DESCRIPTION Join the Amazon Web Services (AWS) Sales, Marketing, and Global Services Ops (SMGS Ops) team! AWS is one of Amazon's fastest growing businesses, serving millions of customers in more than 190 countries. We are reshaping the way global enterprises use information technology and we are powering the next generation of global business leaders. We are looking for entrepreneurial, analytical, creative, flexible leaders to help us redefine the information technology industry. If you want to join a fast-paced, innovative team that is making history, this is the place for you.
The successful candidate will be an expert with SQL, ETL and have exemplary communication skills. The candidate will need to be comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. The candidate will know and love working with business intelligence tools, can model multidimensional datasets, and can partner with customers to answer key business questions.
Key job responsibilities
- Own the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses and dashboards to support analytical and business needs
- Work with business customers to gather requirements and deliver reporting and analytical solutions
- Troubleshoot operational data-quality issues, while driving data democratization throughout the organization, enabling others to self-serve their data needs
- Write queries and output efficiently, and have in-depth knowledge of the data available in area of expertise
- Recommend improvements to back-end data sources and implement data quality checks for increased accuracy and simplicity
- Recognize and adopt best practices in reporting and analysis, including data integrity, accuracy, reliability and documentation
About the team
About AWS
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.
About Sales, Marketing and Global Services (SMGS)
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.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA BASIC QUALIFICATIONS - 5+ years of Microsoft Excel experience
- Bachelor's degree in Business Administration, Finance, Economics, Computer Science, Engineering, or related field
- Experience with data visualization software (e.g., AWS QuickSight or Tableau) or open-source project
- 5+ years of experience using SQL to derive insights from large (billions of rows), complex databases
