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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.

The Global Network Deployment (GND) organization is looking to hire a Business Intelligence Engineer II to join our Data and Analytics Team to support GND’s fast growing operations. The GND organization owns the delivery of physical network

infrastructure for core data centers and Edge points-of-presence (PoPs) globally through planning, deployment, and process optimization. This role will own data analytics projects from beginning to end, utilizing business intelligence tools to produce dashboard, planning models, and analysis for the different GND verticals. You will work with demand planning, finance, networking, and other BI teams across AWS to deliver high quality and robust data visualizations and analyses. You will recognize and adopt best practices in reporting and analysis, including data integrity, data validation, and documentation. Your analysis will contribute deeply to the development of our strategy and drive impact against our business objectives.

Key job responsibilities

- Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems. Successful members of this team collaborate effectively with internal end-users, cross-functional SDE, DE and Product Teams to solve problems, and implement BI solutions.

- Establish baseline metrics and analytics. Collaborate with business customers and the leadership team to track and report all key performance indicators (KPI) against annual, quarterly and monthly goals.

- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new and existing tools.

- Creating and maintaining ETL pipelines across a wide range of data sources using SQL and Python, among other technologies.

- Driving best practices in documentation, coding standards, and data integrity.

A day in the life

A typical day in this role provides an opportunity to build innovative data solutions with diverse systems and sources of data identify high-priority work and projects that maximize results for key stakeholders, and solve complex problems that impact company-wide strategic decisions.

• Take detailed requirements from stakeholders to deeply understand their current manual processes and pain points

• Think creatively to identify opportunities to solve problems using technology-driven solutions

• Design and implement optimal automation solutions to address stakeholder needs

• Thoroughly document all processes, solutions, and learnings to ensure knowledge capture and sharing.

About the team

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.

The Intel & Reporting (I&R) team within the Global Network Deployment (GND) org is responsible for the creation and communication of operational and financial metrics to drive efficiencies within the different GND verticals. This is achieved by identifying areas of opportunity, performing deep dive analysis, and providing our customers with tools, dashboards, and reports that influence business direction.

Basic Qualifications

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

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

- Experience with data modeling, warehousing and building ETL pipelines

- Experience in Statistical Analysis packages such as R, SAS and Matlab

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

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

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 $89,600/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.