Job Opportunities API

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.