崗位職責(zé)：
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(zhǔn)備：負(fù)責(zé)從多個(gè)來(lái)源獲取數(shù)據(jù)，并對(duì)其進(jìn)行預(yù)處理，以確保其準(zhǔn)確性和相關(guān)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(shù)和工具，如Kettle、SQL、DAX和Power BI等，對(duì)數(shù)據(jù)進(jìn)行抽取、轉(zhuǎn)換、加載等操作，以及進(jìn)行模型構(gòu)建和算法設(shè)計(jì)。
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(bào)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(bào)表和圖表。將數(shù)據(jù)分析結(jié)果呈現(xiàn)給團(tuán)隊(duì)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(tuán)隊(duì)緊密合作，了解業(yè)務(wù)需求和目標(biāo)。共享數(shù)據(jù)和分析結(jié)果。
5. Testing and Validation: Ensuring the accuracy and reliability of the analysis by testing and validating the data methods and results. 測(cè)試和驗(yàn)證：確保分析的準(zhǔn)確性和可靠性，對(duì)數(shù)據(jù)方法和結(jié)果進(jìn)行測(cè)試和驗(yàn)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(yàn)；***是銷(xiāo)售、市場(chǎng)營(yíng)銷(xiāo)或制造領(lǐng)域。期望具有連接器制造、運(yùn)營(yíng)、銷(xiāo)售或市場(chǎng)營(yíng)銷(xiāo)經(jīng)驗(yàn)。
2. Possessing a solid understanding of statistics and mathematics that enables advanced data analysis. 掌握統(tǒng)計(jì)學(xué)和數(shù)學(xué)相關(guān)理論，能運(yùn)用理論知識(shí)進(jìn)行高級(jí)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(dú)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(jìn)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(zhǔn)確地完成數(shù)據(jù)分析和挖掘任務(wù)。
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(xué)、自然科學(xué)或工程學(xué)士學(xué)位的候選人。
6. Good ability for listening, speaking, reading and writing English.
良好的英語(yǔ)聽(tīng)說(shuō)讀寫(xiě)能力為佳。
工作地點(diǎn)
廣東省惠州市博羅縣石灣鎮(zhèn)黃西工業(yè)園申泰電子
一鍵掃碼
隨時(shí)溝通
