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Job Summary

  • Company

    Chinajob​

  • Location

    Guangzhou Guangdong, China​

  • Job Type

    Full Time

  • Salary Range

    20,000-30,000 RMB

  • Number to Recruit

    1

  • Job Reference Code

    J2600837

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E-commerce Operation

Guangzhou Guangdong, China

About Company:

Guangzhou Danxiao Information Technology Co., Ltd. is an Internet software and hardware consulting service company established in 2012. Since its inception, the company has been insisting on exploring at the forefront of technology, and has established a good in-depth cooperative relationship with avant-garde artificial intelligence bionic/VR application developers and 3D game developers at home and abroad, empowering foreign global well-known brands.

The company has maintained rapid growth in recent years and is a highly competitive R&D consulting company for domestic enterprises going overseas. The company has a complete salary and welfare system, national statutory holidays, social security, housing provident fund, employee travel and other welfare policies are all available!

We provide you with: 1. Flexible working hours and a warm working environment; 2. Provide lunch and dinner staff meals (the company subsidizes the bulk); 3. Free snacks and coffee replenishment; 4. Challenging job opportunities; perfect career Development plan; 5. Competitive salary system; annual salary adjustment opportunity. 6. A corporate culture of diversity, equality and trust; a flat management structure.

At present, the company has developed into a multicultural Internet company with more than 420 employees in Guangzhou, Shenzhen, Shanghai, Singapore, Spain and Hong Kong. They have different educational backgrounds, making the company a group of age convergence, knowledge matching, intelligence complementarity, and solidarity and cooperation. We sincerely invite you to join us to enrich our family!


Job Details:

Responsibilities:

• Develop and manage personalized recommendation/ optimization strategies and content roadmap for the e-commerce website based on analytical insights to directly improve Revenues, CVR, AOV, Repurchase Rate and LTV.

• Plan, execute and monitor site modules, widgets, and user flows to enhance visitor engagement and sales performance.

• Translate customer insights and team ideas into detailed business requirements, wireframes, and acceptance criteria for the Product Development team.

• Oversee the planning, creation, and optimization of Seasonal banners, pages and educational content (including but not limited to product pages, guides, articles and videos).

• Lead and manage the content lead and content manager ensuring brand consistency, quality, and timely delivery.

• Partner with Customer Insights Manager, Content Manager and Product Development team to visualize and analyze customer journeys using event data.

• Utilize data mining techniques and AI to uncover hidden patterns, trends, and business opportunities with BI team.

• Prepare data-driven plans and strategic recommendations to senior leadership and cross-functional teams on a weekly and monthly basis.

• Manage E-commerce related projects and deliver them on time working with cross-functional teams.

• Other tasks as assigned by your direct manager.


Qualifications:


• Bachelor's degree in Marketing, Business, Data Science, Computer Science, or a related field. A Master's degree is a plus.

• Minimum of 5 years of hands-on experience in marketing, operations, E-commerce and/or product management, with at least 1 year in a managerial role.

• Practical experience in developing and implementing product recommendation strategies using data analysis.

• Excellent project management skills with a demonstrated ability to manage multiple stakeholders and deliver projects on schedule.

• Experience working closely with BI teams and/or Data Analysts to transform insights into actionable business initiatives.

• Outstanding communication and presentation skills, with fluency in English.

• A proactive, agile learner who is adaptable and eager to take on new projects in a fast-paced environment utilizing data science, AI and the latest technology.

• Working knowledge of SQL is preferred.




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