Job Description

Imagine if you could help shape the future of architecture, and go on a journey where few have tread before. AWS Well-Architected aims to help our customers develop technical expertise in AWS services, learn how to architect their cloud applications, and provide a great experience for customers and partners.
AWS is one of Amazon's fastest growing businesses. More than a million active customers, from Airbnb to SAP, use AWS Cloud solutions to deliver flexibility, scalability, and reliability. As a Business Intelligence Engineer at Amazon, your Primary responsibilities will be to analyze data and create a model to share insights with other AWS service teams, create automated processes and mechanisms to generate reports for the internal leadership to view and analyze, work with large datasets to pull additional data and aggregate that information into meaningful insights, run ad hoc reports on a need basis for various stakeholders. You will also be part of a team that is responsible for engineering data requirements for all new features and enhancements.
Job summary
Job summary
We are powering an automation and self service driven customer journey for AWS customers leveraging a range of Analytics tools to generate business shaping insights.
About AWS: For more than 11 years, Amazon Web Services ("AWS") has been the world's most comprehensive and broadly adopted cloud platform. AWS offers over 100 fully featured services to millions of active customers around the world - including the fastest-growing startups, largest enterprises, and leading government agencies - to power their infrastructure.
About the Analytics Team: The Analytics team is a small, central group in the AWS Support organization. The team comprises members from a range of skill-sets such as strategy & planning, Machine Learning / predictive analytics and Business Intelligence. The Analytics team is responsible for pushing our Product, Process and Customer understanding and insight beyond the here and now to create value for the long-term. The team is responsible for coming up with hypotheses, uncovering key insights and developing a point of view on actions across the portfolio of our products and services.
About the Role: If you love driving critical thinking and insight into challenging, unstructured problems and working with leaders in the organization to bring those insights into action, this role is for you. This is a hands-on role, however, being a part of a small team gives opportunity to take ownership of the customer / business problem across the spectrum from ideation to setting it up for implementation in partnership with stakeholder teams.
Analytics topics include, but not limited to:
1. Product / Value Proposition design
2. Customer / Go-to-market
3. Customer Experience
4. Business Planning & Forecasting
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.
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. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

• Master's degree in a quantitative field (engineering, economics, math, or statistics), business, etc or equivalent experience
• Hands-on experience in Machine Learning / Predictive Analytics
• Must be a self-starter, able to manage multiple tasks and projects simultaneously
• Experience owning problem-solving end to end
• Work well under pressure to meet ongoing and overlapping deadlines within short time constraints

Must be flexible, detail-oriented, and comfortable in a fast paced environment