Responsibilities:

•  Support sales engagements with data-driven discovery by performing analysis on spend data provided by customers and delivering meaningful insights for how customers can realize measurable business value with Coupa.
• Support Value Preview activities for Coupa’s AI Classification solution by structuring data sets and classifying categories for spend data provided by prospects
• Perform savings opportunity analysis for prospects during sales engagements for the Coupa Advantage program
• Estimate which of our prospects’ suppliers are already transacting through the Coupa platform and/or through the MasterCard Network by performing supplier match analysis during sales engagements
• Support Coupa Pay business cases with data-driven discovery analysis
• Support customer success management engagements by performing analysis on customers’ spend data through Coupa and outside of Coupa
• Help build and manage knowledge bases and data sets used by the Business Value Engineering Team by cleaning and classifying customer spend data
• Send data requests templates to prospects and customers and maintain deal queue tracking tool

Requirements:

• 0-2 years of work experience
• Basic knowledge with Microsoft Office (Excel, Word, Powerpoint)
• Basic data analysis skills such as understanding of statistics, understanding how to investigate the relationship between variables, identifying trends and correlations in data, and ability to determine the appropriate charts/graphs that provide meaningful insights.
• Excellent verbal and written communication skills including ability to structure ideas and conversations to effectively present findings from research and analysis.
• Must demonstrate intellectual curiosity with a proactive, problem-solving mindset.
• Must demonstrate organized, structured thinking and ability to work to tight deadlines and prioritise workload to achieve required timescales.
• Bachelor’s degree from an accredited university in finance, accounting, engineering, information management, data science, or economics.