CakeResume Job Search

ABOUT THE ROLE 職位描述： Nielsen’s Media Analysts provide valuable insights and research studies to solve clients’ business issues and support clients’ goals by leveraging Nielsen’s research or statistical databases, tools, studies, or methodologies. Meanwhile, Nielsen’s Media Analysts create business opportunities by prospecting clients’ current or future needs, and providing Nielsen’s solutions to solve clients business needs. 尼爾森的媒體分析師通過利用尼爾

As a Product Data Analyst at 9GAG, you will work with different teams to build products. We are looking for an extremely entrepreneurial Product Data Analyst, with a deep understanding of transforming abstract data concepts and a massive amount of data into insights and recommendations, to help innovate and execute product initiatives across the company. This position is full-time and remotely based on Hong Kong time zone. Responsibilities Understand 9GAG’s strategic and competitive position to

ABOUT THE ROLE 職位描述： Nielsen’s Senior Media Analysts provide valuable insights and research studies to solve clients’ business issues and support clients’ goals by leveraging Nielsen’s research or statistical databases, tools, studies, or methodologies. This role require to maintain a client service orientation by managing day-to-day administration of client service and the candidate must possess have strong passion reach out clients or develop new business. 尼爾森的媒體

Google welcomes people with disabilities. Minimum qualifications: Bachelor's degree in Computer Science, related technical field, or equivalent practical experience. Experience collaborating with various teams such as developers, test engineers, and product management. Preferred qualifications: Experience applying AI/ML in automation or data analytics use cases. Experience developing infrastructure and tools to streamline and scale operational workflow. Experience developing back-end services or

- Develop data records management processes and policies - Identify areas to increase efficiency and automation of processes - Set up and maintain automated data processes - Identify, evaluate and implement external services and tools to support data validation and cleansing - Produce and track key performance indicators of all digital channels (paid, owned, earned media) - Creating dashboards, data visualizations, and campaign and website performance reports. - Monitor and audit data quality -

期的狀態 能為客人開發並維護在線服務解決方案 能按時完成工作並與全球客戶和供應商多元化團隊中良好地工作 - Product/Portfolio management for Spare Parts - Develop and publish guides to solving technical issues - Data accuracy - Works to deadline - Works well on a diverse team with global customers and suppliers

歷登錄網址: Link [Summary] Winbond is building a data intelligence team to increase productivity, data capability, and business impact. This team is in charge of enterprise data platform, AI and BI solutions to empower not only business operation but also strategic decisions. We are looking for Data Engineer/Analyst to join this new and world-class data intelligence team. You'll collaborate with other Data Scientists, Data Engineers, and various domain-subject ex

1. 規劃並導入AI、大數據、邊緣運算數據架構及新技術，制定使用技術規範及標準作業流程，整體技術發展輪廓與藍圖。帶領及管理技術開發團隊。程式設計開發撰寫經驗至少4年以上。 2. 熟悉

Communicates with the managerial levels of Business entities and defines configuration specifications as well as business analysis requirements; Analyses and prioritizes set of KPIs and metrics, and builds data flow diagrams for developers to follow; Uses programming language (Python, SQL) to find hidden patterns and creates DAX queries to generate data and presents reports on Power BI; Perform quality assurance: Tests/ evaluate the quality of Tech applications, report on common issues and make

Get data from both internal and external sources via API or crawlers. Perform data analysis to help marketing/business teams to answer business/operational questions. Build and optimize models for business decision making. Interpret trends or patterns from complex data sets by using statistical and visualization tools. Conduct data analysis reports to illustrate/visualize the results and insight. Build analytics tools that utilize the data pipeline to provide insights to customer needs