Data Analyst, Business Intelligence Engineering

- High School Diploma.
- MS Office experience required, including experience with Excel (v-lookups, pivot tables, etc.).
- Experience writing VBA and using macros in Microsoft Excel.
- 1 year of experience in SQL (intermediate - advanced level).
- Demonstrated experience pulling and analyzing data to aid in root cause identification and drive process improvement initiatives across the network.
- 1 year of experience in Python.
- 1 year of experience in developing dashboards using tools such as Tableau, Power BI or QuickSight (preferably)

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.

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.

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