Data Engineer

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. Leverage technology and automate workflows creating modernized operational processes aligning with the team strategy. S&P Global Commodity Insights is seeking an experienced analyst/modeler who can both translate subject matter analyst expertise as well as develop new insights to the development of commodity-related models. This role will closely work with a team of Data Analysts, Data Scientists and Analytics customers to implement various analytical solutions and automate workflows. This role will be expected to lead projects, often coordinating and directing the efforts of more junior analysts. You will often have responsibility for projects from cradle to grave, developing or coordinating work from concept to implementation to turnover/retirement.