Business Analyst Intern (2026)
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Monthly Salary:
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
请注意申请此实习岗位需要满足如下条件
毕业时间26年11月至27年9月之间毕业
实习时间2026年开始一周实习4-5天持续6个月
工作地点深圳市南山区
简历要求请提供中英双语简历放在一个文件中
投递须知
1 填写简历申请时请把必填和非必填项都填写完整提交简历之后就无法修改了哦
2 学校的英文全称请准确填写
Amazon Private Brands aims to offer customers a wide selection of low-priced products with good quality. HPB sourcing team strives to deliver value products by selecting the best-in-class suppliers track and improve supplier performance and protect customer by proactive defect avoidance. We are looking for customer-obsessed interns to lead initiatives that further develop workflow automation improve datamining and visualization. Internship will locate in Nanshan Shenzhen.
The successful candidate will enjoy diving deep into data and identifying insights as well as have a curious mind on engineering manufacturing quality control methodologies and continuous improvement. You will work closely with the Product Quality Engineering team to analyze product defects implement quality improvement programs and develop knowledge bases for various product categories. The ideal candidate will thrive in a highly collaborative analytical creative and fast-paced international environment. The ideal candidate must be self-driven and have the analytical horsepower to break down complex problems and a strong will to get things done and deliver results. Finally the candidate must also be a strong communicator with the ability to communicate concisely and effectively.
What will you gain:
Gain manufacturing industry and factory management knowledge;
Learn Product Quality Engineering principles and quality assurance methodologies understand the complete product quality lifecycle from sample design review to batch testing;
Apply your learnings in business environment sharpening analytical and coding skills;
Gain hands-on experience with quality improvement programs and defect prevention strategies;
Gain experience in a fast-paced entrepreneurial working environment;
Work with a diverse team with professionals from over 10 different countries and various industries;
Boost you resume with real world experience.
Deliverables
Conduct in-depth Product related data analysis to support business needs and quality improvement initiatives;
Design and implement data models based on excel templates defining objects and attributes for quality metrics tracking;
Support Quality LLM use case studies;
Analyze product defects and quality trends across various product types to identify improvement opportunities;
Support the development and maintenance of product quality knowledge bases;
Track and analyze OTRR (On-Time-Rosolve-Rate) metrics and assist in monitoring testing protocols and sample management processes.
Key job responsibilities
Learn Amazon Data infrastructure and tools extract and integrate data from Datawarehouse for holistic analysis;
Work with cross function stakeholders provide data supports business updates and solutions;
Support quality assurance processes/testings and contribute to continuous improvement initiatives.
- Speak write and read fluently in English
- Speak write and read fluently in Mandarin
- Graduate between Nov 2026 to Sept 2027 currently working towards a Bachelors (BS) or Masters (MS) in Engineering Computer Science Data Science Business Analytics Information Management Mathematics or similar;
- Proficient in SQL for data querying analysis and manipulation across large datasets
- Knowledge of Python and experience using AI coding assistants (e.g. Claude Code Cursor Cline GitHub Copilot Q) to generate understand and debug code
- Strong prompt engineering skills with experience using LLM tools (ChatGPT Claude or similar)
- High attention to detail comfortable with hands-on task management and proven ability to manage multiple competing priorities
- Work 4 to 5 days per week for at least 6 months physically in Shenzhen
- Prior internship experience in business analytics AI/ML projects software development or data engineering
- Experience with AI agent frameworks workflow automation tools or MCP (Model Context Protocol)
- Familiarity with AWS services (Bedrock S3 Lambda Redshift Glue)
- Experience with data visualization and dashboard development (e.g. QuickSight Tableau)
- Product management mindset: ability to define use cases gather requirements from stakeholders establish success metrics and measure ROI
- Knowledge of eCommerce operations supply chain processes catalog management or product development workflows
- Understanding of data pipeline concepts: ETL/ELT data quality checks incremental refresh monitoring/alerting
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
毕业时间26年11月至27年9月之间毕业
实习时间2026年开始一周实习4-5天持续6个月
工作地点深圳市南山区
简历要求请提供中英双语简历放在一个文件中
投递须知
1 填写简历申请时请把必填和非必填项都填写完整提交简历之后就无法修改了哦
2 学校的英文全称请准确填写
Amazon Private Brands aims to offer customers a wide selection of low-priced products with good quality. HPB sourcing team strives to deliver value products by selecting the best-in-class suppliers track and improve supplier performance and protect customer by proactive defect avoidance. We are looking for customer-obsessed interns to lead initiatives that further develop workflow automation improve datamining and visualization. Internship will locate in Nanshan Shenzhen.
The successful candidate will enjoy diving deep into data and identifying insights as well as have a curious mind on engineering manufacturing quality control methodologies and continuous improvement. You will work closely with the Product Quality Engineering team to analyze product defects implement quality improvement programs and develop knowledge bases for various product categories. The ideal candidate will thrive in a highly collaborative analytical creative and fast-paced international environment. The ideal candidate must be self-driven and have the analytical horsepower to break down complex problems and a strong will to get things done and deliver results. Finally the candidate must also be a strong communicator with the ability to communicate concisely and effectively.
What will you gain:
Gain manufacturing industry and factory management knowledge;
Learn Product Quality Engineering principles and quality assurance methodologies understand the complete product quality lifecycle from sample design review to batch testing;
Apply your learnings in business environment sharpening analytical and coding skills;
Gain hands-on experience with quality improvement programs and defect prevention strategies;
Gain experience in a fast-paced entrepreneurial working environment;
Work with a diverse team with professionals from over 10 different countries and various industries;
Boost you resume with real world experience.
Deliverables
Conduct in-depth Product related data analysis to support business needs and quality improvement initiatives;
Design and implement data models based on excel templates defining objects and attributes for quality metrics tracking;
Support Quality LLM use case studies;
Analyze product defects and quality trends across various product types to identify improvement opportunities;
Support the development and maintenance of product quality knowledge bases;
Track and analyze OTRR (On-Time-Rosolve-Rate) metrics and assist in monitoring testing protocols and sample management processes.
Key job responsibilities
Learn Amazon Data infrastructure and tools extract and integrate data from Datawarehouse for holistic analysis;
Work with cross function stakeholders provide data supports business updates and solutions;
Support quality assurance processes/testings and contribute to continuous improvement initiatives.
- Speak write and read fluently in English
- Speak write and read fluently in Mandarin
- Graduate between Nov 2026 to Sept 2027 currently working towards a Bachelors (BS) or Masters (MS) in Engineering Computer Science Data Science Business Analytics Information Management Mathematics or similar;
- Proficient in SQL for data querying analysis and manipulation across large datasets
- Knowledge of Python and experience using AI coding assistants (e.g. Claude Code Cursor Cline GitHub Copilot Q) to generate understand and debug code
- Strong prompt engineering skills with experience using LLM tools (ChatGPT Claude or similar)
- High attention to detail comfortable with hands-on task management and proven ability to manage multiple competing priorities
- Work 4 to 5 days per week for at least 6 months physically in Shenzhen
- Prior internship experience in business analytics AI/ML projects software development or data engineering
- Experience with AI agent frameworks workflow automation tools or MCP (Model Context Protocol)
- Familiarity with AWS services (Bedrock S3 Lambda Redshift Glue)
- Experience with data visualization and dashboard development (e.g. QuickSight Tableau)
- Product management mindset: ability to define use cases gather requirements from stakeholders establish success metrics and measure ROI
- Knowledge of eCommerce operations supply chain processes catalog management or product development workflows
- Understanding of data pipeline concepts: ETL/ELT data quality checks incremental refresh monitoring/alerting
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Intern
Key Skills
- SQL
- Agile
- Business Analysis
- Visio
- Waterfall
- Business Process Modeling
- Requirements Gathering
- User Acceptance Testing
- Business requirements
- SDLC
- Systems Analysis
- Data Analysis Skills
About Company
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