Business Intelligence Engineer II, CDR Pillar 1 Strategy and DX
Amazon, Seattle, WA, United States
Business Intelligence Engineer II, CDR Pillar 1 Strategy and DX
Job ID: 10371823 | Amazon Web Services, Inc.
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that keep our customers’ cloud services running reliably and cost‑efficiently. We work on the most challenging supply‑chain problems and are looking for talented people who want to help.
You’ll join a diverse team of software, hardware, network engineers, supply‑chain specialists, security experts, operations managers, and other vital roles across AWS. You’ll collaborate to achieve the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. The culture is inclusive, bold, and empowers you to own projects from conception to completion.
The AWS CDR Pillar 1 Strategy and DX Transformation team is seeking a Business Intelligence Engineer II (BIE) who combines superior analytical abilities, business acumen, curiosity, technical skills, and strong written and verbal communication. Your work will directly influence decisions and strategy for the entire AWS Infrastructure Services organization and its customers.
Key job responsibilities:
Design, develop, and maintain scaled, automated, user‑friendly systems, reports, dashboards, etc., that support business needs.
Apply deep analytical and business‑intelligence skills to extract meaningful insights from large and complex data sets.
Be hands‑on with ETL to build data pipelines that support automated reporting.
Serve as liaison between business and technical teams to provide actionable insights into current performance and to support future improvements or innovations.
Build data visualizations that tell the story of business trends, patterns, and outliers through rich visual analytics.
Recognize and adopt best practices in reporting and analysis, including data integrity, test design, analysis validation, and documentation.
About the team Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, earning the trust of startups to Global 500 companies.
Amazon values diverse experiences. Even if you do not meet all preferred qualifications, we encourage candidates to apply.
We value work‑life harmony and strive for flexibility. Our employee‑led affinity groups foster inclusion, and our mentorship and career‑growth resources help you develop into a well‑rounded professional.
Basic Qualifications
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
Experience with data visualization using Tableau, Quicksight, or similar tools.
Experience with data modeling, warehousing and building ETL pipelines.
Experience with statistical analysis packages such as R, SAS, and Matlab.
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
Preferred Qualifications
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
Experience in data mining, ETL, and working with large‑scale, complex datasets in a business environment.
EEO Statement AWS is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Compensation and Benefits The base salary range for this position is $99,500.00 – $160,000.00 USD annually. Your Amazon package will also include sign‑on payments and restricted stock units (RSUs). Final compensation is determined by experience, qualifications, and location.
Amazon offers comprehensive benefits, including health insurance, dental, vision, prescription, Basic Life & AD&D insurance, optional Supplemental life plans, Employee Assistance Program, 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 .
Location: Seattle, WA, USA.
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AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that keep our customers’ cloud services running reliably and cost‑efficiently. We work on the most challenging supply‑chain problems and are looking for talented people who want to help.
You’ll join a diverse team of software, hardware, network engineers, supply‑chain specialists, security experts, operations managers, and other vital roles across AWS. You’ll collaborate to achieve the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. The culture is inclusive, bold, and empowers you to own projects from conception to completion.
The AWS CDR Pillar 1 Strategy and DX Transformation team is seeking a Business Intelligence Engineer II (BIE) who combines superior analytical abilities, business acumen, curiosity, technical skills, and strong written and verbal communication. Your work will directly influence decisions and strategy for the entire AWS Infrastructure Services organization and its customers.
Key job responsibilities:
Design, develop, and maintain scaled, automated, user‑friendly systems, reports, dashboards, etc., that support business needs.
Apply deep analytical and business‑intelligence skills to extract meaningful insights from large and complex data sets.
Be hands‑on with ETL to build data pipelines that support automated reporting.
Serve as liaison between business and technical teams to provide actionable insights into current performance and to support future improvements or innovations.
Build data visualizations that tell the story of business trends, patterns, and outliers through rich visual analytics.
Recognize and adopt best practices in reporting and analysis, including data integrity, test design, analysis validation, and documentation.
About the team Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, earning the trust of startups to Global 500 companies.
Amazon values diverse experiences. Even if you do not meet all preferred qualifications, we encourage candidates to apply.
We value work‑life harmony and strive for flexibility. Our employee‑led affinity groups foster inclusion, and our mentorship and career‑growth resources help you develop into a well‑rounded professional.
Basic Qualifications
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
Experience with data visualization using Tableau, Quicksight, or similar tools.
Experience with data modeling, warehousing and building ETL pipelines.
Experience with statistical analysis packages such as R, SAS, and Matlab.
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
Preferred Qualifications
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
Experience in data mining, ETL, and working with large‑scale, complex datasets in a business environment.
EEO Statement AWS is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Compensation and Benefits The base salary range for this position is $99,500.00 – $160,000.00 USD annually. Your Amazon package will also include sign‑on payments and restricted stock units (RSUs). Final compensation is determined by experience, qualifications, and location.
Amazon offers comprehensive benefits, including health insurance, dental, vision, prescription, Basic Life & AD&D insurance, optional Supplemental life plans, Employee Assistance Program, 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 .
Location: Seattle, WA, USA.
#J-18808-Ljbffr