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Your day to day
In your day-to-day role you will:
Support and understand initiatives to reduce TE. Identify and set target KPI’s, define test/control, support launch measurements and provide post launch monitoring support.
Be the business partner and thought leader for Payments by providing deep business insights; support them during initiative ideation, scoping, launch and monitoring.
Constantly and rigorously ideate with the focus on reducing Transaction Expense for PayPal
Effectively communicate product / initiative performance to leadership across finance & payments organization.
Solve ambiguous problems while maintaining a strong focus on end-to-end delivery.
Analyze expense trends & their drivers, compare with targets and present the analysis to leadership.
As a subject matter expert, support the broader company by providing insights about transaction expense and facilitate decision making across various functions.
What do you need to bring-
Minimum 4 years of relevant work experience in a related field/industry is preferred
Sharp analytical skills and attention to detail—ability to dig into large amount of data and insights and distill actionable findings.
Superior communication skills—written and verbal; and ability to design and deliver material for executive audiences.
Strategic and analytical thinker with ability to put complex ideas into clear frameworks.
Ability to work with and navigate cross-functional and global teams.
Self-starter who enjoys working in a dynamic, collaborative, and innovative environment
Appetite to learn and adapt quickly and comfortable with uncertainty.
Strong interest and experience in payment processing ecosystem.
Strong organization and operational skills and a technical acumen.
Bachelor's degree in Mathematics, Computer Science, Statistics, Operations Research, Finance, Economics or related quantitative discipline;
Experience with data aggregation using SQL (Teradata, MySQL or PHP), flat file or json payload handling through programmatic code, database experience is preferred
Fluent in Excel or ability to learn quickly on the job; experience with a statistical programming language (e.g., R, Python, Statistical Modelling) preferred
Prior experience in visualization tools such as Tableau and/or QlikView preferred
Our Benefits:
Any general requests for consideration of your skills, please
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