3/27更新的Data Analyst Intern 數據分析實習生(月薪制/時薪制)-歡迎在校⽣、應屆畢業⽣或沒有前端工程⼯作經驗者

工作內容

• 需求人數

  ：1人
• 關於我們 在海量數據中挖掘商業價值 TVBS 擁有數百萬的活躍用戶與龐大的內容生態系（新聞、影音、電商等）。資料分析團隊是驅動產品與營運策略的核心大腦。我們不只是產出報表，更致力於將複雜的使用者行為數據轉化為具體的商業洞察，持續優化 TVBS 的內容與服務體驗。 我們正在尋找具備商業敏銳度與基礎程式邏輯的資料分析實習生 (Data Analytics Intern)。在資深分析師與工程師的指導（Mentorship）下，你將深入企業級的資料倉儲，參與真實的產品優化專案。你將學習如何定義指標、建立自動化視覺報表，並培養嚴謹的「資料治理」與「系統化監控」思維，成為產品與營運團隊最信任的數據夥伴。 【主要職責】 (Responsibilities) ● 數據分析與洞察萃取： 協助分析 Web/App 使用者行為、內容表現與行銷成效，從數據中找出具體可行的優化建議，並運用 BI 工具建立與維護視覺化報表（Dashboards）支援商業決策。 ● 資料品質與治理： 協助優化資料字典與事件追蹤的命名規範（Naming Conventions），確保團隊有一致的數據語言；並學習以「系統優先」的思維，協助設計異常檢測機制（如流量異常自動化警示）。 ● 資料處理與自動化： 學習撰寫分析腳本與自動化查詢，協助處理日常的數據萃取需求，並確保產出結果的準確性。 ● 跨團隊協作與溝通： 跟隨資深分析師參與需求訪談，學習與 PM、行銷及工程團隊溝通，將模糊的商業問題轉化為明確的數據驗證指標。 About Us: Uncovering Business Value in Massive Datasets TVBS boasts an active user base of millions and a vast content ecosystem spanning news, video, and e-commerce. The Data Analytics team is the core brain driving our product and operational strategies. We don't just generate reports; we are dedicated to transforming complex user behavior data into actionable business insights. We are looking for a Data Analytics Intern with strong logical thinking and fundamental programming skills. Under the mentorship of senior analysts and engineers, you will dive into an enterprise-grade data warehouse and participate in real-world product optimization projects. You will learn how to define metrics, build automated visual dashboards, and cultivate a rigorous mindset for data governance and systematic monitoring. Key Responsibilities ● Data Analysis & Insights: Assist in analyzing Web/App user behavior and content performance to discover actionable recommendations. Build and maintain visual dashboards using BI tools to support business decisions. ● Data Quality & Governance: Assist in optimizing data dictionaries and event tracking naming conventions to ensure a common data language. Learn a "system-first" approach by helping design anomaly detection mechanisms (e.g., automated traffic alerts). ● Data Processing & Automation: Learn to write analysis scripts and automated queries to handle daily data extraction requests while ensuring the accuracy of the output. ● Cross-functional Collaboration: Shadow senior analysts in requirement discussions, learning to collaborate with PMs, marketing, and engineering teams to translate ambiguous business problems into measurable metrics.