Experienced Data Analyst (Ad-network)

Voodoo·France·Удалённо·1 нед. назад

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 Engineers, Mobile Developers, QA Engineers and Full Stack Engineers who iterate together to detect issues quickly, improve the user-side ad experience and protect the quality of the data flowing back into the product.

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.