A/B Testing, Analysis Skills, Computer Science, Data Analysis, Data Science, Data Visualization Tools, Establish Priorities, Internet Security, Mathematics, Metrics, Needs Assessment, Performance Analysis, Product Pricing, Python Programming/Scripting Language, Quality Assurance Methodology, Requirements Management, SQL (Structured Query Language), Sales, Statistics, Team Player, Technical Leadership, Web Analytics, eCommerce
About the team:
Global e-commerce is a content e-commerce business with international short video product as the carrier. It is committed to becoming the first choice for users to discover and purchase good products with affordable prices. Global e-commerce business team hopes to provide users with more tailored and efficient consumption experience, enabling merchants to receive consistent and reliable platform services in different scenarios such as live e-commerce, short video content e-commerce, so as to make more affordable and high-quality products sell easily and a better life within reach.
Responsibilities:
- Build out reporting to track product performance using data visualization tools.
- Bring strong desire to learn in a fast-paced environment while collaborating with business stakeholders and technical leads.
- Exercise a high level of empathy in order to help the business identify and prioritize data needs and define proper metrics to measure initiative success.
- Use data to bring actionable insights that will help teams execute on their long-term strategy and inform them how well theyre performing at their goals.
Minimum Qualifications:
- Bachelors degree or above in computer science, statistics, math, internet security or other relevant majors.
- 5 years of work experience in data analytics/science or other relevant fields.
- Solid analytical skills.
- Proficiency in statistical analytical tools, such as SQL and Python.
Preferred Qualifications:
- Familiarity with social/content online platform analytics, especially metrics design, product feature analytics and A/B testing methodologies.
- Bonus given to proficiency in data mining skills e.g. modern machine applications.
- Ability to think critically, objectively, rationally.
- Reason and communicate in a result-oriented, data-driven manner.