Cake Job Search

【Job Summary】 This is an exciting opportunity at a Global Unified Commerce enabler providing SaaS solutions. As a Data Analyst, you will be responsible for deep-diving into data and providing actionable insights to facilitate better strategic decision-making. 【What you will be doing】 Deliver Insights: Provide data-driven insights to internal commercial teams, addressing a wide range of business questions and needs.Business Logic Metrics: Develop a comprehensive understanding of the business to drive the analysis of operating and tracking metricsDashboard Development: Build metrics dashboards to track and monitor platform performance and progress.Reporting: Create analytical reports to provide deep dives into key topics, enabling better decision-making to solve business problems.Proactive Exploration: Proactively explore complex datasets to uncover valuable insights and identify potential issues.Data Culture: Promote and foster a data-driven mindset within the company. 【 Who we are looking for 】 Proven Experience: Demonstrated experience in conducting data analysis and utilizing analytic/visualization tools to drive decision-making.Technical Skills: Advanced SQL skills are a must; proficiency in Python or R (Web Scraping, ML, NLP) is a plus.BI Tools: Experience with Business Intelligence tools such as Looker, Tableau, or Power BI is a plus.Communication: Strong communication skills with the ability to transform numbers into compelling stories.Independence: Ability to work independently in a fast-paced environment with minimal guidance.

關於我們 我們是一間獲獎無數、Google 官方認證的 AI 雲端技術合作夥伴，專注於人工智慧影音生成 (AIGC) 技術。核心技術結合了自然語言處理 (NLP) 與電腦視覺，能將文字自動轉化為高品質影片。目前已獲得頂尖國際創投資金挹注，客戶涵蓋台灣、日本、大中華區的知名電視台與大型媒體集團。 為什麼這個職位值得你挑戰？ 這不是一個單純代操預算的投手職位。我們正在啟動全新的商業模式：AI 影音 x 電商導購。利用我們的 AI 技術製作影片，投放於電商平台並創造營收。 產品影響力：你將與 Google 認證級的雲端技術專家、AI 科學家並肩作戰，你的市場投放數據，將直接影響 RD 團隊如何優化演算法國際舞台：初期目標鎖定月流量 3 萬以上的電商客戶，並積極拓展日本市場 核心任務 這是一個高度Data-Driven的角色，你需要兼具行銷敏銳度與邏輯分析能力： 廣告策略操盤負責 Google Ads 與 Meta (FB/IG) 的全盤操作、監控與優化針對目標市場制定投放策略，推廣 AI 影片廣告生成產品數據分析與優化極度重視 ROI 與 ROAS。每日監測數據，從財經或流量報表中找出破口，獨立調整預算配置跨部門技術協作每週參與工程團隊 (RD) 會議，與技術主管緊密合作將市場端的廣告反饋轉化為具體需求，協助技術團隊優化產品功能與演算法素材優化建議分析不同 AI 影片素材的廣告成效，回饋給設計或 AI 團隊以提升點擊率 (CTR)