Product Data Analyst - Midcore Games

On-siteMidData Analystposted 2mo ago

✦Role summaryAI-generated

Mid-level data analyst role focused on driving data-driven decisions for a high-growth mobile game prototype at Voodoo, bridging technical analysis with business strategy to optimize player engagement and market readiness.

Skills required

SQL Python Player behavior analytics Game data pipelines A/B testing Data visualization Data warehousing Business intelligence Data quality assurance Game metrics Recommendation systems R Statistics

About this role

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

You will be an integral part of a newly established internal studio, a dynamic and focused team dedicated to one of our most promising prototype in scale. This studio is specifically chartered to improve this high-potential game up to the successful and market-ready title it is meant to become.

Role

Act as a trusted advisor on all things data, establishing best practices for data collection, analysis, and reporting.
Lead the analysis of large, complex datasets to understand player behavior and identify opportunities for growth in engagement, retention, and monetization.
Translate data insights into clear recommendations to inform game design, feature development, and the overall product roadmap.
Collaborate cross-functionally with game designers, product managers, and developers to ensure data-driven strategies are embedded throughout the game’s lifecycle.
Design, build, and maintain automated dashboards and reports, ensuring the entire team has access to critical metrics and insights.
Utilize A/B testing to evaluate and optimize game features and mechanics, driving measurable improvements in key performance indicators.

Profile

At least 4 years of analytical work experience in the gaming, tech or a data-driven industry, with a proven track record working in close connection with product teams.
Proficient with SQL and either R or Python, with a proven experience working with large and complex data sets.
Good knowledge of statistical analysis and concepts used for industry-standard methods like AB testing or forecasting.
Autonomous person with a strong analytical mind, problem-solving skills and strong attention to detail.
Ability to understand a business problem, turn it into an analytics/statistics problem and solve it using adequate methods.
Highly pragmatic mindset with the ability to quickly identify what needs to be focused on and what can be considered of lower priority.
Capacity to be the pro-active owner of the entire data chain for your game.