Lowongan Kerja Jakarta Raya Posisi Trading Data Analyst di Cargill

The Trading Data Analyst, will assist in the application of new models and globally integrated perspectives to generate strategic insights that will promote the company’s competitive position and ultimately grow trading earnings. In this role, you will be a consumer of data working across product lines and assist in the evaluation of new data sets and new sources of data and participate in the design and implementation of basic application programming interfaces and data access queries by providing requirements for models or visualizations.

• Deploy a basic understanding of the trading questions that data can help to solve.
• Validate quality and coverage of datasets while helping to prioritize and implement well defined data and analytical tool development efforts based on trading opportunity.
• Collaborate across regional and global teams to ensure we capture, centralize and use the most valuable data for analysis in a systematic, repeatable and accurate manner with oversite from supervisor and higher level analysts.
• Partner with and support other data analysts to validate quality and coverage of datasets.
• Assist to define and design scalable and integrated data systems and processes and focus on continuous improvement of analytical methods and tools with oversite from supervisor and higher level team members.
• Handle basic issues and problems under direct supervision, while escalating more complex issues to appropriate staff.
• Other duties as assigned

• Bachelor’s degree in a related field or equivalent experience
• Minimum of two years of experience with data or data warehousing systems
• Knowledge of agricultural trading business and an understanding of the information that adds value to trading
• Ability to understand business requirements and serve as a consultant to internal teams
• Ability to develop using coding languages such as Python and SQL
• Experience with AWS services with include Glue, Lambda, and Batch
• Experience with and understanding of relational and distributed data systems
• Experience using data visualization applications to develop and deploy insights and reporting
• Other minimum qualifications may apply

Preferred Qualifications

• Ability to develop queries using multiple programming languages
• Familiarity with scientific programming languages
• Familiarity with using relational databases or distributed file storage applications
• Understanding of commodity trading markets
• Familiarity with workflow tools such as KNIME and MS Flow