Sr. FinOps Specialist Accounts Payable

Recruiter
Amazon
Location
Aurangabad, Maharashtra, India
Salary
Competitive salary
Posted
22 Feb 2021
Closes
27 Feb 2021
Ref
1429688
DESCRIPTION
Amazon is seeking a data-driven Senior Finance Operations Specialist in Accounts Payable (Sr. FinOps Specialist Accounts Payable) to support Vendor Investigations and Transaction Accuracy (VITA) in Corporate Fraud Prevention. This individual will join the team responsible for ensuring Amazon's Finance Operations stays ahead of the risks around vendor fraud, erroneous payment detection and prevention, and root cause analysis. A successful candidate must have the ability to dive deep into vendor data using data mining tools such as SQL or Python, quickly derive patterns and assumptions from the data, fully investigate instances of potential fraud, and communicate findings to stakeholders using varied levels of detail based on the audience.

The selected individual must have outstanding data analysis and investigation skills, and problem-solving skills. The Corporate Vendor Fraud Prevention program is one of many fraud prevention programs in Finance Operations with the ultimate goal of preventing fraud, waste, and abuse across Amazon.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

BASIC QUALIFICATIONS
• Bachelor's Degree in a relevant field, such as Accounting, Computer Science, Operations, Business, Mathematics or Finance
• 5+ years of Finance, audit, fraud investigation or related experience
• Excellent interpersonal skills with the ability to communicate complex issues clearly to both internal and external customers
• 2+ years using data querying large datasets using SQL or Python
• 2 + years using data visualization tools such as Tableau or QuickSite
• Strong analytical skills with the ability to work independently while in a team environment
• Experience working in a high paced environment with a high degree of ambiguity

PREFERRED QUALIFICATIONS
• Professional certification (CPA, CIA, PMP, CFE)
• Experience working in a high paced environment with a high degree of ambiguity
• Excellent organizational and prioritization skills with the ability to handle multiple tasks simultaneously