Voodoo
Experienced Data Analyst (Ad-network)
1mo ago
EuropeSeniorRemotedata analysissqldata visualizationmachine learning
Experienced Data Analyst role focused on ad network data to improve monetization and support product growth.
Conditions
- Competitive salary based on experience
- Swile Lunch voucher
- Gymlib (100% covered by Voodoo)
- Premium healthcare coverage with SideCare, 100% covered for you and your family
- Wellness activities in our Paris office
- Remote Fridays
Other
- 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.
- Voodoo Ad-Network is an autonomous product of around 30 people that carries the ambitious mission of providing ad network services. One goal is to leverage Voodoo’s first-party data to improve Voodoo’s monetisation. Moreover, the product is growing through new ventures like opening up to external inventory, reaching the external-advertisers market and social-network monetisation through BeReal’s recent acquisition. Thanks to promising results, our ambition is now to scale up the team to support growth. The Ad Experience team owns the end-to-end quality of the ads delivered by our network, from ad rendering to data collection. It has a strong focus on viewability, tracker integrity and the diagnostic signals that feed our Machine Learning models. It’s composed of mostly senior Software Engi
- We’re looking for an Experienced Data Analyst to join our Engineering & Data team. In this role, you will:
- Work on end-to-end data projects with the Ad Experience squad to improve ad delivery quality, reduce ad-load and rendering failures, and maintain a high data quality.
- Monitor SDK diagnostic events and build alerting, anomaly detection and root-cause analyses on top of the Ad Experience datasets.
- Build data collection and transformation pipelines, and actionable dashboards.
- Analyze large, complex data sets with billions of events representing the behaviour of mobile game players and of our ad network to investigate ad-quality regressions, attribution discrepancies and SDK rollouts.
- Design solutions from scratch, iterate quickly, create POCs, and deploy to production rapidly.
- Occasionally leverage Python skills and Statistics skills to support A/B tests on ad-experience changes
- You possess substantial experience in analytical roles, ideally within a web or mobile company or the tech or ad tech 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 solid experience in ETL development.
- You have solid experience with DBT.
- You have practical experience with Tableau or another standard dashboard platform, and can create dashboards that are shared company-wide, facilitating data-driven decision-making across departments.
- Advanced knowledge of statistical tools and models will be considered a significant advantage.
- Development skills, particularly in Python, will be considered a significant advantage
- You enjoy working in a fast-paced environment and are able to balance the tradeoff between time-consuming development and rapid results.
- You have a solid problem solving mindset as well as a great track record demonstrating ownership and ability to come up with innovative ideas.
- A BA/B.Sc degree in Statistics, Math, Engineering, Economy, or other quantitative fields is mandatory for this role.
- DBT; Tableau; SQL; Athena; Spark; Python