Data Analyst-Cross border market

Key Skills

B2B, Data Analysis, Data science techniques, Data Warehousing, ETL frameworks, Python Programming, R Programming

Job Description

 Roles and Responsibilities

Market 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.

• Conduct qualitative and quantitative analysis by matching market data with internal data to identify business growth opportunities

 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 Monitor

• Collect and process multi-sources of heterogeneous data, cleanse and integrate data to identify high-potential merchants for sales team

 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

 A/B test design and analysis: 

• Responsible for the design and analysis of various A/B tests within the business, evaluation of campaign optimization effectiveness, analysis and assessment of operational strategies or marketing activities

 Requirements

 Competencies

• Strong interest in cross-border business is a must. Highly curious and sensitive to the market trends and data of overseas 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.

 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.

 Experience Requirements

• 5 years or more of relevant work experience in data analysis. Experience in data analysis in cross-border or B2B business is preferred.

Candidates familiar with data warehouse architecture and ETL processes are preferred.

 Educational Background

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

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:

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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 talentaccommodations@paypal.com.