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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

About the role The Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more. We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs. We support various OLTP and analytics environments, including our Advanced Analytics and Digital Experience Management products.

Produce marketing KPI dashboards and deliver daily-weekly-monthly cross-channel performance reports with actionable insights Come up with conversion optimization strategies with the aim of improving efficiency in digital marketing and increasing ROI Implement tracking into various marketing initiatives using Google Tag Manager or other tools Benchmark performance across all digital channels and advice on KPIs based on performance analysis Analyze end-to-end user behavior, conversion data, custom

Build dashboards, self-service tools, and reports to analyze and present data associated with business operations and Marketing performance to support key business stakeholders to make data-driven decisions in the organization. Consulting and problem-solving mindset: Ability to work with ambiguity and uncertainty, digest business problems, propose and implement analytical solutions to derive value and outcomes. Support and manage data requests from business stakeholders – can understand business

職責: - 彙整內外部資料，運用統計或機器學習技術，結合數位行銷，洞察資料價值 - 使用BI軟體，視覺化分析結果，並提出建議及後續成效追蹤。BI軟體如PowerBI - 了解資料ETL流程(資料萃取、資料轉置、資料清理

Job description: Part of You & Mr Jones, the world's first brandtech group, fifty-five is a data company helping brands collect, analyse and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer acquisition and retention. Headquartered in Paris with offices in London, Hong Kong, New York and Shanghai, the data company was named by Deloitte as one of the fastest-growing tech firms in Europe, thanks to its unique technology

的數據工程師 Solution Engineer，您將和55台灣及亞太區團隊協助客戶解決在網站和APP上導入數據收集代碼(data collection tags )的相關問題，包含網站分析、媒體追蹤、行銷技術導入、數據追蹤現況稽核以及回應客戶相關

的數據工程師 Solution Engineer，您將和55台灣及亞太區團隊協助客戶解決在網站和APP上導入數據收集代碼(data collection tags )的相關問題，包含網站分析、媒體追蹤、行銷技術導入、數據追蹤現況稽核以及回應客戶相關

趨勢分析 : 對市場趨勢進行深入分析，識別新興行業和技術的發展動向。 分析行業動態，預測市場變化對投資機會的影響。 財務分析 : 評估潛在投資目標的財務狀況，包括財務報表分析、現金流分析和

上廣深、香港、台灣。 涵蓋零售、醫療、金融、廣告、政府等產業。 工作內容： 協助客戶進行數據處理 (data clean/transform/labeling/profiling/feature selection …etc) 協助客戶數據分析建模 協助客戶將分析結果視覺化 協助客戶搭建Private Data Management Platform