Sales Ops Intern
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Before you apply
LocationShenzhen, CHN
Typefull-time
SeniorityEntry
DepartmentSales, Advertising, & Account Management
Company size10,000+ people
PostedOct 20, 2026 · 2w ago
Verified live10h ago
At a glanceSummarised by Seekless from the posting.
Experience with data analysis tools such as Advanced Excel, SQL, Tableau, Python
Demonstrated ability to work with large datasets, including data extraction, cleaning, and validation
Analytical mindset with strong attention to detail and the ability to identify patterns in data
Ability to present data findings in a clear and structured manner
Self-motivated, fast learner with the ability to manage multiple tasks in a fast-paced environment
Skills
Advanced Excel
SQL
Tableau
Python
About the company
Amazon strives to be Earth’s most customer-centric company where people can find and discover virtually anything they want to buy online. To serve the goal, Amazon has created one of the most advanced fulfillment and logistic networks in the world.
Amazon Global Logistics in China is a team of highly experienced logistics professionals, product & program manager and carrier specialists actively participating in Amazon’s international expansion goals. We are seeking some highly motivated individuals who are interested in improving the way products are bought, sold, and distributed on a global scale to join us in China.
Responsibilities
Key job responsibilities
1.
Collect and consolidate feedback from the CN&OS Sales team on credit and pricing matters on a monthly basis, in alignment with the Credit/Pricing Assessment Cycle.
2.
Prepare, publish, and maintain Ocean and Air Rate Cards across AGL seller-facing channels, ensuring the version control, archiving, and documentation.
3.
Support on the data accuracy validation of Rate Cards to ensure data integrity and consistency across published versions.
4.
Support on projects and other ad-hoc operational tasks as required.
Basic qualifications
•
Experience with data analysis tools such as Advanced Excel, SQL, Tableau, Python
•
Demonstrated ability to work with large datasets, including data extraction, cleaning, and validation.
Preferred qualifications
•
Analytical mindset with strong attention to detail and the ability to identify patterns in data.
•
Ability to present data findings in a clear and structured manner
•
Self-motivated, fast learner with the ability to manage multiple tasks in a fast-paced environment.
Legal
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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