Qualifications

• 5+ years in analytics/data roles; expertise in SQL and Python or R.
• Proficient in statistics/experimentation; machine learning experience is a must.
• Familiarity with large-scale data environments like Hadoop/Spark and cloud solutions (Redshift/BigQuery/Snowflake).
• Experience with BI tools such as Tableau, Looker, or Power BI.
• Demonstrated ability to collaborate across regions and time zones.
• Fluent in English.

Responsibilities

• Define measurements and telemetry specifications for player behavior tracking.
• Conduct deep analyses on player engagement and monetization metrics and convert insights into actionable strategies.
• Design and assess A/B and multivariate tests to evaluate the impact of game updates and marketing campaigns.
• Build and maintain dashboards and reports to enhance data accessibility for stakeholders.
• Leverage AI/ML techniques to develop advanced analytics models for user segmentation and behavior prediction.
• Effectively communicate insights and recommendations to global partners.

Benefits

• Flexible work options with a hybrid/onsite model.
• Access to advanced tools and technologies in analytics and data science.
• Opportunity to collaborate with a global team in a leading gaming studio.
• Focus on data-driven decision making that directly impacts player experience.