Business Intelligence Engineer II, Data Center Capacity Delivery

DESCRIPTION

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.

We are hiring a team player who is passionate about connecting teams and missions through data. This person will work across teams and regions to gain alignment on data requirements, data quality, and to identify and drive process improvements and cost savings opportunities around the globe. Specifically, this person will have an understanding of construction costs including but not limited to factors affecting site, labor, material, and process costs.

Key job responsibilities

Identify, locate, and consolidate data from partner teams and tools to create end-to-end data visibility, dashboards, and reports with key insights into cost savings opportunities.

Will work across teams and regions to understand key processes and how they influence the data quality and availability.

Will participate in meetings with partner teams and leadership to explain cost trends and cost savings opportunities.

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.

We are open to hiring candidates to work out of one of the following locations:

Herndon, VA, USA | Seattle, WA, USA

BASIC QUALIFICATIONS

• Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.

• Experience with data visualization using Tableau, Quicksight, or similar tools

• Experience with data modeling, warehousing and building ETL pipelines

• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

• Experience in construction quantity surveying, preferably in data center construction.

• Experience with and understanding of construction costs including but not limited to factors affecting site, labor, material, and process costs.

• Experience with large scale construction cost data and terminology.

• Ability to clearly communicate to teams of varying technical understanding.

• Ability to influence partner teams to deliver results.

• Advanced skills in Excel VBA macros, formulas, and data visualization.

• Ability to think logically and critically about data accuracy and dependencies.

• Ability to analyze cost data and project attributes from multiple sources to identify cost savings opportunities.

PREFERRED QUALIFICATIONS

• 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

• Understanding of and experience in working with Artificial Intelligence or GenAI tools.

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 $79,600/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.