Job Description
DESCRIPTION
The Global Services, Security (GSS) team, a part of Amazon Web Services, leverages the expertise and ingenuity of our builders to establish scalable security solutions for both internal and external customers that drive business outcomes. Our goal of securing the world’s workloads and building a brighter future for humanity requires us to focus on reliable delivery of bar raising security outcomes and investment in security mechanisms and automation on behalf of our customers.
Are you passionate about solving business problems through data driven decision making? You will own data analytics projects from beginning to end, utilizing business intelligence tools to drive key recommendations and produce planning models, forecasting, and analysis. Your analysis will contribute deeply to the development of our strategy and drive impact against our Global Services business objectives. You will work closely with cross-AWS teams to achieve business objectives and communicate insights to key stakeholders. You will recognize and adopt best practices in reporting and analysis, including data integrity, analysis, validation, and documentation and drive results in a fast-paced, ambiguous environment.
Key job responsibilities
- Work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
- Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions.
- Conduct ad hoc data analysis and data quality investigations.
- Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools.
- Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.
- Design and implement an analytical environment using third-party and in-house reporting tools, modeling metadata, building reports and dashboards.
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.
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
- Experience in Statistical Analysis packages such as R, SAS and Matlab
Job Tags
Full time, Flexible hours,