Product Data Analyst

About the role

The serves as a critical strategic partner, establishing best practices for data collection, analysis, and reporting as a trusted advisor across the organization. This role is responsible for analyzing large complex datasets to deeply understand player behavior and to identify concrete opportunities for growth in engagement, retention, and monetization initiatives. The hire will translate these data insights into clear, actionable recommendations that directly inform game design decisions and the broader product roadmap. Success in this position requires close collaboration with game designers, product managers, and developers to embed data-driven strategies throughout the entire game lifecycle from concept to launch. The individual will design, build, and maintain automated dashboards and reports that provide critical metrics and insights to stakeholders. A core part of the role involves utilizing A/B testing to rigorously evaluate and optimize game features and mechanics, driving measurable improvements in key performance indicators. This position demands a high level of ownership and autonomy, acting as the primary owner of the data chain for assigned games. The ultimate goal is to leverage analytical expertise to solve business problems and uncover meaningful opportunities that drive player acquisition and long-term value.

Key facts

What you'll do

• Establish best practices for data collection, analysis, and reporting as trusted advisor.
• Analyze large complex datasets to understand player behavior and identify opportunities for growth in engagement retention monetization.
• Translate data insights into clear recommendations to inform game design feature development and product roadmap.
• Collaborate cross-functionally with game designers product managers and developers to embed data-driven strategies throughout game lifecycle.
• Design build and maintain automated dashboards and reports for critical metrics and insights.
• Utilize A/B testing to evaluate and optimize game features and mechanics driving measurable improvements in key performance indicators.
• Establish best practices for data collection, analysis, and reporting as trusted advisor.
• Analyze large complex datasets to understand player behavior and identify opportunities for growth in engagement retention monetization.
• Translate data insights into clear recommendations to inform game design feature development and product roadmap.
• Collaborate cross-functionally with game designers product managers and developers to embed data-driven strategies throughout game lifecycle.
• Design build and maintain automated dashboards and reports for critical metrics and insights.
• Utilize A/B testing to evaluate and optimize game features and mechanics driving measurable improvements in key performance indicators.
• Partner with monetization teams to analyze pricing strategies and in-app purchase flows, identifying levers to optimize revenue without compromising player experience.
• Conduct cohort and funnel analyses to diagnose drop-off points and surface opportunities to improve new user onboarding and long-term retention.

Requirements

• At least 4 years of analytical work experience in gaming tech or data-driven industry with proven track record working closely with product teams.
• Proficient with SQL and either R or Python with 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 with strong analytical mind problem-solving skills and strong attention to detail.
• Ability to understand a business problem translate it into an analytics/statistics problem and solve it using adequate methods.
• Highly pragmatic mindset with ability to quickly identify focus and lower priority.
• Capacity to be proactive owner of the entire data chain for your game.
• Fluency in English is required to collaborate effectively with international teams and stakeholders.

Skills & tools

You will use SQL. You will use R. You will use Python. You will use A/B testing. You will use forecasting. You will use statistical analysis.

Practical notes

Note: About the company

Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees from 40+ nationalities, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta.

Establish best practices for data collection, analysis, and reporting as trusted advisor.

Analyze large complex datasets to understand player behavior and identify opportunities for growth in engagement retention monetization.

Translate data insights into clear recommendations to inform game design feature development and product roadmap.

Collaborate cross-functionally with game designers product managers and developers to embed data-driven strategies throughout game lifecycle.

Design build and maintain automated dashboards and reports for critical metrics and insights.

Utilize A/B testing to evaluate and optimize game features and mechanics driving measurable improvements in key performance indicators.

At least 4 years of analytical work experience in gaming tech or data-driven industry with proven track record working closely with product teams.

Proficient with SQL and either R or Python with 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 with strong analytical mind problem-solving skills and strong attention to detail.

Ability to understand a business problem translate it into an analytics/statistics problem and solve it using adequate methods.