

• Infra: GCP, BigQuery, Spanner
• ETL: Airflow, DBT
• Product Analytics: Amplitude
• Data visualisation: Hex, Tableau

Profile

• 8+ years of experience in Data (Science, Analysis, Engineering)
• Extensive experience in modeling and analyzing high volumes of user-level data
• Proven track record of successfully deploying data science projects to production
• Ability to communicate clearly and efficiently on analytically complex topics
• Experience in designing and analyzing complex A/B tests for mobile applications
• Advanced knowledge of statistical tools and models
• Fluent in French and English
• Experience implementing measures to ensure compliance with data privacy regulations (nice to have)
• Experience developing and deploying recommendation systems (nice to have)