Sr Business Intelligence Engineer, GSO - Sales Insights, Analytics, Data Engineering & Science (SIAD

Seattle

Description

We are building the next generation of sales products and tools to accelerate growth at AWS. The AWS Sales Insights, Analytics, and Data Engineering & Science (SIADS) team is looking for a Sr Business Intelligence Engineer to support net-new insights products using external intelligence (3P data). You will leverage your exceptional analytical abilities, expertise in business intelligence tools, and passion for data-driven decision-making to drive business impact.

Key job responsibilities

- Architect and develop scalable and resilient data solutions for real-time and batch processing, enabling self-service business intelligence for analytics users.

- Build ETL pipelines, statistical models, and machine learning solutions using large, multidimensional datasets to uncover trends, patterns, and opportunities.

- Collaborate with product managers, engineers, data scientists, and business stakeholders to understand strategies, goals, and objectives, and align the analytics roadmap accordingly.

- Design and implement end-to-end reporting solutions, metrics, dashboards, and automated processes to drive key business decisions and track progress.

- Perform complex analyses to inform product strategy, design, and business priorities, presenting insights and recommendations to senior leadership.

- Continuously improve reporting and processes, automating and scaling solutions while ensuring stability and performance.

- Identify opportunities for new metrics, techniques, and strategies to enhance targeting, measurement, and overall product capabilities.

- Stay up-to-date with industry trends and best practices, contributing to the team's evolution through code reviews, design discussions, and knowledge sharing.

GSO2024

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.

Basic Qualifications

- 5+ years of professional or military experience

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

- 5+ years of SQL experience and experience in scripting for automation (e.g. Python)

- Proficient in the theory and practical application of experimental design, statistical result analysis, 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

- Experience with AWS technologies

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 mazon.jobs/en/disability/us.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 boutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.