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 visualize 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 Overall 5+ years of experience with at least 3 years of work 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 Strong experience with data automation and Machine Learning Strong written and verbal communication skills in English Experience using SQL, complex Excel, Pyspark and Python.