Business Intelligence Engineer, AWS Global Services, Strategy and Operations

- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience writing complex SQL queries
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience in Statistical Analysis packages such as R, SAS and Matlab

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 $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.
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.

Our team is seeking an innovative, insightful and result-oriented Business Intelligence Engineer (BIE) to join our Global Services Strategy and Operations (S&O) organization. The S&O organization is dedicated to working closely with the leadership team to formulate the medium to long term financial and strategic plans for AWS Customers across Global Services. We seek to increase efficiency and profitability by analyzing financial and operational results to better understand business performance and communicate results to senior leadership.

This role supports two Global Services organizations: Go-to-Market/Business Development and Sovereign Cloud. Including all internal business partners (Finance, Field Operations, Leadership, Product and Program management, etc) and external (Global Services Business Units: ProServe, Training and Certification, Support, Security, etc) stakeholders. Our data products help our customers make critical business decisions that impact revenue and pipeline generation across all industries. This role will build data products from scratch and will maintain these products once launched.

Key job responsibilities
* Interface with stakeholders and business partners to gather data and metrics requirements, translate them into technical specifications and drive analytics projects.
* Develop reporting, analytics and decision support to enable the organization leaders and teams to create accountability and mechanisms for operational management.
* Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
* Think creatively - we want someone that will extract insights and provide business recommendations.
* Own and maintain on-going analytics tools, BI models and visualizations to increase visibility into key measures of business performance.
* Mine data from database tables (Redshift, Oracle, MySQL, Data Warehouse), manage ETL processes and develop creative BI solutions to support ad hoc requests.
* Design data pipelines where needed for the present and to anticipate future business requirements/insights.
* Actively share knowledge and mentor, at a basic level, new BIE’s (or new to the business) if and where needed.

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.

Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our United States Amazon offices.