Identify key business levers, establish cause and effect, perform analyses, and communicate key findings to various stakeholders to facilitate data-driven decision making. Identify new opportunities to grow and optimize the business through analytics, financial modeling, and business case development. Dissect large quantities of data using SQL and Excel, apply statistical programming languages like R, Python, and visualize content through reporting tools. Translate complex concepts into layman’s terms and influence both peers and senior leadership. Use statistical programming language to derive quantitative insights which will facilitate data-driven decision making across the organization. Telecommuting permitted – work may be performed from anywhere in the US.
Master’s degree, or foreign equivalent, in Computer Science, Information Systems, Business Analytics or a closely related field plus two years of experience in the job offered or a related occupation.
1) SQL
2) Python
3) Excel
4) PowerPoint
5) Machine Learning techniques
6) Consumer forecasting analytics
7) Quantitative and qualitative assessment on model output
8) Data manipulation and analytics
EOE, including disability/vets.
Base salary: $148,699-204,600 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.
PayPal is committed to fair and equitable compensation practices. The total compensation for this position includes standard company benefits and is based on various factors including but not limited to relevant skills and experience. Your recruiter can share more information about our total compensation package during the hiring process.
Must be legally authorized to work in the U.S. without sponsorship.
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For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
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