Game Economy Data Analyst

About this task

Role Summary:
Continuously optimize the post-launch game economy, rewards, coin consumption, events, bundles, monetization pacing, and player experience. Improve retention, payment conversion, ARPDAU, and LTV through data analysis and live configuration while preventing sudden coin shortages, reward inflation, and player fatigue.

Responsibilities:
1. Monitor core game metrics, including new-user retention, payment conversion, ARPDAU, ARPPU, LTV, betting distribution, coin balances, bankruptcy rate, bundle purchase rate, and event participation rate.
2. Analyze players' numerical experience, including whether new players have sufficient coins, betting progression is smooth, rewards are attractive, and levels or machines are excessively difficult or overly easy.
3. Manage live numerical configurations, including event rewards, task rewards, bundle pricing, VIP benefits, login rewards, reactivation rewards, and segmented offers.
4. Optimize user segmentation and design differentiated operational strategies for new, active, paying, VIP, and high-churn-risk users.
5. Drive A/B testing by proposing hypotheses, designing experiments, tracking results, and iterating configurations based on data.
6. Produce weekly numerical-experience reports covering the health of the economy, abnormal fluctuations, optimization recommendations, and the following week's experiment plan.
7. Conduct competitor analysis of events, bundles, rewards, VIP systems, coin economies, and monetization pacing in leading games.
8. Collaborate with product, game-balance design, data, development, and customer service teams to convert data findings into actionable configurations and version requirements.

Requirements:
1. Bachelor's degree or above and at least three years of experience in game operations, game-balance design, monetization operations, data analysis, or LiveOps. Experience at a major company is preferred.
2. Familiarity with core F2P game metrics, including retention, conversion, LTV, ARPDAU, ARPPU, ROI, funnels, and cohort analysis.
3. Proficiency in Excel or Google Sheets. SQL skills and the ability to independently perform data breakdowns and build simple models are preferred.
4. Strong sensitivity to player experience and the ability to identify proposals that improve metrics but may significantly harm the player experience.
5. Experience configuring events, bundles, reward systems, and segmented user operations.
6. Rigorous logical thinking and the ability to validate configurations to prevent launch incidents involving rewards, prices, or multipliers.
7. Understanding of RTP, volatility, hit frequency, coin economies, and VIP systems is a plus.

岗位定位：
负责游戏上线后的经济系统、奖励、金币消耗、活动、礼包、付费节奏和玩家体验的持续优化，通过数据分析和运营配置提升留存、付费转化、ARPDAU和LTV，同时避免玩家金币断崖、奖励膨胀和体验疲劳等问题。

岗位职责：
1、监控游戏核心数据，包括新增留存、付费转化、ARPDAU、ARPPU、LTV、下注分布、金币余额、破产率、礼包购买率和活动参与率等。
2、分析玩家数值体验，包括新手期金币是否够用、下注节奏是否顺畅、奖励是否有吸引力，以及关卡或机器体验是否过难或过于简单。
3、负责运营数值配置，包括活动奖励、任务奖励、礼包价格、VIP权益、登录奖励、召回奖励和分层优惠等。
4、进行用户分层优化，针对新手、活跃、付费、VIP及高流失风险用户设计不同运营策略。
5、推动A/B测试，提出假设、设计实验、跟踪结果，并根据数据迭代配置。
6、输出数值体验周报，说明当前经济系统健康度、异常波动、优化建议和下周实验计划。
7、开展竞品分析，跟踪主流游戏的活动、礼包、奖励、VIP、金币经济和商业化节奏。
8、与产品、数值策划、数据、开发和客服团队协作，将数据问题转化为可执行的配置和版本需求。

任职要求：
1、本科及以上学历，3年以上游戏运营、数值策划、商业化运营、数据分析或LiveOps经验，有大厂经验者优先。
2、熟悉F2P游戏核心指标，包括留存、转化、LTV、ARPDAU、ARPPU、ROI、漏斗和cohort分析。
3、熟练使用Excel或Google Sheets，掌握SQL并能独立进行数据拆解和简单建模者优先。
4、对玩家体验敏感，能够判断“数据好但体验伤害大”的方案风险。
5、有活动配置、礼包配置、奖励系统和用户分层运营经验。
6、逻辑严谨，能够进行配置校验，避免奖励、价格、倍率等上线事故。
7、理解RTP、波动率、hit frequency、金币经济和VIP体系者优先。