Senior Business Intelligence Engineer, Infra Supply Chain Automation

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

Do you want to be an integral part of the world's transition to the cloud? The AWS Analytics and Data Solutions (ADS) team is seeking a Senior 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 AWS Infrastructure Services 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 Senior 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.

About the team

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.

Basic qualifications

- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field

- Experience programming to extract, transform and clean large (multi-TB) data sets

- 5+ years of SQL experience

- 5+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience

- 1+ years of SQL, ETL or Oracle experience

- 1+ years of processing large, multi-dimensional datasets from multiple sources experience

- 1+ years of performing statistical analysis experience

- 1+ years of developing automated reporting experience

- Experience with theory and practice of design of experiments and statistical analysis of results

- Experience in scripting for automation (e.g. Python) and advanced SQL skills.

- Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred qualifications

- Experience working directly with business stakeholders to translate between data and business needs

- Experience managing, analyzing and communicating results to senior leadership

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, TX, Austin - 130,400.00 - 176,300.00 USD annually

USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually