Business Analyst I

Job description

DESCRIPTION

At Amazon, we're working to be the most customer-centric company on earth and to grow in a safe environment for both our Customers and our Associates. To get there, we need exceptionally talented, bright, dynamic 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.

We are looking for motivated self-starters who can work in a fast paced, data-driven environment. The successful candidate will be an analytical problem solver, have an extremely high level of customer focus and a passion driving improvements in the areas of data & analytics.

As you further your career as a Business Analyst on the AGFS Data Technologies team, you will remove barriers to the business intelligence teams need, support self-service tools and mechanisms, and identify opportunities for improved analytics. You will analyze data, discover and solve real world problems and build metrics and business cases to improve customer experience. We are focused on your success and want to build strong leaders within Amazon Services. You can expect to leverage your analytical skills and have full ownership of the projects you work on.

Successful candidates will demonstrate our leadership principles: ownership, a bias for action, deep dive, deliver results, and customer obsession.

Desired profile

BASIC QUALIFICATIONS

- Bachelor's degree in Business, Engineering or a related field
- 2+ years of professional experience in analytics, measurement & experimentation, statistical data analysis, or comparable experience
- Advanced working knowledge of data mining using SQL, ETL, data warehouse as well as Excel
- Experience working with large data sets
- Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams
- Proven problem solving skills, project management skills, attention to detail, and exceptional organizational skills
- Ability to deal with ambiguity and competing objectives in a fast paced environment