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職位描述：

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)；***是銷售、市場營銷或制造領(lǐng)域。期望具有連接器制造、運(yùn)營、銷售或市場營銷經(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.
良好的英語聽說讀寫能力為佳。

職位描述：

崗位職責(zé)：
1、基于業(yè)務(wù)目標(biāo)及商業(yè)模式，構(gòu)建全面、有效的指標(biāo)體系，并將相關(guān)指標(biāo)沉淀，形成公司級(jí)指標(biāo)庫。
2、通過商業(yè)專題分析，對(duì)業(yè)務(wù)問題進(jìn)行深入分析，為公司產(chǎn)品、用戶運(yùn)營策略提供數(shù)據(jù)支持和決策依據(jù)。
3、行業(yè)機(jī)會(huì)挖掘，對(duì)母嬰細(xì)分市場現(xiàn)狀及趨勢進(jìn)行評(píng)估與追蹤，幫助業(yè)務(wù)發(fā)現(xiàn)、驗(yàn)證行業(yè)機(jī)會(huì)點(diǎn)。
4、高效響應(yīng)支持公司級(jí)數(shù)據(jù)分析需求。

任職要求：
1）本科及以上學(xué)歷，統(tǒng)計(jì)、經(jīng)濟(jì)相關(guān)專業(yè)優(yōu)先，3-5年相關(guān)工作經(jīng)歷；
2）熟練運(yùn)用Excel、SQL（懂Python等語言的更佳），獨(dú)立高效地完成數(shù)據(jù)的提取及分析；
3）良好的數(shù)據(jù)敏感度，能從海量數(shù)據(jù)提煉核心結(jié)果，并用簡潔而清晰的方式呈現(xiàn)數(shù)據(jù)分析背后的商業(yè)邏輯，具備獨(dú)立編寫商業(yè)分析洞察報(bào)告的能力；
4）具備協(xié)同能力及團(tuán)隊(duì)合作精神，具備跨部門推動(dòng)協(xié)調(diào)資源的能力；
5）學(xué)習(xí)能力強(qiáng)，有良好的邏輯性和結(jié)構(gòu)性思維。