Business Research Analyst jobs at Amazon in China, Dehui City

Key job responsibilities1) Metrics build-up/maintenance across all supply chain functions, including but not limited to key metrics on UPB, UPPD, instock rate, transfer volume etc.3) Simulations and modeling with internal or external tools to study complex supply chain use cases on inventory placement and order fulfillment
4) Metrics related deep dive, call-outs on weekly and monthly basis.

- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience defining requirements and using data and metrics to draw business insights
- Experience or knowledge on Supply Chain, Logistics or e-commerce
- Master's degree or equivalent

Key job responsibilities
- Drive adoption of GenAI technologies (LLMs, AI agents) while maintaining robust data engineering practices
- Partner with leadership to identify opportunities for AI integration in existing data products
- Build secure, scalable, and cost-effective solutions using modern data infrastructure and AI capabilities
- Establish best practices for responsible AI development while ensuring data governance- Champion innovation while maintaining operational excellence
- Influence strategic planning and technology roadmap decisionsA day in the lifeInclusive Team CultureWork/Life BalanceThis position involves on-call responsibilities, typically for one week every two months. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don’t get paged for the same issue twice.
Mentorship & Career Growth

- Bachelor’s degree in Computer Science, Engineering, Mathematics or IT related technical discipline,
- 10+ Years Experience in management of mid to large-sized teams
- 15+ years of experience with detailed knowledge of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding.
- 8+ years of large IT project delivery for BI oriented projects.
- 8+ years of working with very large data warehousing environment

The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI / ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research Scientists, Applied Scientists, and Business Intelligence Engineers using rigorous quantitative approaches to ensure high quality data science products for our customers around the world. As a BIE Intern, you will play a crucial role in developing and maintaining adhoc / regular BI products for science projects and working on relevant analytic supports.Key job responsibilities2. Acquire expertise in the state-of-the-art statistical and ML techniques / tools.
3. Analyze data with statistical and ML techniques for Supply Chain solutions using Python.
4. Develop automating metrics report, and display meaningful insight info with data to identify business opportunities or to support leadership decision making.6. Business / analytical knowledge management, including but not limited to: project paper writing, flowchart drafting, and internal Wiki maintenance.

1. Current enrollment in a Bachelor's or Master's degree program (Class of 2026 / 2027) in Statistics, Business Analytics, Information Systems or related quantitative fields.
2. Working onsite in the Beijing office (4+ days/week) for minimul 6 months.
3. Strong proficiency in SQL query writing.
4. Experience in data visualization tool (e.g. Tableau, Power BI) development.
5. Hands-on experience with Python for data analysis.
6. Basic understanding of statistics and ML theory.
7. Willingness to learn Operations domain knowledge.

1. Interface with business customers to gather requirements, with ETL extract, transform and load data from a wide variety of data sources using SQL and Python.
2. Knowledge of how to improve code quality and optimize BI processes (e.g. speed, cost, reliability).
3. Demonstrated experience in ML and LLM related projects.
4. Ability to translate technical concepts into clear documentation for non-technical stakeholders.
5. Familiar with at least one flowchart tool (e.g. Visio).
6. Knowledge of database technologies (e.g. Redshift, Aurora, DynamoDB)
7. TOEFL 105+ / IELTS 7.5+.

Key job responsibilities1) Metrics build-up/maintenance across all supply chain functions, including but not limited to key metrics on UPB, UPPD, instock rate, transfer volume etc.3) Simulations and modeling with internal or external tools to study complex supply chain use cases on inventory placement and order fulfillment
4) Metrics related deep dive, call-outs on weekly and monthly basis.

- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience defining requirements and using data and metrics to draw business insights
- Experience or knowledge on Supply Chain, Logistics or e-commerce
- Master's degree or equivalent

Scope of Work:1. Provide comprehensive support for team reporting preparation and analysis
2. Execute SQL queries and database operations to retrieve and manage team data requirements
3. Perform thorough data validation to maintain accuracy, integrity, and consistency across all datasets
4. Handle essential administrative tasks and day-to-day operational support

1. Be able to work 4-5 days each week
2. Highly proficient in Excel, MS PowerPoint, MS Word,SQL
3. Good command of English, at least CET-4

1. Accuracy and attention to detail
2. Sound judgment and flexibility in balancing requirements, tight deadlines, and keeping people and projects moving on schedule

Responsibilities include working with a team of support engineers, enhancing process and service improvements, monitoring and improving day-to-day operational efficiency, and being self-motivated. The role also involves driving smaller-scope development projects and building custom tools.Key job responsibilities
Technical Support and Problem Resolution • Diagnose and resolve complex production software issues across multiple products and services • Perform comprehensive troubleshooting and root cause analysis for technical challenges • Provide timely and effective support through ticket management and customer communicationSoftware Development and Maintenance • Develop and implement operational tools and automation solutions using Ruby, Rails, Java, Python, and shell scripting • Maintain and configure software systems in staging and production environments • Implement fixes and enhancements for internally developed software applicationsSystem Operations and Monitoring • Design and implement monitoring solutions to ensure system reliability and performance • Manage software deployments and support infrastructure in AWS and web technology environments • Create and maintain system and support status reportsTeam Collaboration and Knowledge Management • Coordinate support issue handoffs within the team • Develop and contribute to a comprehensive team knowledge base • Collaborate with cross-functional teams to improve operational excellenceProduct and Service Ownership • Take ownership of digital products or system components • Ensure adherence to service level agreements (SLAs) • Coordinate customer notifications and workflow managementThis rewrite provides a more structured and clear representation of the support engineer's responsibilities, highlighting key areas of expertise and expected outcomes.

- 3+ years of continuous integration and continuous delivery (CI/CD) experience
- 3+ years of software development with object oriented language experience
- 3+ years of virtualization, orchestration and cloud computing (eg. Hypervisors, VMware, Xen) experience
- 3+ years of database administration experience
- 3+ years of information security and compliance experience
- Bachelor's degree in computer science or equivalent, or 3+ years of technical support experience

- 3+ years of distributed systems experience
- 3+ years of network and operating system support experience

Key job responsibilities1) Metrics build-up/maintenance across all supply chain functions, including but not limited to key metrics on UPB, UPPD, instock rate, transfer volume etc.3) Simulations and modeling with internal or external tools to study complex supply chain use cases on inventory placement and order fulfillment
4) Metrics related deep dive, call-outs on weekly and monthly basis.

- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience defining requirements and using data and metrics to draw business insights
- Experience or knowledge on Supply Chain, Logistics or e-commerce
- Master's degree or equivalent