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PayPal

Sr Analyst, Database Marketing

Posted 15 Days Ago
Be an Early Applicant
In-Office
Central Singapore
Senior level
In-Office
Central Singapore
Senior level
The role entails developing data frameworks, optimizing marketing strategies, and analyzing customer data to support sales teams in China. Key responsibilities include predictive analytics and data-driven campaign execution.
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:

This role sits within the China Database Marketing team and will be based in Singapore. The ultimate objective of this role is to generate cross-border merchant demand and deliver quality leads to support the corporate sales teams in China in exceeding their revenue goals. The role focuses on analyzing and translating business needs into long-term solution data models.

Job Description:

Essential Responsibilities:

  • Develop data frameworks and enrichment processes in collaboration with internal teams and vendors
  • Convert data insights into actionable business strategies and execute campaigns
  • Optimize campaign processes through automation and refinement
  • Collaborate with stakeholders to address business questions on marketing attribution, customer churn, and user behaviors
  • Identify data opportunities and perform descriptive and predictive analytics
  • Analyze customer data to provide actionable insights for marketing strategies.
  • Develop alternative solutions to enhance marketing effectiveness.
  • Partner with cross-functional teams to ensure data alignment with business goals

Minimum Qualifications:

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

Preferred Qualification:

1. Roles and Responsibilities

1.1Market Data Monitoring:

  • Responsible for the development and maintenance of market data monitoring across various categories in cross-border e-commerce
  • Monitor mainstream cross-border e-commerce platforms growth rate, Top vertical growth rate.

1.2 New Business Data Exploration:

  • Provide data mining support for emerging cross-border business verticals (such as AI, short dramas, etc.) based on the needs of the business team
  • Collect and process multi-sources of heterogeneous data, cleanse and integrate data to identify high-potential merchants for sales team

1.3 Business Related Model Building and Evaluation:

  • Participate in building predictive models and data analysis models for cross-border merchants
  • Train, validate, and optimize the models, and evaluate their performance and accuracy to ensure their effective application in cross-border business scenarios
  • Identify merchant opportunities and perform descriptive/predictive analytics as needed
  • Merchant churn & retention analysis and evaluation

1.4 Daily Campaign Routine:

  • Execute & deliver sales-oriented projects using SQL, Python, Notebook and Tableau
  • Work with internal teams and 3rd party vendors to develop data framework and enrichment process
  • Drive E2E campaign execution, process refinement and enhanced automation and optimization

2. Requirements

2.1 Competencies

  • Strong interest in cross-border business is a must. Highly curious and sensitive to the market trends and data of cross-border business, able to quickly understand the business background and requirements
  • Strong logical thinking and problem-solving skills, capable of extracting key information from complex data and solving practical problems.
  • Strong learning ability and self-motivated, able to continuously learn new data analysis techniques and methods to adapt to rapidly changing business needs.

2.2 Skill Requirements

  • Proficient in at least one data analysis tool, such as Python, R, SQL etc.
  • Familiar with common statistical methods and data mining algorithms, such as regression analysis, clustering analysis, and classification algorithms.

2.3 Experience Requirements

  • 5+ years of experience in B2B, lead generation or marketing analytics.
  • 5+ years of recent SQL experience with a deep understanding of structure and unstructured databases
  • 3+ years of hands-on experience with physical and relational data modelling. Expert knowledge of metadata management and related tools.

2.4 Educational Background

  • A bachelor's degree or above, with a preference for majors in statistics, mathematics, computer science, data science, information technology or related fields

2.5 Language Requirement

  • Fluent in both English and Chinese, both spoken and written is required as this role supports the China team.

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

Python
SQL
Tableau

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