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PayPal

Sr Analyst, Data Analytics

Posted 7 Hours Ago
Be an Early Applicant
In-Office
2 Locations
Senior level
In-Office
2 Locations
Senior level
Analyze complex data sets, deliver actionable recommendations, ensure data accuracy, and present findings to senior leadership.
The summary above was generated by AI

The Company

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. 

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. 

Our beliefs are the foundation for how we conduct business every day.  We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Summary:

In this role, you will be responsible for executing on complex, ambiguous, and high-visibility business challenges. You will leverage data and analytics to deliver accurate, action-driving recommendations to support the very seasoned sales teams that service large enterprise merchants with significant footprints in North America and Globally. This is an individual contributor role with significant potential for career growth.

Job Description:

Essential Responsibilities:

  • Analyze complex data sets to provide insights.
  • Collaborate with stakeholders to understand their data needs.
  • Deliver actionable recommendations based on data analysis.
  • Ensure data accuracy and integrity in all analysis processes.
  • Present findings to senior leadership.
  • Drive continuous improvement in data analysis practices.

Minimum Qualifications:

  • Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

Preferred Qualification:

Academic Qualification: 

  • Undergraduate degree in a quantitative (such as Applied Mathematics, Statistics, Engineering or Computer Science) field required and 5+ years related professional experience or Graduate degree in a quantitative field and 3 + years of professional experience 

Must-have skills: 

  • Proficiency in languages used for querying (e.g. SQL/Hive/Pig), preprocessing (e.g. Unix/Python), and statistical analysis (e.g. Python/R) 

  • Strong data visualization skills with tools such as Tableau and Looker with a lot of attention to granular details in data 

  • Good verbal and written communication skills to express data science concepts and solutions to business partners of varying technical levels and other members of the broader analytics and data science community at PayPal, to influence and negotiate to reach alignment on how to execute strategies and improve solutions. 

Nice-to-have: 

  • Experience with machine learning algorithms and statistical methods 

  • Knowledge about Digital Marketing, AdTech, MarTech, E-commerce, FinTech, Finance and Payments industries is a strong plus 

Subsidiary:

PayPal

Travel Percent:

0

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.

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.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com.

Who We Are:

Click Here to learn more about our culture and community.

Commitment to Diversity and Inclusion 

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].  

Belonging at PayPal: 

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please Join our Talent Community.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

Top Skills

Sql,Hive,Pig,Unix,Python,R,Tableau,Looker

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