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.

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

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 Monitor

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

1.3 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

1.4 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.

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 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.

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 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.

2.4 Educational Background

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