Description

Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 100 fully featured services to millions of active customers around the world—including the fastest-growing startups, largest enterprises, and leading government agencies—to power their infrastructure.

Business Product & Operations (BPO) is a diverse team that supports infrastructure and other foundational initiatives that span and support Sales, Marketing, and Global Services Operations teams within AWS.

We are looking for a hands-on Senior Business Intelligence Engineer with experience developing and delivering analytics portfolio as we build the next iteration of our system. As a Senior Business Intelligence Engineer within the AWS Sales, Marketing, and Global Services (SMGS), you will play a critical role in driving data-driven decision-making and enabling strategic insights across the organization. You will design, develop, and maintain robust business intelligence solutions, leveraging AWS technologies and best practices to empower data-driven decision-making processes.

A successful candidate will have a deep knowledge of business intelligence solutions and possess excellent statistical and analytical abilities, and have the ability to work with technology, product development, and business teams. They will have passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and entrepreneurial environment, and driven by a desire to innovate Amazon’s approach to this space.

Key job responsibilities

• Work closely with Product, Tech, and Operations leaders to define and analyze experiments, including any lessons learned and recommended changes to approach.

• Act as the BIE lead for the team and quickly learn how to solve problems through self-service approaches and establishing relationships with others BIEs across the org .

• Define, measure and present metrics / automated reports on multiple products to senior leadership. Design new and enhance metrics, and continuously automate as needed to focus on highest leverage work.

• Own and develop the mechanisms to prioritize a backlog of work across a variety of stakeholders. Escalate as needed to prioritize the most important work.

• Crisply communicate complex analysis, insights and recommendations to stakeholders and senior leaders verbally and in written artifacts.

• Establish an environment of self-service with stakeholders for simple or repeat requests through continuous development of knowledge bank, dashboards, or other mechanisms.

• Develop other BIEs as a mentor and by contributing to establish a learning environment across the org.

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.

About Sales, Marketing and Global Services (SMGS)

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.

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

Seattle, WA, 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 AWS technologies

• Experience in scripting for automation (e.g. Python) and advanced SQL skills.

Preferred Qualifications

• Master's degree in statistics, data science, or an equivalent quantitative field

• Experience managing, analyzing and communicating results to senior leadership

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

• 8+ years of SQL experience

• Knowledge of data warehousing and data modeling

• Experience with theory and practice of information retrieval, data science, machine learning and data mining

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

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 $104,300/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.