At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history.
This role requires an individual with excellent analytical abilities, business acumen and exceptional written and oral communication skills. The successful candidate will have a strong understanding of different business models and the underlying analytics, and the ability to assimilate new methodologies and data sources. They will be a self-starter comfortable with ambiguity, with strong attention to detail, be vocally self-critical, and with an ability to work in a fast-paced and ever-changing environment. They recognize that the true measure of the work product is the business impact it has.
In this role, you will work closely with the operations teams to provide data and analytical support for Fulfillment Center initiatives, root cause investigation of defects, and will provide support to insure compliance to operational-related SOX requirements. Moreover, analyze data to support Operational Excellence initiatives, dig deep into data to determine root cause of defects, build and maintain decision support tools, and present findings to business partners to drive improvements in Fulfillment Center-wide quality and productivity.
The complexity of research and skills for the position is well beyond basic data entry and research. It involves complex analysis and diving deep into key metrics based on requests, building and maintaining multiple databases, extensive knowledge of software applications to create tools, and understanding of multiple programming languages. The following provides some detail of the job duties and responsibilities.
Key job responsibilities
- Development of data collection processes and data management systems
- Maintenance of data integrity (0% error rate)
- Designing of queries, compiling of data, and generation of reports in MS Access and Excel
- Charting and graphing of data for reporting purposes
- In depth research of defect trends
- Data collection and entry as needed
- Data mining and problem solving
About the team
Inclusive team culture
At Amazon we embrace our differences and we are committed to furthering our culture of inclusion. We host annual and ongoing learning experiences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work Life Balance
We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional.- High school or equivalent
- 1+ years of data analysis and formula creation in Microsoft Excel experience
- 1+ years of experience in a business analyst/data analyst/statistical analyst role and conducting analysis and data mining using Excel
- 1+ years’ experience extracting and processing data using SQL.
- Demonstrated experience pulling and analyzing data to aid in root cause identification and drive process improvement initiatives across the network- Experience with end-to-end project management
- Bachelor's degree or equivalent
- Experience in English-language communication skills, both written and verbal
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.
