Senior Business Intelligence Engineer, North America Supply Chain Execution Strategy (Fulfillment & Operations)

Amazon; Austin (TX); On-site; USD 130,000 - 176,000; Full time

Job summary

Amazon in Austin is seeking a Senior Business Intelligence Engineer to drive AI-enabled analytics and support executive decision-making. You will define scalable processes, dive into product metrics across business units, and apply business and technical acumen in a fast-paced environment.

You will build AI tools, own automated reporting, and collaborate with Product Managers to shape data and reporting requirements while ensuring data integrity and robust validation.

Qualifications

• Experience programming to extract, transform and clean large (multi-TB) data sets.
• Experience with AWS technologies and data storage/compute tools.
• Experience with theory and practice of information retrieval, data science, ML and data mining.
• Experience using Cloud Storage and Computing tech such as AWS Redshift, S3, Hadoop, etc.
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.
• Experience in the data/BI space and creating AI-based tools for non-technical stakeholders.

Responsibilities

• Design and build AI tools that derive actionable insights from large datasets.
• Own automated solutions for recurrent reporting and analyses including dashboards.
• Improve analytical processes by automating and scaling self-service for customers.
• Collaborate with Product Managers to translate data problems into reporting requirements.
• Ensure data integrity, test design, analysis, validation, and documentation.

Skills

ETL programming

AWS technologies

Python scripting

Advanced SQL

Data/BI experience

AI tooling for stakeholders

Education

Master's degree in statistics or data science

Tools

AWS Redshift

S3

Hadoop

Job description

Senior Business Intelligence Engineer, North America Supply Chain Execution Strategy

Job ID: 10486629 | Amazon.com Services LLC

We are looking for a Senior Business Intelligence Engineer (BIE) to drive the use of AI in analytics with high exposure to executive level business decision making support. In this role you will define and implement scalable processes, diving deep into the product and program metrics globally across multiple business units. You will apply both business and technical acumen in a fast-paced, ambiguous and innovative environment.

Key job responsibilities

• Design and build AI tools that derive actionable insights from some of the world’s largest datasets
• Own the design and development of automated solutions for recurrent reporting and in-depth analyses including learning, publishing, and managing our operational business metrics decks
• Drive continuous improvement of our analytical processes by automating, scaling, and simplifying self-service support for our customers
• Invent new ways to explore our data and work with Product Managers to identify opportunities and transform business problems into defined data and reporting requirements
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

A day in the life

Your day will be a dynamic blend of technical investigation and collaborative problem-solving. You'll dive deep into AI solution performance, translating complex usage metrics into actionable insights that drive meaningful business outcomes. Expect to engage in cross-functional discussions, analyze intricate data patterns, and develop strategies that enhance AI system effectiveness.

About the team

We are a collaborative group of technology and business experts dedicated to pushing the boundaries of AI performance optimization. Our team thrives on innovation, continuous learning, and creating transformative solutions that make a tangible impact across various business domains. We value diverse perspectives and empower team members to contribute unique insights that drive our collective success.

Basic Qualifications

• Experience programming to extract, transform and clean large (multi-TB) data sets
• Experience with AWS technologies
• Experience with theory and practice of information retrieval, data science, machine learning and data mining
• Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.
• Experience in the data/BI space
• Experience creating AI-based tools to be used by non-technical stakeholders

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 working as a BIE in a technology company
• Master's degree in statistics, data science, or an equivalent quantitative field

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

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 working as a BIE in a technology company
• Master's degree in statistics, data science, or an equivalent quantitative field

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

• USA, AZ, Tempe - 130,400.00 - 176,300.00 USD annually
• USA, TN, Nashville - 123,800.00 - 167,500.00 USD annually
• USA, TX, Austin - 130,400.00 - 176,300.00 USD annually
• USA, WA, Bellevue - 130,400.00 - 176,300.00 USD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.