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What you will do
1. Support Client IT teams with extraction of Data. Learn and Implement API basedData Extractor Utility2. Load data to Spend Data Builder, Consolidate different data sources to single viewand prepare a profile to review accuracy of collected data3. Perform Vendor Cleansing and Spend Classification to a Category Tree. Correct AIoutput and build AI model & Rules.4. Publish processed data to Spend Analytic tool and review for accuracy5. Draw takeaways and actionable insights to present to Client6. Train Client Users on Spend Analytics7. Support Engagement teams with QBR preparation8. Perform all Quality Check Steps, Ensure adoption of all Process steps & MaintainProcess documents What you should bring
• Knowledge of Advance Excel, MS Access and SQLpreferred• Knowledge of ERP, Accounts Payable Systems is preferred• Analytical, Problem Solving, Creative• Strong Team Player• Positive Attitude & Willingness to put that extra effort toexceed expectations• Fluent English Communication (Oral, Written andPresentation)



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