- Are enrolled in or have completed a Bachelor's degree
- Speak, write, and read fluently in English
- Can sign a learning agreement with the University in which you are enrolled
- Work 40 hours a week throughout the course of a 6 months summer internship
The AUTA Team is looking for ambitious students to join us at the heart of our core Consumer business. As a Business Analyst Intern you will join one of our Business Intelligence, Retail, or Seller Services teams. The role provides an opportunity to understand Amazon businesses and processes, enhance analytical skills, and make significant business impact.
Our primary purpose is to make our customersโ lives easier. Your work will contribute to that purpose. Here, your voice and ideas can produce the breakthroughs.
Key job responsibilities
Job Responsibilities include:
- Working with operational, finance, retail and technical teams across the organization to identify opportunities, develop sound business cases and drive measurements of actions to continuously improve on the inputs and ultimately the outputs of the business
- Working with large volumes and big data, in a highly complex business
- Working with business intelligence tools, accessing and working with big data from multiple sources, and partnering with the business to identify strategic opportunities and deliver results
If youโre insatiably curious and always want to learn more, then youโve come to the right place. Depending on your location, country, job status and other requirements, some or all of the following benefits may be available to you as an intern.
- Competitive pay
- Impactful project and internship/role deliverables
- Networking opportunities with fellow interns
- Internships events such as speaker series, intern panels, Leadership Principles sessions, Amazon writing skills sessions.
- Mentorship and career development
Internship start dates vary throughout the year. Internship length will be 6 months.
- Are enrolled in or have completed a Master's degree
- Experience using databases with a large-scale data set
- Experience with SQL