Business Analyst, Amazon Global Logistics

Amazon is hiring a Business Analyst, Amazon Global Logistics in Shenzhen, China. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this business analyst role Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include Quicksight, Tableau and SQL.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Business Analyst leveraging data analytics, business intelligence tools, and reporting automation to support Amazon Global Logistics.

QuicksightTableauSQL

data-analysisbusiness-intelligencedashboardingreporting-automationkpi-tracking

Amazon Global Logistics (AGL) is seeking a data-driven Business Analyst to join the APAC Sales Intelligence & Business Development team. In this role, you will leverage data analytics, business intelligence tools, and cross-functional collaboration to generate actionable insights that guide operational decisions, sales performance, and strategic planning. You will serve as the subject matter expert on presenting data in an informative and actionable way, supporting leadership in making key business decisions through metrics design, reporting automation, and deep-dive analysis.

Key job responsibilities
As a Business Analyst on the AGL team, you will work with large-scale datasets across Amazon's data warehouse ecosystem to design, build, and maintain reporting solutions that enable self-service data consumption. You will collaborate closely with sales leaders, product managers, and cross-functional stakeholders to translate complex data into digestible insights, identify performance gaps, and recommend data-driven action plans.
**Data Analysis & Insights**

- Gather business insights by mining data from complex data warehouses, making recommendations, and helping senior leaders make key business decisions

- Analyze and extract relevant information from large amounts of structured and unstructured data to automate and optimize key processes

- Perform deep-dive analysis on key business metrics (e.g., bookings, conversion, sales performance, seller behavior) and translate findings into actionable recommendations

- Size opportunities, apply statistical testing methods, and build analytical models to address quantitative business problems

- Proactively identify areas of opportunity for in-depth investigation and future program development

**Reporting & Dashboarding**

- Design, develop, and maintain scaled, automated dashboards (QuickSight, Tableau, or similar) to support business needs

- Own the design, development, and maintenance of ongoing metrics, reports, analyses, and KPI tracking

- Build data visualization reports and tools for self-service data consumption

- Improve corporate reporting frameworks and ensure each report is accurate and timely

**Business Metrics & Measurement Systems**

- Design and implement tangible business metrics, measurement systems that guide operations, projects, and program roadmaps

- Update KPI metrics, monitor KPI performance, and support performance deep-dives

- Build and manage key performance indicators (KPIs) to measure, control, and benchmark business processes

**Automation & Technical Development**

- Execute SQL queries and database operations to retrieve and manage data requirements

- Use Python (e.g., pandas) to clean, transform, and format data for reporting and downstream use

- Automate planning, deep-dive, and reporting models to increase efficiency

- Generate complex queries to dive deep on process issues

**Cross-Functional Collaboration**

- Collaborate with centralized Business Intelligence and Data Engineering teams to leverage existing data and build access to new data

- Serve as the primary data reporting and analysis expert supporting business teams, following an intake and prioritization process

- Communicate results to stakeholders effectively and facilitate data-driven decision making

- Partner with sales, marketing, product, and operations teams to deliver insights that drive business growth

**Data Quality & Governance**

- Perform thorough data validation to maintain accuracy, integrity, and consistency across all datasets

- Analyze and validate data to ensure high data quality and reliable insights

- Investigate data anomalies, understand root causes, and develop alternative measurement strategies

Basic qualifications

- 2+ years of complex Excel VBA macros writing experience
- Bachelor's degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
- Experience with SQL or ETL
- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages

Preferred qualifications

- Experience using very large datasets
- Experience in Amazon Redshift and other AWS technologies
- Experience in a BI role with a technology company or financial institution
- Experience in project management

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.

How we rate this

Business Analyst, Amazon Global Logistics at Amazon rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Business Analyst, Amazon Global Logistics is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in CN, 44, Shenzhen.
The job was posted on September 14, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalysisBusiness IntelligenceDashboardingReporting AutomationKpi TrackingQuicksightTableauSQL

Also common in business analyst jobs at this level

Azure Generative AI Java Snowflake Machine learning AI agents

Pay

Typical business analyst job: $96k

This posting doesn't list pay. Use the typical business analyst figure when pay comes up. See business analyst jobs

Questions you could be asked

Tell me about a project where data analysis was part of your work. What did you do?
Tell me about a project where business intelligence was part of your work. What did you do?
Tell me about a project where dashboarding was part of your work. What did you do?
Tell me about a project where reporting automation was part of your work. What did you do?
Tell me about a project where kpi tracking was part of your work. What did you do?

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List these exact terms on your resume: Data Analysis, Business Intelligence, Dashboarding, Reporting Automation, and Kpi Tracking. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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