Introduction:

Our Business Analytics and Insights Team aims to enhance decision-making in our e-commerce operations through data analysis. As a Data Analytics Associate, you will contribute to transforming data into insights that inform our business strategies and support our position in the market.

Job Highlights:

1. Gain hands-on experience in data analytics within a dynamic, global environment.
2. Utilize advanced tools and techniques to drive insights in marketing, pricing, and customer management.
3. Develop predictive models using machine learning for business optimization.
4. Work in a supportive, balanced work-life environment with opportunities for continuous learning.

Key Responsibilities:

Join our team in Shenzhen and play a critical role in analyzing data to inform strategic decisions across marketing, pricing, and CRM. As a Data Analytics Associate, you will:

1. Perform in-depth data analysis using Excel, Python, and Large Language Models (LLMs) to uncover actionable insights for e-commerce operations.
2. Develop and maintain daily reports and dashboards for multiple e-commerce platforms (Amazon, Walmart, own digital channels).
3. Implement advanced statistical models and machine learning algorithms for predictive analytics, focusing on pricing, sales forecasting, and customer segmentation.
4. Assist in the development of AI-based modeling apparatus, focusing on data preparation and model evaluation.
5. Collaborate with the System Development Associate to ensure data quality and consistency across all systems.
6. Support the development and optimization of data-driven marketing and pricing strategies.
7. Contribute to the customization of the ERP/Information system, particularly in analytics functionalities.

Qualifications:

Essential Requirements:
1. Education:
- Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science with a focus on machine learning, Economics with a strong quantitative focus, or Business Analytics.

2. Experience:
- Minimum 2 years of experience in data analysis with a focus on e-commerce analytics.
- Hands-on experience in implementing predictive models.
- Experience with e-commerce analytics, preferably on platforms like Amazon and Walmart.

3. Technical Skills:
- Strong proficiency in Python for data analytics, including libraries such as pandas and NumPy.
- Experience with Python for information processing and data manipulation.
- Strong skills in statistical analysis and machine learning.
- Proficiency in data visualization tools and techniques for effective reporting.
- Familiarity with API integrations and data pipeline development.

4. Soft Skills:
- Results-driven attitude with a "can-do" mindset.
- Ability to multitask and work independently in a dynamic environment.
- Strong commitment to teamwork, continuous growth, and the highest standards of integrity.

5. Language Skills:
- Minimum English requirement of CET 6.
- Proficient in Mandarin.

Preferred Qualifications:

1. Knowledge of Python-based machine learning libraries (e.g., scikit-learn).
2. Proficiency in Cantonese.

Compensation and Benefits:

1. Competitive monthly salary: CNY 7,000 to 12,000, including meal allowances and performance pay.
2. 13-month pay structure: An additional month of base salary payable upon completing a full calendar year.
3. Performance-driven annual bonus: Additional compensation based on individual and company performance.
4. Statutory benefits: Contributions to mandatory social security and housing fund from the start of employment.
5. Additional insurance: Supplementary medical and personal accident insurance from day one.
6. Flexible scheduling with a five-day work week and options for remote work as needed.
7. Generous leave policy: 10 days of paid annual leave, 1 day of paid birthday leave, and statutory holidays.
8. Regular team outings, including movie nights, sports events, and other team-building activities.

We are committed to fostering a collaborative and data-centric workplace where each team member can thrive. As a Data Analytics Associate, you will be at the heart of our data-driven decision-making process, contributing directly to our company's success. Join us and apply your analytical skills in a nurturing, innovative environment that values continuous learning and professional growth.

Take the next step in your career. Apply today and become an integral part of a company that leverages data to drive e-commerce excellence. Your insights will shape our strategies and contribute to our global success. Let's unlock the power of data together!