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.
The Centralized Data and Insights Team (CDI) has an immediate need for a creative and driven Business Intelligence Engineer (BIE). In supporting the AWS Specialist Partner Organization (ASP), CDI BIEs have a passion for building solutions that have a measurable impact. You must be innovative and technically versatile. You will have the opportunity to work in a fast paced cloud sales organization within Amazon, using a vast warehouse of data to find actionable insight and key drivers behind the APOs most visible metrics.
You should be an expert in the architecture implementation of data processing solutions using multiple platforms. You should excel in the design, creation, management, and business use of extremely large datasets. The role requires excellent business and communication skills to work effectively with fellow BIEs, Operations leads and Sales stakeholders to consult as a reporting subject matter expert and provide innovative reporting solutions.
You must have the ability to learn new technology, develop deep understanding of how the ASP Operates and its latest strategic priorities is critical to the role.
Key job responsibilities
- Implement data pipelines from disparate sources to ingest, transform, and store the data in a scalable format that other BI builders can leverage for similar metrics.
- Gathering and understanding data requirements, working with cross-functional teams to achieve high quality and scalable data solutions for our products and mechanisms.
- Dive deep into requirements to unearth optimal reporting design (e.g., key dimensions, broadest reporting audience, scalability, etc.) with Operations leads and drive constructive technical discussions.
- Build end-to-end BI solution
- Determine lineage to understand the chain of custody and transformation of data to build enablement material that scales the impact of you solutions
- Create interactive data visuals with QuickSight, Tableau, Matplotlib etc.
- Exploring and learning the latest AWS technologies to provide new capabilities and increase efficiency.
A day in the life
The role is part of a Centralized BI Team in the AWS Partner Organization. The primary focus is developing scalable reporting artifacts that can be leveraged by other Line of Business BI Teams, easily. You will be the conduit between reporting logic in the greater AWS Organizations, whilst closely partnering with other APO BI Teams to tell the story of the APO within AWS. You will create trusted and clear data artifacts as well as act as a SME on the drivers behind trends in top line reporting and any actionable Insights sales teams may take in response. BIEs in the CDI Team will work across multiple data functions and Sales personas interchangeably and exhibit an ability to communicate effectively with both technical and non-technical Amazonian’s.
About the team
CDI is a BI Team within the Partner Intelligence Organization, which consists of Data Engineers, Data Scientists, Business Analysts, Product Managers and Technical Program/Product Managers. CDI is chartered to establish a long-term reporting solutions, operational frameworks, and business insights for the AWS Partner Organization.
Members of this team will be challenged to innovate use the latest big data techniques. We are looking for people who are motivated by thinking big, moving fast, and exploring business insights. If you are autonomous and love to implement solutions to complex problems while working hard, having fun, and making history, this may be your opportunity.
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.
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.
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.
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.
- 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 with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Scripting (e.g. Python) for data analysis.
- Experience in Statistical Analysis packages such as R, SAS and Matlab
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
