Algorithms, AWS, Data pipelines, Data science techniques, Data Visualization, Machine learning techniques, Python Programming, R Programming, R-Shiny, SAS, SQL, Statistics
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.
Customer Health Insights, provides field teams with permissions-based data and metrics that quantify their customers’ AWS cloud health at a glance, and receive prescriptive guidance to maximize the value that customers get from AWS. This personalized experience connects field teams to everything they need to be trusted advisors to AWS customers and partners, and accelerate their cloud journey. CHI brings together data across Sales, Marketing and Global Services, to display a holistic view of customer health across multiple dimensions, along with AI-generated insights and recommendations to help AWS account teams and leadership solve issues, maximize customer value, and accelerate AWS adoption in the most efficient way possible.
As part of the CHI team, you'll be responsible for measuring the quality of inputs to CHI, accuracy of measures,and actionability and prioritization of recommendations. You will discover and solve real-world problems by analyzing large amounts of business data, defining new metrics and business cases, designing simulations and experiments, creating models, and collaborating with colleagues. You’ll bring with you a strong quantitative background and thrive in an environment that leverages statistics, machine learning, operations research, econometrics, and business analysis. And in return, you’ll have the chance to work on some of the world’s largest and diverse datasets.
Key job responsibilities
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
We are open to hiring candidates to work out of one of the following locations:
Arlington, VA, USA | Austin, TX, USA | Dallas, TX, USA
BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
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.
Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. These cloud computing web services provide a variety of basic abstract technical infrastructure and distributed computing building blocks and tools. One of these services is Amazon Elastic Compute Cloud (EC2).
Canberra ACT, Australia
2-4 year
Sydney NSW, Australia
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year