DirecciónAbout the Role:
10- Create commodity models, using predictive modelling and other statistical and econometric techniques.
- Understand, implement, manage and maintain analytical solutions & techniques independently.
- Collaborate and coordinate with data, content and product management teams and provide analytical assistance for various commodity datasets
- Execute with discipline and deliver appropriate documentation
- Work closely with various stakeholders to collect, clean, model and visualise datasets.
- Extract hidden value insights and enrich accuracy of the datasets.
- Leverage technology and automate workflows creating modernized operational processes aligning with the team strategy.
- Bachelor’s degree in Engineering, Mathematics, Economics, Computer Science, or related disciplines
- Fluent English (Conversational and written)
- Minimum of 3 years in similar role.
- Experience of working on end-to-end analytical modelling projects: problem scoping, data gathering, modelling, insights, visualizations, monitoring and maintenance
- Demonstrated ability to build constructive working relationships with various technology partners, stakeholders and other internal/ external users
- Experience with data automation and Machine Learning
- Strong written and verbal communication skills in English
- Experience using SQL, Excel and Python.
- Master’s degree, preferably in economics, engineering, or similar field.
- Experience working as an analyst in the commodity space.
- Experience building high quality solutions and leading processes in an Agile development environment
- PySpark, copilot, chatgpt, CI/CD,.
Job ID: 298133
Posted On: 2024-02-16
Location: Virtual, Mexico
