Sr.Data Analytics Engineer(SAnDS)

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.
Amazon’s technology business has a history and tradition of leading the world in web-related technologies and services. Now, with Amazon Web Services (AWS) you have the chance to help individuals and businesses with their computing and applications in the Cloud. As a member of AWS Support, you will be at the forefront of Cloud technologies and part of the world’s premier cloud services company while enjoying the culture of a start-up. You will be surrounded by people who are smart, passionate about cloud services, and believe that world class support is critical to customer success.

A day in the life
As an experienced Advanced Analytics Engineer, you will play a key role as an internal consultant developing analyses related to the AWS Support businesses. You will need to interface with a diverse set of stakeholders and will work closely with Business Intelligence teams, Program managers, Business teams, Data engineering, Financial analysts, Operations Managers, Data Scientists and Product teams to analyze massive data sets, identify areas to improve, define metrics to measure and monitor programs, and most importantly work with different stakeholders to drive improvements over time. To be successful, you should demonstrate the ability to balance analytical and technical skills while clearly driving communication and collaboration with key partners. You will also work closely with internal leadership teams to extract or mine information from our existing systems to create new analysis, and expose data from our group to wider teams in intuitive ways. As a member of the team, you will also have the opportunity to leverage your passion for data science to create high impact solutions.

About the team
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
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

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 sacrificesat 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.

Basic Qualifications

- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred Qualifications

- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.