1.參與業(yè)務(wù)部門數(shù)據(jù)分析需求的調(diào)研、分析及評估;
Participate in the investigation, analysis and evaluation of data analysis requirements of business department;
2.開發(fā)報告、儀表板和交互式可視化,并與數(shù)據(jù)倉庫、數(shù)據(jù)集成和數(shù)據(jù)建模合作;
Develop reports, dashboards, and interactive visualizations in collaboration with data warehousing, data integration, and data modeling;
3.識別每個應(yīng)用程序所需的最關(guān)鍵數(shù)據(jù),確定哪些業(yè)務(wù)流程需要集中式/全局治理,哪些業(yè)務(wù)流程需要區(qū)域或本地治理;
Identify the most critical data required for each application and determine which business processes require centralized/global governance and which require regional or local governance;
4.確定所需的信息治理策略和每個數(shù)據(jù)元素的目標(biāo);
Determine the required information governance policy and the target for each data element;
5.撰寫和提交報告,為重要的業(yè)務(wù)決策做出貢獻(xiàn);
Write and submit reports to contribute to important business decisions;
6.根據(jù)業(yè)務(wù)目標(biāo)建模系統(tǒng)架構(gòu),為業(yè)務(wù)問題創(chuàng)建可行的數(shù)據(jù)主導(dǎo)解決方案;
Modeling system architecture according to business objectives to create feasible data-led solutions to business problems;
7.創(chuàng)建和管理所有形式的業(yè)務(wù)信息模型,包括概念模型、關(guān)系數(shù)據(jù)庫設(shè)計和消息模型;
Create and manage all forms of business information models, including conceptual models, relational database design, and message models;
8.利用AI,機(jī)器學(xué)習(xí)等大數(shù)據(jù)分析手段進(jìn)行大數(shù)據(jù)項目的初步探索;
Use AI, machine learning and other big data analysis methods to carry out preliminary exploration of big data projects;
1.本科及以上學(xué)歷,四年以上IT領(lǐng)域經(jīng)驗;
Bachelor degree or above with at least 4 years experience in IT field
2.教育背景:計算機(jī)科學(xué)、信息管理、應(yīng)用數(shù)學(xué)、應(yīng)用統(tǒng)計或其他相關(guān)專業(yè) ;
Education: BS Computer Sciences, Information Management,Applied Mathematics,Applied Statistics or other related majors
3.雙語,普通話/英語,書面表達(dá)能力;
Good English and Chinese reading and writing skills
4.扎實的數(shù)學(xué)基礎(chǔ)、對數(shù)字敏感、具備良好的分析能力,有數(shù)據(jù)產(chǎn)品的構(gòu)建經(jīng)驗或數(shù)據(jù)報告編寫經(jīng)驗,能高效與相關(guān)團(tuán)隊進(jìn)行溝通;
能夠熟練運用pyspark對大量數(shù)據(jù)進(jìn)行離線、實時分析和數(shù)據(jù)挖掘。有使用過主流AI技術(shù)進(jìn)行數(shù)據(jù)分析的經(jīng)驗的優(yōu)先考慮;
Solid mathematical foundation, sensitive to Numbers, good analytical ability, data product construction experience or data report writing experience, able to effectively communicate with relevant teams;
5.熟練運用SQL,python,熟悉主流大數(shù)據(jù)庫技術(shù)(spark,hive,flink等),了解大數(shù)據(jù)相關(guān)技術(shù),并能熟練運用;
Proficient in using SQL, python, familiar with mainstream database technology, familiar with big data related technology and case use in job;
6.具有較強(qiáng)的業(yè)務(wù)洞察力和數(shù)據(jù)報告設(shè)計能力;
Strong business insight and data report design ability;
7.能夠掌握數(shù)據(jù)分析的基本原理與有效數(shù)據(jù)分析的方法,并能靈活運用;
Be able to master the basic principle of data analysis and effective data analysis methods, and be able to use them flexibly;
8.較強(qiáng)的需求分析、數(shù)據(jù)建模以及IT架構(gòu)設(shè)計能力,能夠完成單個業(yè)務(wù)領(lǐng)域的IT架構(gòu)設(shè)計工作,有大中型項目IT架構(gòu)、IT大數(shù)據(jù)方案設(shè)計方面的成功經(jīng)驗優(yōu)先;
Strong ability of requirement analysis, data modeling and IT architecture design, able to complete IT architecture design work in a single business field, having successful experience in IT big data architecture and IT scheme design of medium and large projects is preferred;
9.精通pandas,能夠利用pandas對數(shù)據(jù)進(jìn)行深入分析。
Proficient in pandas, capable of conducting in-depth analysis of data using pandas.