【外商】Data Analyst (Mid to Sr. Level) (數據分析師) #Fintech #MySQL #3年以上相關經驗者

【Who we are ?】 Hytech是一個年輕、充滿活力的團隊，專注於推動金融科技行業的企業技術轉型，是全球領先的管理技術諮詢公司。創新思維和扁平化的管理，讓團隊成員以公開、透明的方式自在工作，也為全球客戶提供卓越的商業價值服務。 【Why join the team? 】 Hytech 團隊在共事的過程中核心技術會與時俱進，即時討論，並且有良好的溝通管道，扁平化管理，任何問題或意見都可以討論及合作解決。密切的與跨國同事團隊交流。 【About the role - Data Analyst】 As a Data Analyst at Hytech, you will analyze user behavior on financial trading platforms, focusing on app users and their growth journey, including conversion and retention metrics. You will leverage insights from user behavior data to optimize engagement channels—such as push notifications—driving the conversion of registered users into funded, active traders. (作為 Hytech 的數據分析師，您將負責分析金融交易平台上的用戶行為，專注於應用程式用戶增長過程，包括轉化與留存指標。您將運用數據洞察優化平台渠道，例如透過推播通知，提升用戶參與度，並促使一般用戶轉化為活躍交易者) 【身為團隊的一份子您將負責】 1. Develop, implement, and maintain leading analytical systems to solve complex problems and build simplified frameworks. (開發、實施並維護領先的分析系統，以解決複雜問題並建立簡化框架) 2. Analyze complex datasets to identify growth trends and opportunities. (分析複雜數據集，識別增長趨勢與商機) 3. Evaluate organizational methodologies and provide source-to-target mapping and information model specification documents for datasets. (評估組織方法，提供數據集的來源到目標映射，以及資訊模型規範文件) 4. Create best-practice reports based on data cleansing, analysis, and visualization. (基於數據清理、分析與可視化，建立最佳實踐報告) 5. Assess the efficiency, issues, and inaccuracies of internal systems, and establish and maintain standard processes for handling, processing, and cleansing data. (評估內部系統的效率、問題與不準確性，制定並維護數據處理、整理與清理的標準流程) 6. Collaborate directly with management and users to gather requirements, provide status updates, and build strong relationships. (直接與管理層及內部用戶合作，收集需求、提供狀態更新，並建立穩固的合作關係) 7. Work closely with project/product managers to understand and continuously address their analytical needs, including identifying key metrics and KPIs, and providing actionable insights to relevant decision-makers. (與專案/產品經理密切合作，了解並持續關注其分析需求，包括識別關鍵指標與 KPI，並向相關決策者提供可行的數據洞察) 8. Proactively analyze data to respond to key stakeholder questions or spontaneous inquiries, focusing on factors driving business performance and investigating and communicating areas for improving efficiency and productivity. (主動分析數據，回應關鍵問題或突發性需求，關注推動業務績效的因素，並調查與溝通可提升效率與生產力的改進方向) 9. Interpret and analyze data to create and maintain interactive visualizations, integrating various reporting components from multiple data sources. (解讀與分析數據，建立並維護互動式視覺化報表，整合來自多個數據來源的各類報告元件) 10. Define and implement data acquisition and integration logic, selecting appropriate methodologies and toolsets to ensure optimal scalability and performance within the defined technology stack. (定義並實施數據獲取與整合邏輯，選擇適當的方法與工具組合，確保解決方案在既定技術架構下達到最佳的可擴展性與效能)