数据分析实习生
招聘时间
即日起 至 2026-11-12
招聘单位
莱茵金属(中国)投资有限公司
所在地区
上海
工作地点
上海市/上海市/闵行区 上海市闵行区申贵路669号虹桥绿谷E栋3楼
学历要求
本科
实习时长
每周5天，每天3小时
职责描述
Job Description ( Responsibilities ):
1) Maintian intercompany PO(OC to PO)
2)Design, develop, and maintain interactive Power BI dashboards for key supply chain metrics.
3)Create comprehensive reports on Supplier Performance (e.g., On-Time Delivery).
4) Use Power Automate to improve working efficiency
Required Qualifications & Skills
• Bachelor’s degree or above, Data Analytics, Statistics, Information Technology, or a related field.
• Advanced proficiency in Microsoft Power BI: Demonstrable experience in data modeling, DAX, and creating interactive visualizations.
• Advanced proficiency in Microsoft Excel: Strong skills in formulas (e.g., VLOOKUP, XLOOKUP, INDEX/MATCH), PivotTables, Power Query, and charting.
• Advanced proficiency in Microsoft Automate.
Preferred Qualifications (Nice-to-Have)
• Experience with other data analysis tools (e.g., Python) is a plus.
• 5-Day at office will be a plus
Requirements:
1. Open, willing to learn
2. Bachelor or above
3. Power BI, Power Automate
1) Maintian intercompany PO(OC to PO)
2)Design, develop, and maintain interactive Power BI dashboards for key supply chain metrics.
3)Create comprehensive reports on Supplier Performance (e.g., On-Time Delivery).
4) Use Power Automate to improve working efficiency
Required Qualifications & Skills
• Bachelor’s degree or above, Data Analytics, Statistics, Information Technology, or a related field.
• Advanced proficiency in Microsoft Power BI: Demonstrable experience in data modeling, DAX, and creating interactive visualizations.
• Advanced proficiency in Microsoft Excel: Strong skills in formulas (e.g., VLOOKUP, XLOOKUP, INDEX/MATCH), PivotTables, Power Query, and charting.
• Advanced proficiency in Microsoft Automate.
Preferred Qualifications (Nice-to-Have)
• Experience with other data analysis tools (e.g., Python) is a plus.
• 5-Day at office will be a plus
Requirements:
1. Open, willing to learn
2. Bachelor or above
3. Power BI, Power Automate
