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Description

AWS GCID (Global Capacity & Infrastructure Development) owns the design, planning, procurement, delivery, and operation of all AWS global capacity infrastructure. In other words, we’re the people who keep the cloud running. Our connectivity supports 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 use your expertise and knowledge of the Data Center and Telecom infrastructure business and its technologies to drive insightful discussions with leadership and can anticipate—and possibly influence—their program's future. You ensure the team’s Business Intelligence solutions are accurate, timely, accessible and actionable. You are able to take the lead on large projects that require the work of multiple persons. You know how to divide a BI project into parallel work that can be performed by you and other data professionals and then reassembled successfully into a cohesive launch.

You are a key influencer in team strategy. You take ownership of team infrastructure, providing a system-wide view and design guidance. You make things simpler. You drive BI engineering best practices; code reviews, syntax and naming convention, metric definitions, alarms and set organizational standards. You work to resolve the root cause(s) of pervasive or persistent problems; your efforts may unblock related teams. This may require you to influence decisions made by other teams.

Key job responsibilities

Collaborate with cross-functional teams to design, develop, and maintain end to end complex performance metrics and visualizations to monitor and report business performance

Collect, analyze, and interpret large datasets from diverse sources to identify trends and patterns

Implement data governance best practices to ensure data accuracy, consistency, and compliance with security and privacy regulations.

Proactively identify opportunities to improve data quality, performance, and usability of existing dashboards and reports.

Work on data pipelines, data models and leverage the AWS Infrastructure tech stack to build tracking metrics and related visualizations

Provide technical guidance and support to stakeholders in leveraging dashboards and data insights to enhance decision-making processes

A day in the life

You will work closely with Data Center Supply, Optical Deployment, Finance, Legal, and Fiber Business Development to manage spend related to AWS customer-facing network activities, ensuring that network projects timelines and costs are closely tracked, easily understood, and managed year over year. You will be a trusted resource for Global Connectivity Infrastructure Development and will be a key member of a team of innovative program managers to extend impact across the organization. You will be empowered to think big, influence others, and exercise ownership over your solutions.

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

- 10+ years of professional or military experience

- Experience with SQL

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

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

- Experience with AWS technologies

- 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

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

Preferred Qualifications

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

- Experience managing, analyzing and communicating results to senior leadership

- Experience in data mining, and using distributed databases/datasets in a large-scale and complex business environment

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/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.