Data Analyst, Worldwide Operations
Amazon.com
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, outstanding 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 Sort 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
This role requires an individual with excellent analytical abilities, outstanding 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 Sort 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
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