Amazon

Sr. Finops Analyst-AR, Quality Control Cash Application

Job Description

“Amazon is seeking an experienced candidate for a role in Global Quality Control function for Finance Operations. Major goal of the function is to identify risks in finance processes, report performance of the operations from a quality perspective. Apart from that this role would do a root cause analysis of the identified defects and partner with business to improve the Quality of service.

This position requires a proactive, highly motivated individual with a critical eye for detail, high customer obsession and aptitude for process improvement and ability to motivate and manage people.

Key job responsibilities
· Collaborate with leadership to drive improvement ideas generated through auditing
· Clearly articulate issues and ideas through verbal and written communication
· Maintain a full understanding of all processes, becoming a Subject Matter Expert for every process
· Address the issues reported and drive them to resolution by coaching Associates, engaging the Training team, and working with leadership
· Monitor and report Quality metrics, deep dive and identify trends/root causes.
· Liaise with internal and external teams to implement best practices and to drive performance improvements.
· Recommend, own and drive performance improvement areas.
· Drive through improvement initiatives until implementation.
· Support/consult with the necessary functions to ensure new policies/processes are successfully scoped and rolled out with measurable results against key metrics.
· Provide clear insight into performance drivers and the levers which impact performance.
· Implement and own action plans which drive performance improvements.
· Uses quality monitoring data management system to compile and track performance at team and individual level.
· Identify and champion process improvement ideas and enhancements to improve the productivity or quality of our process. 1. 3+ Years of Accounts Receivables and 1 years of quality control experience.
2. Knowledge of Six Sigma defect reduction techniques (Lean, etc.).
3. Knowledge of standard software including Excel, Access, Oracle, SQL and VBA skills.
4. Experience using data to influence business decisions.


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