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1.參與公司數(shù)據(jù)項目數(shù)據(jù)探索、分析洞察、挖掘建模，負責(zé)方案設(shè)計和落地，從數(shù)據(jù)分析和數(shù)據(jù)挖掘角度為業(yè)務(wù)改進和提升提供建議； Participated in data exploration, analysis and insight, mining and modeling of company data projects, responsible for scheme design and implementation, and provided suggestions for business improvement and promotion from the perspective of data analysis and data mining; 2.構(gòu)建數(shù)據(jù)產(chǎn)品，負責(zé)各類數(shù)據(jù)報告的開發(fā)、應(yīng)用、監(jiān)控優(yōu)化，保證數(shù)據(jù)產(chǎn)品的實用性及可衡量性，支撐公司業(yè)務(wù)發(fā)展和決策； Build data products, responsible for the development, application, monitoring and optimization of various data reports, ensure the practicability and scalability of data products, and support the company's business development and decision-making; 3.開展數(shù)據(jù)挖掘分析算法、工具研究工作，研發(fā)創(chuàng)新方法解決業(yè)務(wù)問題； Carry out research on data mining and analysis algorithms and tools, and develop innovative methods to solve business problems; 4.與業(yè)務(wù)用戶合作，成為數(shù)據(jù)專家，知道如何使用數(shù)據(jù)以及有哪些數(shù)據(jù)管道； Work with business users to become data experts and know how to use data and what data pipelines are available; 5.對用戶進行數(shù)據(jù)工程方面的培訓(xùn)，確保用戶能夠獨立完成需求調(diào)查； Conduct data engineering training for users to ensure that users can independently complete the demand survey; 6.幫助數(shù)據(jù)分析人員準備數(shù)據(jù)和開發(fā)端到端數(shù)據(jù)管道； Help data analysts prepare data and develop end-to-end data pipelines; 7.負責(zé)簡化整個企業(yè)的數(shù)據(jù)管道，協(xié)助初始數(shù)據(jù)探索步驟； Responsible for simplifying the data pipeline of the whole enterprise and assisting in the initial data exploration steps; 8.協(xié)助編程、建模和數(shù)據(jù)集成，支持任務(wù)自動化； Assist in programming, modeling and data integration, support task automation; 9.支持協(xié)助數(shù)據(jù)建立和執(zhí)行及數(shù)據(jù)收集、集成和流程的執(zhí)行； Support and assist in data creation and execution and data collection, integration and process execution; 1.本科及以上學(xué)歷，三年以上IT領(lǐng)域經(jīng)驗 Bachelor degree or above with at least 3 years experience in IT field 2.教育背景:計算機科學(xué)、統(tǒng)計數(shù)學(xué)或其他相關(guān)專業(yè) Education: BS Computer Sciences, statistics, mathematics or other related majors 3.雙語，普通話/英語，書面表達能力 Good English and Chinese reading and writing skills 4.熟悉制造行業(yè)的業(yè)務(wù)發(fā)展與知識，公司業(yè)務(wù)及產(chǎn)品流程并有自己獨特的見解，能迅速根據(jù)具體的業(yè)務(wù)發(fā)展與數(shù)據(jù)情況建立業(yè)務(wù)數(shù)據(jù)分析模型 Familiar with the business development and knowledge of the manufacturing industry, the company's business and product processes and have their own unique insights, can quickly establish business data analysis model based on specific business development and data situation。 5.熟悉MES,ERP,BPM系統(tǒng)知識與業(yè)務(wù)流程的人員優(yōu)先 Familiar with MES,ERP,BPM system knowledge and business process is preferred