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Responsibility
1.Utilize and analyze the data created in manufacturing, perform data cleaning, visualization and analysis according to the need of Dept KPI and Operation KPI improvement.
Dept KPI include: Yield, Energy Consumption, Down Time, maintenance cost, etc;
Operation KPI include: Cost, On time Delivery, etc;
2.Continuously improve existing dashboard/use case of data analysis/visualization, in terms of stability, quality, efficiency, easy reading, user interface, etc;
3. Program the real time warning scripts requested by Process Engineers.
4. Analyze and summarize the manufacturing related data source issue, communicate with global IT and technology team, enhance the fixing of data related issues and keep follow up;
5. Internal training to the team related to data analysis and reading.
6. Response and support the data analysis & visualization request from other functions.
7. Standardize of data analysis and visualization method.
8. AI(Artificial Intelligence)tools application in Process & Maintenance Engineering related business.
9. Other affairs arranged by supervisor.
10. 負責(zé)部門的信息資產(chǎn)識別、風(fēng)險評估、風(fēng)險處置計劃，并定期更新。
11. 負責(zé)部門內(nèi)日常信息安全培訓(xùn)與宣導(dǎo),參與公司組織的信息安全內(nèi)審。
12. 統(tǒng)合負責(zé)部門數(shù)字化考勤
Work Experience
1.熟悉PowerBI操作,.能基于較復(fù)雜數(shù)據(jù)基于指標(biāo)需要獨立建立分析架構(gòu)；
2.熟悉Excel公式和透視表操作
3.能夠進行較為基礎(chǔ)的Python小程序編寫,熟悉基礎(chǔ)SQL語句用法;
4.Fluent English;
5. Data analysis experience in manufacturing organization.University graduate or above，Statistics/Math。