【工作内容】
- 负责收集、处理和执行数据分析，以支持业务决策。
- 设计和开发数据模型、算法和仪表板，以便更好地理解和解释数据。
- 与跨职能团队合作，理解业务需求，并提供基于数据的洞察和建议。
- 确保数据的质量和准确性，对数据进行清洗和预处理。
- 使用统计分析和数据挖掘技术，发现数据中的模式和趋势。
- 定期生成报告，向非技术人员解释复杂的数据概念。
【任职要求】
- 对数据敏感，有强烈的好奇心和探索精神。
- 具备良好的逻辑思维能力和问题解决能力。
- 良好的沟通技巧，能够将复杂的概念转化为易于理解的语言。
- 熟练掌握SQL，Python或R等编程语言中的一种或多种。
- 熟悉数据分析工具，如Tableau，Power BI等。
- 有统计学、数学、计算机科学等相关专业背景优先，但工作经验不限。
- 英语听说读写流利者优先。
Our Company
Established in 2000, Shanghai Hirano Environmental Technology Co.,Ltd. is a high-tech conglomerate integrating R&D, manufacturing and trade at the municipal level in Shanghai. Shanghai Hirano adopts the classical TPS methodology and is committed to the manufacturing and sale of high-quality components and products.The group has two product lines: precision mould, plastic component and finished product assembly; environment-friendly clean power systems including lithium-ion batteries and multi-purpose chargers for electric vehicles such as forklift. The footprint of Hirano components and products can be found in Fortune 500 enterprises including Toyota Motor, Mitsubishi, Komatsu Kenki. Hirano is in long-term partnership with many Japanese companies and research institutes including CASC and is the most credible and widely acclaimed corporation for its reliable technologies and cutting-edge design.
The Opportunity
As a Supply Chain Data Analysis Intern, you will assist our supply chain management team in collecting, cleaning, and analyzing data related to procurement, inventory, and logistics. This role is ideal for students interested in data-driven operations within a manufacturing environment, offering both hands-on experience and mentorship. Your key responsibilities are:
85Collect and organize procurement and inbound logistics data, and analyze material lead times and delivery performance;
85Assist in generating reports on supplier performance, stockout rates, and inventory variations;
85Build dashboards and visualizations using Excel, Python, or Tableau;
85Collaborate with the warehouse team to analyze inventory turnover and slow-moving stock trends;
85Support historical data cleaning and standardization for system records.
Requirements
85Currently enrolled in a Bachelor's or Master’s program. Majors in Supply Chain Management, Logistics, Information Systems, Statistics, or Data Science preferred;
85Proficient in Excel; experience with Python, SQL, or data visualization tools is a plus;
85Strong analytical thinking, communication skills, and team spirit;
85Able to work 4–5 days a week for no less than 5 weeks.