Description
:
Essential Responsibilities:
Develop data frameworks and enrichment processes in collaboration with internal teams and vendorsConvert data insights into actionable business strategies and execute campaignsOptimize campaign processes through automation and refinementCollaborate with stakeholders to address business questions on marketing attribution, customer churn, and user behaviorsIdentify data opportunities and perform descriptive and predictive analyticsAnalyze 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 goalsMinimum 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-commerceMonitor 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 teamCollect and process multi-sources of heterogeneous data, cleanse and integrate data to identify high-potential merchants for sales team1.3 Business Related Model Building and Evaluation:
Participate in building predictive models and data analysis models for cross-border merchantsTrain, validate, and optimize the models, and evaluate their performance and accuracy to ensure their effective application in cross-border business scenariosIdentify merchant opportunities and perform descriptive/predictive analytics as neededMerchant churn & retention analysis and evaluation1.4 Daily Campaign Routine:
Execute & deliver sales-oriented projects using SQL, Python, Notebook and TableauWork with internal teams and 3rd party vendors to develop data framework and enrichment processDrive E2E campaign execution, process refinement and enhanced automation and optimization2.
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 requirementsStrong 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 databases3+ 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 fields2.5 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
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