Business Intelligence Engineer, AWS Programs
Austin, Texas, USA
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...AWS customers transform and reinvent their businesses through the cloud and the AWS Partner Network (APN) is helping to dramatically accelerate that innovation. There are tens of thousands of APN Partners across the globe. More than 90% of Fortune 100 companies and the majority of Fortune 500 companies utilize APN Partner solutions and services.
This is excellent opportunity for a BIE interested in joining AWS. Given the scope and breadth of the Programs business for AWS, you will have the opportunity to learn about all the AWS services, global revenue drivers and leading AWS end customers. This position also provides exposure to AWS senior leadership. BI is core to the Program strategy and this position will play a central role in supporting leadership doc reviews with AWS S-team members.
Key job responsibilities
As a BIE of the global Programs analytics, you will own the reporting and insights for this large growth business, influencing the global vision and strategic direction. This is an exciting opportunity for a Business Intelligence Engineer who wants to develop innovative ways of interacting with and interpreting business metrics, and shape the future of a growth AWS business. Your work will encompass the end-to-end development of self-service reporting, analytical investigations and automation solutions. You will use your excellent communication and technical skills to translate a variety of business problems into analytical solutions, collaborating with and challenging business owners (Program leaders, Partner Development leaders, Finance and Marketing) to make better decisions on behalf of AWS and our customers.
About the team
Our team puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we encourage you to have a more productive and well-balanced life—both in and outside of work.
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.
Inclusive and Diverse Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we 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 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Tenured AWS employees welcome to apply
Basic Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience writing complex SQL queries
Preferred Qualifications
- Bachelors Degree
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Business Intelligence Data visualization ETL Finance NoSQL Oracle Pipelines QuickSight Redshift SQL Tableau
Perks/benefits: Career development Conferences
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