Amazon Web Services, Inc. ("AWS") enables customers of all sizes to run their applications on Amazon’s industry-leading cloud computing infrastructure. AWS is growing very rapidly with hundreds of thousands of companies in over 190 countries on the platform. This growth is driving the need for an experienced Business Insights Analyst. Amazon has a strong culture of data-driven decision-making; requiring timely, accurate, and actionable intelligence that delivers significant business value. We are looking for a hands-on and motivated self-starter who is passionate about using data to help us measure every area of the business and influence decision-making.
In this role, the Business Insights Analyst serves as the subject matter expert to fulfill data-driven decision making demands. As the successful candidate, you must be able to roll-up your sleeves and work directly with large and complex datasets. You will continuously evolve business reporting, conduct data analysis, build self-service reporting and analytical tools, and deliver business insights in an environment of rapid growth and increasing complexity.
You will be passionate about your work, detail-oriented, analytical, and possess creative problem-solving abilities. You will need to demonstrate subject matter expertise in querying and extracting large datasets and the accompanying tools and programming languages needed to work with them. You will possess good communication and project management skills, is customer obsessed and able to communicate complex business insights; both verbally and in writing; in a clear and precise manner.

Key job responsibilities
1. Lead the development of self-service reporting and analysis by creating and owning business reports and insight products
2. Conduct data analysis to solve business problems through the use of statistical and/or machine learning models
3. Continuously sharpen the skill-set by learning and maintaining knowledge of existing and emerging business intelligence tools
4. Collaborate with the internal and global data engineering teams on the design, development and maintenance of data infrastructure including data models
5. Collaborate with the internal and worldwide data science teams on the design, development and maintenance of statistical and/or artificial intelligence/machine learning (AI/ML) models

About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. 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 and enable them to take on more complex tasks in the future.