[上海]前锦网络信息技术（上海）有限公司

职能类别:其他

主要职责:

Key deliverables are certain study projects, summarized into reports and presented to relevant teams; and data/database projects that have the results of improved efficiency in our data process.

50% S&D Analysis and Price Analytics Projects

• Work on fundamental study projects to understand specific S&D and order flow components and build short/long term forecasts.

• Learn from other analysts, commercial team, traders, customers, and other Cargill businesses for related business knowledge.

• Collect, verify, and consolidate data, and build statistical models to transform those knowledge into clear and concise insights (in the form of numbers, tables, and charts).

• Conduct studies to find relationships between S&D changes and market price movements.

• Summarize reports and present study results to traders and other analysts.

30% Data and Database Management

• Partner with other analysts and traders to understand how data is currently used, understand what data is relevant to their needs, and determine if data can be located that would improve their analytics, enhance their productivity, etc.

• Data collection, with the goal of automating the collection process systematically; there is still manual data input needed.

• Work with IT and global data analyst to make sure all data is stored properly locally or in global database, and easily accessed by who need it.

20% Support in Other Studies

• Support in other (routine) works of GTA China.

• Crop tours participation.

• Support other GTA analysts and GTA group projects.

Required Qualifications

• Master of Science in any subject; or Bachelor degree in Ag Economics, Economics, Statistics, or similar fields

• Rational mindset and strong analytical skills

• Statistical and data knowledge/experience

• Curiosity mindset

• Strong communication skills; ability to communicate complex verbal and written messages in a concise way

• Can deal with ambiguity, and have passion to figure things out in a positive way

Preferred Qualifications

• Master of Science in Ag Economics, Economics, Statistics, or similar fields

• Proven ability to work effectively both in a small integrated team

• Advanced statistical modelling skills or data skills

• Strong data management skills

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