高级游戏数据分析师（欧洲、亚洲）
Senior Games Data Analyst (Europe, Asia)
职位描述
我们正在寻找一位高级游戏数据分析师，将玩家和产品数据转化为可操作的洞察，以提升玩家体验、参与度、留存率和变现能力。
在这个职位中，你将与产品经理、游戏运营、市场、CRM和工程团队紧密合作。你将主导分析项目，评估游戏功能和促销活动，建立可靠的测量框架，并提供数据驱动的建议，影响产品策略和商业决策。
我们的技术栈
- Python
- Tableau/Power BI/Looker/Apache Superset
- SQL
工作内容
- 分析玩家在整个生命周期中的行为，包括获取、引导、参与、留存、变现、流失和召回。
- 通过玩家分群、漏斗分析、群体分析、留存分析和行为模式分析，识别机会和风险。
- 设计并评估A/B测试和其他实验，包括假设制定、样本量估算、指标选择、统计测试和结果解读。
- 评估游戏功能、促销活动、活动、奖励和营销活动的性能。
- 为不同游戏和玩家群体定义并维护关键产品指标和分析框架。
- 构建仪表盘和定期报告，使利益相关者能够监控产品表现并做出及时决策。
- 调查关键绩效指标的异常变化，确定其根本原因和业务影响。
- 将复杂的分析结果转化为对技术和非技术利益相关者的清晰建议。
- 与产品经理和游戏团队合作，在推出新功能或项目前定义分析需求。
- 与数据工程师合作，提升数据质量、追踪覆盖率、数据模型和分析数据集。
- 在整个组织中推广一致的分析标准，鼓励数据驱动的决策。
任职要求
- 5年以上数据分析师、产品分析师、商业智能或相关领域的工作经验。
- 至少3年在游戏、在线娱乐、博彩或金融量化研究，或其他高流量数字产品环境的工作经验。
- 在SCI索引期刊上发表过与统计相关的研究成果者优先。
- 精通SQL，并有处理大规模数据集的经验。
- 对产品和游戏有深入理解，具备良好的分析能力和逻辑思维。
查看英文原文
About the role
We are looking for a Senior Games Data Analyst to transform player and product data into actionable insights that improve player experience, engagement, retention, and monetization.
In this role, you will partner closely with Product Managers, Game Operations, Marketing, CRM, and Engineering teams. You will lead analytical projects, evaluate game features and promotional activities, establish reliable measurement frameworks, and provide data-driven recommendations that influence product strategy and business decisions.
Our Stack
- Python
- Tableau/Power BI/Looker/Apache Superset
- SQL
What you'll be doing
- Analyze player behavior across the full lifecycle, including acquisition, onboarding, engagement, retention, monetization, churn, and reactivation.
- Identify opportunities and risks through player segmentation, funnel analysis, cohort analysis, retention analysis, and behavioral pattern analysis.
- Design and evaluate A/B tests and other experiments, including hypothesis development, sample-size estimation, metric selection, statistical testing, and result interpretation.
- Measure the performance of game features, promotions, events, bonuses, and campaigns.
- Define and maintain key product metrics and analytical frameworks for different games and player segments.
- Build dashboards and recurring reports that allow stakeholders to monitor product performance and make timely decisions.
- Investigate unusual changes in KPIs and determine their underlying causes and business impact.
- Translate complex analytical findings into clear recommendations for both technical and non-technical stakeholders.
- Partner with Product Managers and game teams to define analytical requirements before launching new features or initiatives.
- Work with Data Engineers to improve data quality, tracking coverage, data models, and analytical datasets.
- Promote consistent analytical standards and encourage data-informed decision-making across the organization.
What you'll bring
- 5+ years of experience in data analytics, product analytics, business intelligence, or a related field.
- At least 3 years of experience in gaming, online entertainment, betting, or financial quantitative research, or another high-volume digital product environment.
- Having published statistics-related research in an SCI-indexed journal is a plus.
- Advanced SQL skills and experience working with large-scale datasets.
- Strong understanding of product and gaming metrics, including DAU/MAU, retention, churn, conversion, ARPU, ARPPU, payer rate, LTV, and player value.
- Solid knowledge of statistics, hypothesis testing, experiment design, and A/B testing.
- Experience using Python or R for data analysis, statistical modelling, or automation.
- Experience with BI and visualization tools such as Tableau, Power BI, Looker, or Apache Superset.
- Strong analytical thinking and the ability to move from a business question to a structured analysis and actionable recommendation.
- Excellent communication and stakeholder-management skills.
- Ability to manage multiple projects and work independently in a fast-paced environment.
- Familiarity with cloud data warehouses such as Amazon Redshift, Snowflake, BigQuery, or Databricks.
- Experience with event-tracking design and data-quality validation.
What’s in it for you
- Sporty is a remote first company in pursuit of sustainability
- A competitive salary + individual performance based bonuses every quarter
- 28 days paid annual leave
- Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
- Referral bonuses & flash bonuses
- Top of the line equipment
- Annual company retreats to provide great internal networking opportunities
Interview Process
- Remote video screening with our Talent Acquisition Team
- Offline Take home assignment
- Remote video interview with Team Members (3x45 Mins)
If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.
*We are committed to maintaining a fair, secure and authentic recruitment process. Applications submitted using false, misleading or fraudulent information, including impersonated or fake profiles, will not be considered. Where reasonably necessary to protect the integrity and security of our recruitment process, we may verify a candidate’s identity and/or the accuracy of information provided during the recruitment process. Any such checks will be carried out in a proportionate and appropriate manner and in accordance with applicable data protection and employment laws.