Description

　　Amazon is looking for a highly analytical Business Intelligence Engineer to join the AWS Data Center Engineering Team. The Data Center Engineering team owns the availability of AWS data centers, and has a direct impact on the customer experience. We obsess over customers by developing the most advanced engineering solutions that result in world class uptime, while continuously reducing costs for our customers. Amazon offers a fast paced, fun, and exciting work environment. We continue to grow at exponential rates and are looking for individuals that can support our speed to market, enjoy a challenge, and have a desire for professional growth and continuous learning experiences.

　　As a Business Intelligence Engineer, you will partner with Data Engineers and partner teams to harness the vast amount of operational data from the AWS fleet, and will use these data to generate insights that will guide engineering excellence and improvements on behalf AWS customers. In addition, you will build mechanisms that enable Engineering divisions to make informed, data driven, business decisions. Data analysis is at the core Amazon’s culture, and your work will have a direct impact on decision making and strategy for our organization.

　　The ideal candidates will have excellent analytical abilities, outstanding business acumen and judgment, intense curiosity, strong technical skills, and superior written and verbal communication skills. They will have a strong bias toward data driven decision making. They will be a self-starter; comfortable with ambiguity; able to think big and be creative, while exercising strong judgment and good instincts to be right a lot. The ideal candidate is motivated by delivering high-quality and innovative solutions within timeframes that most think are impossible. If you are excited about using data to look around corners and drive engineering solutions that are the foundation of AWS data centers, this role is for you!

　　Key job responsibilities

　　Collaborate with engineering stakeholders, partner technical teams, and business stakeholders, to gather business and functional requirements, and translate these requirements into robust, scalable, and operable solutions that work well within the overall AWS data architecture, and lead to improved engineering decisions.

　　Develop a deep understanding and awareness of operational data from the AWS fleet, and look around corners to recommend analytical solutions for improving engineering decision making and results.

　　In partnership with team Data Engineers, design, develop and maintain user-friendly mechanisms, reports, dashboards, etc., which are automated, continuously scale to meet the pace of AWS growth, and mechanistically drive downstream business outcomes.

　　Apply deep analytic and business intelligence skills to extract meaningful insights and learnings from large and complicated data sets.

　　Build various data visualizations to tell the story of operational trends, patterns, and outliers through rich visualizations. Mechanize such output to drive downstream business outcomes.

　　Insist on the highest standards by recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.

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

　　Austin, TX, USA

　　Basic Qualifications

　　10+ years of professional or military experience

　　5+ years of SQL experience

　　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

　　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 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.