Voodoo

Tech

ExperiencedDataAnalyst

Paris, France FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Experienced Data Analyst at Voodoo. Skills: SQL, ETL development, DBT, Tableau, Python, Statistics. 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.”

What You'll Achieve.

improve ad delivery quality; reduce ad-load and rendering failures; maintain a high data quality; improve Voodoo’s monetisation

Industry & Context.

Tech
Problems you'll solve

solid problem solving mindset

What They're Looking For.

Must Have

substantial experience in analytical roles, highly skilled in SQL, proven track record of building production-ready pipelines that handle large and complex data sets, solid experience in ETL development, solid experience with DBT, practical experience with Tableau or another standard dashboard platform, BA. Sc degree in Statistics, Math, Engineering, Economy, or other quantitative fields

Nice to Have

Development skills, particularly in Python, Advanced knowledge of statistical tools and models

What You'll Do.

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.

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

and deploy to production rapidly.

How You'll Work.

Team & Collaboration

Work on end-to-end data projects with the Ad Experience squad

Process & Methodology

Design solutions from scratch, iterate quickly, create POCs, deploy to production rapidly

Full Job Description

ABOUT VOODOO 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 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. ROLE 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 repres

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