Job Location: Seattle, WA
- BA/BS in Computer Science, Engineering, Mathematics or related experience.
- 2+ years of relevant work experience in data science, business analytics, business intelligence (BI), or comparable experience in big data environments.
- 2+ years of experience in data mining and data-set preparation using SQL
- 2+ years of experience with Tableau Desktop or other relevant data visualization software.
- Experience with data modeling, data warehousing, and building ETL pipelines.
Do you want to be an integral part of the world’s transition to the cloud? The AWS Capacity Delivery Planning & Analytics (CDPA) BI team is seeking a Business Intelligence Engineer (BIE) with a combination of superior analytical abilities, business acumen, business judgement, curiosity, technical skills, and written and verbal communication skills to join our team.
Data-driven decision-making is at the core of Amazon’s culture and people who are exceptionally talented at analyzing large sets of data to build insights are critical. Your work will directly impact the decisions and strategy of the entire Data Center Planning and Delivery org and our customers. You will be gathering customer needs and insights, mining large and diverse data sets from across AWS Infrastructure, building visualizations and tools for our business partners, generating insights to help senior leaders make critical business decisions. Hence, the successful BIE will not only possess the expertise and passion for analyzing data, designing metrics to measure the performance of the business, and building reporting capabilities and tools, but also will interact directly with business leaders and teams that rely on the metrics and analyses that they produce.
The business intelligence engineer must be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail), and enjoy working in a fast-paced, dynamic environment. If you are excited about data, are results-oriented, and want to join a growing analytics team within Amazon – this role is for you!
Key job responsibilities
- Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support the needs of the business.
- Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets.
- Be hands-on with ETL to build data pipeline to support automated reporting.
- Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc analyses to support future improvements or innovations. This will require data gathering and manipulation, problem solving, and communication of insights and recommendations.
- Build various data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations.
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
A day in the life
About 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 celebrate 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.
About the team
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.
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.
- 3+ years of experience in a data engineer or BIE role with a technology company.
- Experience with data modeling, data warehousing, and building ETL pipelines.
- Graduate degree in Computer Science, Engineering, Mathematics, related technical field
- Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical team, and senior management as required.
- Familiarity with Amazon’s AWS services including Glue, EC2, S3 and Redshift.
- Proficiency with JavaScript.
- Experience working in large data warehouse environments.
- Experience conducting large scale and complex data analysis to support business decision making.
- Meets/exceeds Amazon’s leadership principles requirements for this role.
- Meets/exceeds Amazon’s functional/technical depth and complexity for this role.
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.
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