Driven by our passion for spreading joy and unleashing limitless creativity in the world of gaming, our goal is to establish a game studio right here in Singapore. Our dedicated focus lies in crafting casual mobile games that deeply immerse players in incredibly enjoyable experiences!

We eagerly welcome humble yet ambitious individuals to join us on this thrilling journey!

What You'll Do

• Analyze player behaviour and product performance to identify opportunities to improve retention, engagement, progression, monetisation, and LTV.
• Design, execute, and evaluate A/B tests, ensuring experiments are statistically sound and lead to actionable product decisions.
• Develop hypotheses and provide data-driven recommendations to optimize gameplay, level design, LiveOps, player protection, game economy, and monetisation.
• Partner closely with Product Managers, Engineering, and Marketing to identify opportunities, prioritize initiatives, and optimize the player experience.
• Build player segmentation, predictive models, and dashboards to support product strategy and decision-making.
• Define success metrics and measurement frameworks for new features and LiveOps events.
• Work with Engineering to ensure accurate event tracking and data quality.
• Present clear insights and recommendations to stakeholders, influencing product strategy and roadmap decisions.
• Research market trends, competitor games, and industry best practices to identify new growth opportunities.
• Utilize AI tools to improve analytical workflows and productivity.

What We're Looking For

• Bachelor's degree in Data Analytics, Statistics, Computer Science, Mathematics or Economics

• 7+ years of product analytics, game analytics, or data science experience in the mobile gaming industry.
• Proven experience working on live mobile games, with a track record of improving key product metrics through data-driven decisions.
• Demonstrated success designing and executing A/B tests that resulted in measurable improvements in retention, engagement, monetisation, or LTV.
• Strong expertise in statistics, experimental design, hypothesis testing, causal inference, and predictive modelling.
• Proficiency in SQL and Python (or R) for data analysis.
• Experience with analytics and BI tools such as AppsFlyer, Firebase, Amplitude, Tableau, or similar.
• Deep understanding of mobile game KPIs, including Retention, Engagement, LTV, ARPU, ARPPU, ROAS, Cohort Analysis, Funnel Analysis, and Player Segmentation.
• Strong communication skills with the ability to influence product decisions through data.
• Passion for mobile games and player behaviour.
• Willing to relocate to Singapore.

Benefits

• Supportive Learning Environment.
• Well-being and Personal Growth.
• Impactful Work in a Growing Industry.