PayPal’s mission is to be the world’s favorite way to pay and be paid. With more than 80 million active accounts in 190 countries and 19 currencies, and payment volume in excess of $70B per year, PayPal is the clear leader in global online payments.
PayPal has formed a new Business Analytics team to deliver high-impact, data-driven business insights, recommendations and metrics to PayPal’s executive team. This team reports into the Vice President of Customer Advocacy & Operational Excellence and typically works on projects sponsored by PayPal’s President and his direct reports.
The team’s goal is to help maximize the growth and value of the PayPal business through rigorous and intelligent applications of data and analytics. We closely collaborate and drive for alignment with executive decision-makers, Strategy, Finance, the Information Management and Delivery group, and analytical teams throughout the company.
We are currently seeking a smart and energetic Analyst to join the team.
Your responsibilities will include: Execute zero-defect analysis as part of strategic business projects Extract and analyze large data sets with multiple dimensions reflecting PayPal’s complex business Develop an understanding of the business, and use this context to guide your work Effectively communicate methodology and results to team and cross functional groups
Job Qualifications
Intellectual curiosity and drive Self-motivation and ability to work independently Willingness to request help and input when needed Strong attention to detail with the discipline to check own work throughout the process to ensure accurate results Mental flexibility and logical thinking A passion for creative problem-solving and comfort with ambiguity High energy, strong work ethic, willingness to do “whatever it takes” to get to the results Team player attitude, partnering, and collaboration skills Technical requirements Experience with at least one programming language (e.g. Java, C, MATLAB, C++) required, experience with SQL a strong plus Experience with Excel and PowerPoint a plus Experience with statistical packages (e.g. R, SPSS, SAS) a plus Education / work experience requirements Significant quantitative course work such as Statistics, Econometrics, Engineering, Operations Research, Computer Science, and/or Mathematics required Demonstrated track record as a top performer Please submit your GPA and SAT/GRE scores along with your resume