Amazon Web Services (AWS) is the pioneer and recognized leader in Cloud Computing. Our web services provide a platform for IT infrastructure in-the-cloud that is used by hundreds of thousands of developers and businesses around the world. These customers range from start-ups to leading web companies to Global 500 companies in financial services, pharmaceuticals, and technology.
Want to make history? Come and join the AWS Analytics team – the creators of Amazon Redshift, Amazon EMR, and Amazon Athena. Thousands of customers run managed databases on Amazon’s industry leading cloud computing platform.
Key job responsibilities
As a specialist within Amazon Web Services, you will shape the future of the analytics industry and further establish Amazon as the leader in the cloud computing space.
You will work directly with the most interesting and demanding customers in assigned customer segments to understand requirements and turn them into reality. You will use your business savvy to increase adoption of AWS analytics services, develop programs, drive revenue and identify new opportunities.
Working hand in hand with our sales teams and solution architects, you will help deliver the finest solutions based on our platform of analytics services. Your in-depth technical background in analytics will help customers understand how to improve their businesses using the right services. Your excellent verbal and written communication skills will allow you build enablement tools and evangelize our platform with customers and valued partners.
You will possess both a business background that enables them to drive an engagement and interact at the CxO/VP level, as well as a technical background that enables them to easily interact with software developers and architects. You should also have a demonstrated ability to think strategically and analytically about business, product, and technical challenges, with the ability to build and convey compelling value propositions, and work cross-organizationally to build consensus. A keen sense of ownership, drive, and scrappiness is a must.
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
We are open to hiring candidates to work out of one of the following locations:
London, GBR
BASIC QUALIFICATIONS
-Bachelor’s degree or equivalent is required.
-Experience in business development, pre-sales, technical account management, solutions architecture or program/product management experience.
-Must have Data Analytics / Machine Learning experience.
PREFERRED QUALIFICATIONS
- Data analytics learning technical knowledge with ability to go deep enough on technical aspects to differentiate between varied analytics approaches (data warehousing, Hadoop, operational analytics etc.).
- Experience in large enterprise customer facing roles.
- MBA, Computer Science, and/or Engineering/Math background highly desired; working knowledge of software development practices and data centre / infrastructure / networking technologies highly desired.