崗位職責：
1.	Data Collection and Preparation: Responsible for obtaining data from multiple sources and conducting preprocessing to ensure its accuracy and relevance.  數(shù)據(jù)收集和準備：負責從多個來源獲取數(shù)據(jù)，并對其進行預處理，以確保其準確性和相關性。
2.	Data Processing and Analysis: Using various technologies and tools, such as Kettle, SQL, DAX, and Power BI, to perform operations such as data extraction, transformation, loading, and model building and algorithm design.  數(shù)據(jù)處理和分析：使用各種技術和工具，如Kettle、SQL、DAX和Power BI等，對數(shù)據(jù)進行抽取、轉換、加載等操作，以及進行模型構建和算法設計。
3.	Reports and Visualization: Using tools such as SQL and Power BI to create attractive and easy-to-understand reports and charts. These reports present the analysis results to team members and decision makers, helping them better understand the implications of the data and make informed business decisions. 報告和可視化：使用SQL和Power BI等工具，創(chuàng)建具有吸引力和易于理解的報表和圖表。將數(shù)據(jù)分析結果呈現(xiàn)給團隊和決策者，幫助他們更好地理解數(shù)據(jù)的內(nèi)涵，從而做出明智的商業(yè)決策。
4.	Collaboration: Working closely with various teams within the company to understand business needs and goals. Sharing data and analysis results. 協(xié)作：與團隊緊密合作，了解業(yè)務需求和目標。共享數(shù)據(jù)和分析結果。
5.	Testing and Validation: Ensuring the accuracy and reliability of the analysis by testing and validating the data methods and results. 測試和驗證：確保分析的準確性和可靠性，對數(shù)據(jù)方法和結果進行測試和驗證。
6.	Data Security and Compliance: Ensuring Data Security and Compliance with Privacy Policies and Regulations. 數(shù)據(jù)安全和合規(guī)性：確保數(shù)據(jù)安全，遵守隱私政策和法規(guī)。

崗位要求：
1.	2+ Years’ Experience in a Data Analyst role; preferably in sales, marketing, or manufacturing.  Connector Manufacturing, Operations, Sales, or Marketing experience is desired. 2年以上數(shù)據(jù)分析師工作經(jīng)驗；***是銷售、市場營銷或制造領域。期望具有連接器制造、運營、銷售或市場營銷經(jīng)驗。
2.	Possessing a solid understanding of statistics and mathematics that enables advanced data analysis. 掌握統(tǒng)計學和數(shù)學相關理論，能運用理論知識進行高級別數(shù)據(jù)分析。
3.	Familiarity with data processing techniques such as ETL processes and visualization, able to independently perform data analysis and processing tasks. 熟悉數(shù)據(jù)ETL流程和可視化等數(shù)據(jù)處理，能夠獨立完成數(shù)據(jù)分析和處理工作。
4.	Proficient in tools such as Kettle, SQL, DAX, Power BI, capable of efficiently and accurately completing data processing, analysis, mining, and modeling tasks. 熟練使用Kettle、SQL、DAX、Power BI等工具進行數(shù)據(jù)處理、數(shù)據(jù)分析、數(shù)據(jù)挖掘和建模工作，能高效準確地完成數(shù)據(jù)分析和挖掘任務。
5.	Bachelor’s degree in business, Data Science, Natural Science, or Engineering is preferred.
優(yōu)先考慮具有商業(yè)、數(shù)據(jù)科學、自然科學或工程學士學位的候選人。
6.	Good ability for listening, speaking, reading and writing English.
良好的英語聽說讀寫能力為佳。