Business Intelligence Engineer, Data: Science & Engineering
Amazon
This job is no longer accepting applications
See open jobs at Amazon.See open jobs similar to "Business Intelligence Engineer, Data: Science & Engineering" Ellis H-1B.DESCRIPTION
Amazon Web Services (AWS) is looking for an outstanding Business Intelligence Engineer to join the Data: Science & Engineering team within AWS Marketing.
As a Business Intelligence Engineer on this team, you will get the exciting opportunity to work with senior marketing leadership to understand their business requirements and deliver solutions and actionable insight. Our team is serious about great design and redefining best practices with a cloud-based approach to scalability and automation. A successful candidate will be a person who enjoys diving deep into data analysis, discovering root causes, and implementing long-term solutions. You will help customize business policies and processes while developing new metrics and functionality.
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. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
Key job responsibilities
Responsibilities:
-Uncover trends and correlations to develop insights that can materially improve our marketing performance
-Collaborate and partner across the organization to develop best practices for your function and advocate for improvements in enterprise-wide tools
-Own the design, development, and maintenance of ongoing performance metrics, reports, analyses, dashboards, etc. to drive key business decisions
-Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
About the team
ABOUT AWS:
Diverse Experiences
Amazon 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.
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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
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 and 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.
This job is no longer accepting applications
See open jobs at Amazon.See open jobs similar to "Business Intelligence Engineer, Data: Science & Engineering" Ellis H-1B.