Cake 找工作

What You’ll Do Collaborate with the product team to define and implement key metrics using BigQuery, and work closely with other analysts to validate these metrics. Help teams directly with data to better acquire and retain customers, develop marketing strategies, inform related product decisions. Evaluate, develop, and build automated tracking of KPIs across the business, create in-depth analysis and dashboard. Build and maintain in-depth analysis, dashboards, and reports to monitor key perform

請直接至【 https://bit.ly/4g6p17a 】投遞履歷。 我們通常會在兩週內通知合適者進行面試；若不符合資格，將不另行通知。 About the Role 我們正在招募「後端工程師 Backend Engineer」，將會和我們的前端工程師和設計師緊密合

【工作內容】 1. 透過數據分析深入了解客戶需求和業務痛點，提供數據洞察建議，並與行銷、平台和業務單位合作，提出解決方案並追蹤成效。 2. 建立Google Analytics各項業務追蹤指標概覽，協助需求單位

工作職責： - 數據規範化（規範數據埋點、提供數據查詢規範流程等） - 構建業務指標體系（新用戶獲取、用戶活躍、用戶收入、用戶留存、用戶推廣等） - 探索用戶特徵（動因分析、A/B Test 試驗） - 協助各部門提出的

法商 55是一家全力協助品牌領航數位世界的新型數據諮詢公司，隸屬於世界第一家品牌技術集團 You & Mr Jones。我們幫助品牌充分利用數據與技術，增強透明度，提升團隊數據實力，推動數位行銷創新

有機會學習到： Vue 前端開發 前端第三方 SDK 整合運用 Django、Node.js 後端開發 GCP 雲端平台服務應用 Apache Beam、BigQuery 等數據分析語言和工具 GAM 廣告優化策略 以下是你會負責的工作內容： 和業務團隊合作，規劃與

法商 55是一家全力協助品牌領航數位世界的新型數據諮詢公司，隸屬於世界第一家品牌技術集團 You & Mr Jones。我們幫助品牌充分利用數據與技術，增強透明度，提升團隊數據實力，推動數位行銷創新

請直接至【 https://bit.ly/3U6KXpg 】投遞履歷。 我們通常會在兩週內通知合適者進行面試；若不符合資格，將不另行通知。 About the Role 我們正在招募「資深後端工程師 Senior Backend Engineer」，將會和我們的前端工程師和設計師

Position Overview: We are seeking a highly skilled and experienced Data Engineer Manager to join our team. The ideal candidate will have extensive experience with Google BigQuery (GBQ), PostgreSQL, and ETL technologies. This role will involve leading the data engineering team, designing and implementing scalable data pipelines, and optimizing our data infrastructure. You will work closely with cross-functional teams to ensure data availability, reliability, and performance. Key Responsibilities:

The Data Platform team enables our customers to ingest and perform real time analytics on critical security insights and intelligence data stored in our vast Data Lake and empower internal engineering teams to leverage the best datastore technology for their needs. Our Big Data technology stack consists of Kafka, Google PubSub, ClickHouse, Google BigQuery etc. We’re looking for software engineers with a background in distributed systems and are excited about the opportunity to work on large-scal