Product Analytics, Post-Purchase
PayPal Inc.


Job Info


Who we are

Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal's 392 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom, enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.

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Job Description Summary:
Role - As the Post-purchase product analytics lead, you will:
•Spearhead the analytics function for the Post-purchase product team
•Become a domain expert in your product areas and conduct rigorous data analysis to help improve customer experiences and identify profitable growth opportunities
•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
•Present findings and recommendations to senior-level/non-technical stakeholders

Job Description:

Manager, Product Analytics, Post-Purchase

PayPal is already a trusted payment partner for millions of Consumers and Merchants around the globe, but we also have a unique opportunity to help them throughout the shopping journey, both online and offline. The PayPal Post-purchase team is passionate about saving Consumers and Merchants time and money after the payment happens. The acquisition of Happy Returns is only the beginning of our journey to create rich, innovative experiences that people can't imagine shopping without. 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 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 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
  • You are a fun-loving, adventurous team player

Role - As the Post-purchase product analytics lead, you will:
  • Spearhead the analytics function for the Post-purchase product team
  • Become a domain expert in your product areas and conduct rigorous data analysis to help improve customer experiences and identify profitable growth opportunities
  • 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
  • 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
  • 6+ 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 Looker or Tableau, and web analytics tools (e.g., Adobe Omniture, Google Analytics, Amplitude) preferred
  • Exceptional written and verbal communication skills to influence cross-functional teams
  • Experience/knowledge of employing statistical, data mining and machine learning algorithms (e.g., regression, clustering, isolation forest) on real world problems is a plus

Subsidiary:
PayPal

Travel Percent:
0

Primary Location:
San Jose, California, United States of America

Additional Locations:
Los Angeles - Olympic

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 paypalglobaltalentacquisition@paypal.com.


This job has expired.

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