Data Analyst, Amazon Warehouse & Distribution (AWD)
Data Analyst, Amazon Warehouse & Distribution (AWD)
Posted on :
25-06-2025
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1 Vacancy
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Job Description
Supply Chain Innovation (SCI) Amazon Warehousing and Distribution (AWD) is seeking an experienced candidate to identify create develop and integrate innovative solutions and programs that lead to improvements in our warehousing and distribution network.
This position will lead the development and execution of new logistics initiatives designed to improve overall efficiency and meet the ever-growing demand for storage of bulk inventory in our strategically located distribution centers.
Key job responsibilities
- Retrieving and analyzing data using Excel SQL Access and other data management systems
- Writing high quality SQL codes to retrieve and analyze data
- Monitoring existent metrics analyzing data and partnering with internal teams to identify process and system improvement opportunities
- Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions
- Manage complex calendars and scheduling with diplomacy and discretion manage domestic travel expense report coordination and submission and organize execute and assist with team activities
- Drive small to medium operational enhancement projects
- Excellent problem-solving task prioritization follow-up and customer service skills
**This role may be required to work nights weekends and holidays**
About the team
Supply Chain Innovation (SCI) identify evaluate and lead Inbound Supply Chain initiatives and scale them to improve end to end cost speed and network resiliency. For initiatives with high impact and broad scope with no clear line of ownership we provide leadership to develop trial and scale solutions to full network implementation.
- Bachelors degree in Business STEM Operations Finance or related field
- Experience in a business analyst data analyst or statistical analysis role
- Experience with Tableau AWS QuickSight Power BI or other data visualizations software
- Experience with Excel Access SQL Perl R Python or other scripting languages
- Knowledge of Excel at an intermediate level (e.g. pivot tables & charts multiple criteria lookups nested logical/IF formulas data cleansing array formulas etc.)
- Experience managing large data sets and utilizing to drive performance and process improvements
- 1 years of program management logistics operations supply chain transportation or equivalent experience
- Masters degree
- Degree in Engineering Operations Logistics or related field
- 3 years of experience using scripting languages such as Python and R
- Experience in modeling and analyzing complex logistics networks
- Advanced SQL skills
- Experience communicating across all levels of management peers and clients
- The successful candidate will have strong data mining and modeling skills and is comfortable facilitating ideas and working from concept through to execution.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $46600/year in our lowest geographic market up to $74800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
This position will lead the development and execution of new logistics initiatives designed to improve overall efficiency and meet the ever-growing demand for storage of bulk inventory in our strategically located distribution centers.
Key job responsibilities
- Retrieving and analyzing data using Excel SQL Access and other data management systems
- Writing high quality SQL codes to retrieve and analyze data
- Monitoring existent metrics analyzing data and partnering with internal teams to identify process and system improvement opportunities
- Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions
- Manage complex calendars and scheduling with diplomacy and discretion manage domestic travel expense report coordination and submission and organize execute and assist with team activities
- Drive small to medium operational enhancement projects
- Excellent problem-solving task prioritization follow-up and customer service skills
**This role may be required to work nights weekends and holidays**
About the team
Supply Chain Innovation (SCI) identify evaluate and lead Inbound Supply Chain initiatives and scale them to improve end to end cost speed and network resiliency. For initiatives with high impact and broad scope with no clear line of ownership we provide leadership to develop trial and scale solutions to full network implementation.
- Bachelors degree in Business STEM Operations Finance or related field
- Experience in a business analyst data analyst or statistical analysis role
- Experience with Tableau AWS QuickSight Power BI or other data visualizations software
- Experience with Excel Access SQL Perl R Python or other scripting languages
- Knowledge of Excel at an intermediate level (e.g. pivot tables & charts multiple criteria lookups nested logical/IF formulas data cleansing array formulas etc.)
- Experience managing large data sets and utilizing to drive performance and process improvements
- 1 years of program management logistics operations supply chain transportation or equivalent experience
- Masters degree
- Degree in Engineering Operations Logistics or related field
- 3 years of experience using scripting languages such as Python and R
- Experience in modeling and analyzing complex logistics networks
- Advanced SQL skills
- Experience communicating across all levels of management peers and clients
- The successful candidate will have strong data mining and modeling skills and is comfortable facilitating ideas and working from concept through to execution.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $46600/year in our lowest geographic market up to $74800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
IC
Employment Type
Full-Time
Key Skills
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