Business Intelligence Engineer, AWS Accelerator Systems

AWS Infrastructure Services (AIS) 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.

We build the tools that build the cloud, and keep it running! The AWS Accelerator Systems (ACC) team is looking for an experienced Business Intelligence Engineer (BIE) to build innovative insights that influence how work is orchestrated in AWS data centers.

Accelerator Systems owns the custom software products that enable safe, secure, and efficient processes for technicians around the world.

AWS customer offerings are constantly innovating and evolving. To keep our data centers running at the same velocity, we require high-quality, impactful, data points to guide decision making.

As a BIE with ACC, your work will influence what components are built in our software products, and have a direct impact on data center technicians’ day-to-day activities.

You will work closely with global process owners, software developers, program managers, and other data specialists across many AWS Infrastructure Services teams.

This high velocity environment creates large opportunities for innovation, creativity, and exploring outside the box while engineering data products from beginning to end.

We expect our BIEs to enjoy learning new skills, challenging themselves, and sharing their knowledge with teammates. This appetite for learning and innovation is particularly important as we leverage new AI and machine learning models to accelerate our outcomes.

A successful BIE for ACC will have strong written and verbal communication skills. They will be confident in handling both detailed conversations with technical teams and contributing to high-level discussions with business leaders.

A successful ACC BIE will also be comfortable navigating ambiguity and be willing to jump into something new. They will quickly learn the business area, becoming a subject matter expert on the data, and anticipating long-term data needs.

ACC BIEs are required to have strong SQL skills, data modeling experience, the ability to deep dive in unfamiliar data sets, and be comfortable with a basic scripting language.

Key job responsibilities

• Build and own data artifacts including : data models, ETLs, visualizations, ML models, and simulations on large multidimensional datasets to uncover trends, patterns, and opportunities
• Perform analysis of deep dives and models to provide data for the decision making process, including written and verbal presentation of results and recommendations
• Work closely with partners and customers to understand programs and business goals. Participate in design and definition of innovative and influential methods of measurement
• Work with software development and business teams to design requirements for appropriate capture and storage of key data points needed in metrics and modeling
• Recognize and adopt best practices in reporting and analysis : data integrity, test design, analysis, validation, and documentation

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.

BASIC QUALIFICATIONS

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience writing complex SQL queries
• Experience with data visualization using Tableau, Quicksight, or similar tools

PREFERRED QUALIFICATIONS

• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
• 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
• Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
30+ days ago