SupercellSenior Data Analyst, Clash of Clans
任职要求
• 5+ years of experience in data science roles within the gaming industry or related fields (e.g., data analysis, data science, game economy). • Proven track records to lead significant investigations to game or product analytics using hypotheses driven insights and sound analytical frameworks. • Deep …
工作职责
• Lead initiatives to analyze game performance, aiming to boost overall long term performance of Clash of Clans • Enhance experimentation capabilities through sound experiment design and the use of key statistical methods, including causal inference, econometrics, Bayesian modeling, and A/B testing. • Partner with the Game Design, LiveOps, and Monetization teams to analyze game performance, providing clear insights to guide the game’s future direction. • Foster a hypothesis-driven insights culture within the team, strengthening decision-making across Supercell. • Mentor fellow team members, enhancing their technical skills, communication abilities, and collaboration effectiveness.
职位详情 1. 负责滴滴海外国际化广告增长的效果评估及用户行为趋势，通过深度数据洞察，挖掘关键驱动因素，推动业务增长； 2. 设计并验证流量归因模型 3. 设计并实施预算分配和竞价策略的优化模型，提升投放ROI; 4. 将业务逻辑转化为明确的数据需求，校验数据集准确性，优化数据架构； 5. 参与制定数据质量标准，执行质量检查，保障分析与建模数据可靠性。 6. 搭建数据看板，实现实时数据展示与策略决策支持; 7. 与数据科学家紧密合作，定义假设，推动业务问题转化为分析模型； 8. 与数据工程师紧密配合，确保数据稳定、可扩展，满足分析需求。 9. 主导端到端数据分析项目，从需求梳理到成果交付，联动产品、工程及营销团队。 Experienced in data analytics, prefer in growth and advertising, with a strong focus on A/B testing, predictive modeling, ETL and dashboard development. Skilled in identifying actionable insights to optimize budget allocation and campaign performance. Key areas: Statistical analysis to evaluate marketing effectiveness and user behavior trends. Design and implementation of optimization models for budget distribution and campaign bidding strategies. Dashboard creation for automated performance monitoring and strategic decision-making. Close collaboration with Data Scientists to define hypotheses and translate business questions into analytical models. 🔗 Collaboration with Data Engineers Partner with data engineers to ensure data pipelines are robust, scalable, and aligned with analytical needs. Translate business logic into clear data requirements, validate output datasets, and contribute to improving data architecture. Help define data quality standards and perform QA checks to guarantee reliable inputs for analytics and modeling. 🧩 Project Management & Stakeholder Coordination Act as a bridge between technical and non-technical teams, managing timelines, deliverables, and communication for cross-functional projects. Lead end-to-end analytics initiatives from scoping to delivery, aligning with product, engineering, and marketing teams. Define priorities, set ETAs, and ensure timely execution, often using agile tools (e.g., JIRA, Asana, Notion) to track progress.
Job Responsibilities: 1. Responsible for card acquiring data monitoring, data fluctuation analysis, and client card payment success rate metrics. 2. Understand card acquiring business trends, identify opportunities to effectively improve card acquiring performance, and collaborate with business development, risk, product, and technology teams to optimize card payment success rates for clients. 3. Sensitive to acquiring industry trends, identify potential optimization and profit growth points based on local card acquiring market characteristics, and develop regional payment solutions. 4. Demonstrate data sensitivity and clear analytical logic, proactively identify payment-related optimization points and actively promote their implementation.
The Measurement Strategist joins the team responsible for evaluating, sourcing, refining and communicating outstanding insights to help our advertising customers get the most value out of their investment in Apple Ads. IN THIS ROLE, YOU WILL: - Support Partner Development team from both business and technical lens to drive revenue growth. - Investigation in client challenges, identify and conduct analysis to respond and solve sophisticated customer problems. - Work with large data sets, breaking it down into easily understandable stories, and communicate these narratives to clients and internal partners. - Partner with Data Insights team to identify the right metrics, measure and supervise the impact of client interactions and revenue outcome; give ideas and provide feedback for new insights' development. - Liaise with Privacy and Legal teams to ensure that proposed data sets honor Apple Ads’ privacy principles. - Collaborate with Product team to integrate successful pilots into customer facing reporting tools.