Sr. Manager, Product Analytics, Giving

At PayPal, we continue to push the boundary of what technology can do to make a difference in the world we live in. We believe that now is the time to reimagine money, to democratize financial services so that managing and moving money is a right for all citizens, not just the affluent. For that, we are seeking exceptional world-class problem solvers with a passion for data insights and relentless focus on execution.

About You:

• You are passionate about social impact and enthusiastic about the opportunity to further financial inclusion and charitable giving
• You are curious and inquisitive: love digging into data and uncovering insights
• You are hyper-analytical and intellectually honest, truly believing in data-driven decisions and communicating your ideas through storytelling
• You enjoy presenting insights to leadership to enable data-driven decisions for Giving & Social Innovation
• You are familiar with data science and machine learning techniques to improve product experiences
• You are a highly motivated, result-oriented self-starter, enjoy working in a fast-pace environment, and can deliver successful results with minimal guidance

Role – As the Giving product analytics team lead, you will:

• Become a domain expert in Giving and Social Innovation product analytics; conduct rigorous data analysis to help improve customer experiences and non-profit fundraising activities
• Work cross-functionally with product, engineering, design, and marketing teams to build world-class products and design hypothesis-driven experiments; make clear, coherent and holistic recommendations based on test results
• Improve product experiences for 300+ million customers using data science techniques
• Leverage the Objective & Key Results (OKR) framework to identify product metrics and monitor product performance through dashboards and ad hoc analysis
• Manage a small team of analysts/data scientists
• Present findings and recommendations to senior-level/non-technical stakeholders

Requirements:

• Data driven mindset with degree in a quantitative discipline such as Computer Science, Statistics, Engineering, Mathematics, or Economics
• 7+ years of relevant work experience in analyzing large, multi-dimensional data sets and synthesizing data insights into actionable recommendations
• Fluent in SQL and Excel; experience with a statistical programming language (e.g., Python, R)
• Experience with visualization tools such as Tableau or Qlikview, and web analytics tools (e.g., Adobe Omniture, Google Analytics) preferred
• Exceptional written and verbal communication skills to influence cross-functional teams
• Prior work experience in, or a passion to become an expert in Giving/Social Innovation/Non-Profits
• Experience/knowledge of employing statistical, data mining and machine learning algorithms (e.g., regression, clustering, isolation forest) on real world problems is a plus
• Bi-lingual English/Spanish is a plus

We're a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect. Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment. Join us as we change the way the world defines financial freedom.

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected].

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