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Source channel @nextech666 · Post #310 · 8月30日

#H5游戏#cocos#pixi#layabox H5游戏客户端工程师 薪资待遇:面议,依资历谈薪 简历投递窗口:@jiesi997@nownow168@tung51688 工作职责: 职责一:开发工作 任务1、使用Egret进行项目相关功能模块的开发; 任务2、根据项目需求,进行游戏程序设计及开发工作; 职责二:协调工作 任务1、与服务器后端工程师沟通设计网络通信协议等; 任务2、与项目组策划、美术人员共同讨论开发需求及设计游戏实现细节,保证产品质量和进度; 任职要求 1、5年以上相关工作经验,1年以上Egret、Layabox、Coocs2d-js、pixi等其中一种或多种引擎开发经验,egret引擎优先; 2、熱练掌握 Javascript/Typescript语言、es6 语法,良好的OOP编程思想,熱悉各种前端调试工具,熱悉js性能优化: 3、熱悉 canvas和webgl图形学原理,熟悉CSS布局规苑等前端常规知识; 4、熟悉WebSocket 和 HTTP/HTTPS等网络协议,精通常用数据结构和算法: 5、熟悉H5游戏性能优化,善于解决跨浏览器和移动设备兼容性问题; 6、具有良好的编码规范,善于思考,具有极强的学习能力和独立解决问题的能力,能对团队代码质量负责;

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Data Analytics

@sqlspecialist · Post #1644 · 2025/05/23 18:46

✨The STAR method is a powerful technique used to answer behavioral interview questions effectively. It helps structure responses by focusing on Situation, Task, Action, and Result. For analytics professionals, using the STAR method ensures that you demonstrate your problem-solving abilities, technical skills, and business acumen in a clear and concise way. Here’s how the STAR method works, tailored for an analytics interview: 📍 1. Situation Describe the context or challenge you faced. For analysts, this might be related to data challenges, business processes, or system inefficiencies. Be specific about the setting, whether it was a project, a recurring task, or a special initiative. Example: “At my previous role as a data analyst at XYZ Company, we were experiencing a high churn rate among our subscription customers. This was a critical issue because it directly impacted revenue.”* 📍 2. Task Explain the responsibilities you had or the goals you needed to achieve in that situation. In analytics, this usually revolves around diagnosing the problem, designing experiments, or conducting data analysis. Example: “I was tasked with identifying the factors contributing to customer churn and providing actionable insights to the marketing team to help them improve retention.”* 📍 3. Action Detail the specific actions you took to address the problem. Be sure to mention any tools, software, or methodologies you used (e.g., SQL, Python, data #visualization tools, #statistical#models). This is your opportunity to showcase your technical expertise and approach to problem-solving. Example: “I collected and analyzed customer data using #SQL to extract key trends. I then used #Python for data cleaning and statistical analysis, focusing on engagement metrics, product usage patterns, and customer feedback. I also collaborated with the marketing and product teams to understand business priorities.”* 📍 4. Result Highlight the outcome of your actions, especially any measurable impact. Quantify your results if possible, as this demonstrates your effectiveness as an analyst. Show how your analysis directly influenced business decisions or outcomes. Example: “As a result of my analysis, we discovered that customers were disengaging due to a lack of certain product features. My insights led to a targeted marketing campaign and product improvements, reducing churn by 15% over the next quarter.”* Example STAR Answer for an Analytics Interview Question: Question: *"Tell me about a time you used data to solve a business problem."* Answer (STAR format): 🔻*S*: “At my previous company, our sales team was struggling with inconsistent performance, and management wasn’t sure which factors were driving the variance.” 🔻*T*: “I was assigned the task of conducting a detailed analysis to identify key drivers of sales performance and propose data-driven recommendations.” 🔻*A*: “I began by collecting sales data over the past year and segmented it by region, product line, and sales representative. I then used Python for #statistical#analysis and developed a regression model to determine the key factors influencing sales outcomes. I also visualized the data using #Tableau to present the findings to non-technical stakeholders.” 🔻*R*: “The analysis revealed that product mix and regional seasonality were significant contributors to the variability. Based on my findings, the company adjusted their sales strategy, leading to a 20% increase in sales efficiency in the next quarter.” Hope this helps you 😊