Description

　　Amazon is seeking a data-driven Risk Specialist to support the Vendor Investigations and Transactions Accuracy team in Accounts Payable. We are looking for a good leader that will take ownership and drive change in a dynamic global business environment using data analytic techniques that allow leaders to organize and review large amounts of data quickly. This individual will ensure Amazon's Finance Operations processes stay ahead of risks in the vendor payments area, including internal control effectiveness, erroneous payment detection and prevention, and vendor risk analysis through a culture of continuous inspection of processes, systems, and key business initiatives.

　　This individual must be eager to dive deep into processes and have a record of delivering process efficiency results. The preferred candidate will have good data analysis and auditing skills, problem solving skills, systems and process knowledge, and customer service passion.

　　We are open to hiring candidates to work out of one of the following locations:

　　Hyderabad, TS, IND

　　Basic Qualifications

　　· Post graduate degree in finance and/or professional qualification like Chartered Accountant/Certified Public Accountant.

　　· Minimum of 5+ years of relevant professional experience in accounts payable, invoice processing, procurement, vendor support or supply chain

　　· Data analysis in Excel with at least one visualization tool such as Tabluea or QuickSite

　　Preferred Qualifications

　　· Work experience in public accounting or internal audit or external audits and SOX compliance practice. Prior forensic experience or CFE would be an added advantage

　　· Good to work as a team player in a fast-paced, dynamic environment

　　· Good organizational and prioritization skills with the good in handling multiple tasks simultaneously

　　· Good leadership and analytical skills, and good to work independently and in a team environment

　　· Good interpersonal skills, including persuasive written and oral communication skills

　　· Good forensic data analysis skills with experience writing SQL and using Tableau or QuickSite for visualization