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At SHOPLINE we are working on very interesting initiatives that would involve using data-mining and machine learning. with the vast amount of data that we currently have and growing exponentially. We will share details during the interview. 【What you'll be doing 】 - Develop, operate, and monitor ETL for data collection, cleansing, processing, storage, and analytics - Responsible for data schema management and db performance tuning - Develop backend APIs and maintain data visualization platform f

1. Conduct data science projects to help clients drive solutions and solve business problems from various domains using a wide range of data science techniques, including but not limited to Machine learning, data visualization, statistics, and so on. 2. Design, develop and maintain scalable automated machine learning and data science pipelines and applications to empower users to extract valuable results. 3. Build new and enhance existing tools to strengthen the internal toolbox of the Data

- 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 -

Manage team of data analysts to ensure data integrity, accuracy, and delivery of data dashboards across our Indonesia operations. Develop, improve, and optimize both system, tools, and data processing towards full automation. Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making with key business stakeholders in the organization. Consulting and problem-solving mind

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

What you will do: Collect and organize data from various sources. Analyze data using statistical methods and tools to identify trends and patterns. Create visualizations, such as charts and graphs, to communicate findings effectively. Collaborate with team members to understand their data needs and requirements.

Description The Role: Logitech is looking for a bright & well-rounded Reporting & Visualization Engineer to build compelling, interactive, and beautiful visualizations that will help Logitech make great decisions. This person will obtain requirements from the Marketing teams to design and develop effective dashboard solutions that help the business make sense of complex data whilst taking strategic decisions . Your Contribution: Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challeng

面臨直接衝擊，數位轉型勢不可擋，迄今涵蓋多家國內外大型品牌商家。 前端工程師打造 SkyREC 的各項 Data 和 AiMS 產品，包括數據分析報表、用戶分群系統、用戶畫像、地圖應用結合、圖像搜索、...等系統功

1. 開發工廠生產測試程式 2. 量試階段技轉及協助工廠完成生產測試程式驗證及導入 3. 測試程式改善優化(UI/Bug Fixed) 4. 處理客戶相關生產測試程式技術問題 5. 與客戶協調溝通生

What we're looking for We're in search of a Software Engineer with a passion for creating foundational software that powers user interfaces and interactions. You'll be responsible for developing SDKs that enable seamless integration and creating dynamic dashboards for data visualization. Application Process: Only accepting applications through the following link https://tally.so/r/n9lJ9K Responsibilities Develop and maintain our SDKs using Node.js, ensuring they are robust and