Data Analyst-Cross border marketing focus

1. Roles and Responsibilities

1.1 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

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 re