Pay
$94.4K–$145K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,036 postings in the last year. Stated ranges, not salaries paid.
Business Intelligence Engineer, Advertising Finance
Seattle, Washington, USA
Actively hiring, first seen by us 1 day ago- Pay
Multiple pay amounts — pay source
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, NY, New York - 109,500.00 - 185,000.00 USD annually USA, WA, SEATTLE - 99,500.00 - 160,000.00 USD annually
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: full-time
From the employer’s posting
Before you apply
- Employer’s visa record
- 31,079 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
What you’ll work on
Full postingDesign and maintain scalable data pipelines, reporting, and infrastructure for business strategy
Translate business problems into data questions and find solutions
Present analytical findings and recommendations to business leadership
Explore new ad programs and business areas with deep-dive analyses
Build new metrics and assess the impact of product changes
From the employer’s posting
Design, develop, build, and maintain scalable data solutions, including infrastructure, pipeline, reporting
Translate business problems into data questions, find solutions to solve those questions with resourcefulness
Present analytical findings and recommendations to business leadership
Explore and deep dive into new areas across various ad programs as well as business functions to support business decision making
actively involved in building new metrics, understanding impact of product changes
What you’ll bring
All qualificationsCore experience
- 3+ years analyzing data with Redshift, Oracle, or NoSQL
- Experience writing complex SQL queries
- Data modeling, warehousing, and building ETL pipelines
- Python scripting to process data for modeling
- Visualization with Tableau, Quicksight, or similar tools
Qualification wording
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience writing complex SQL queries
Experience with data modeling, warehousing and building ETL pipelines
scripting experience (Python) to process data for modeling
Experience with data visualization using Tableau, Quicksight, or similar tools
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 13, 20261 day ago
- Recorded sightings
- 3
- Last seen by us
- Nov 15, 2026
- Employer says posted
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 5 and day 43.
From 14,728 similar postings that came down. Coming down is not always a hire.
Amazon is hiring
550 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- MATLAB
- Python
- R
- SAS
- SQL
- AWS
- DynamoDB
- NoSQL
- Redshift
- S3
- Tableau
Where the posting names them
About the team The APM Advertising Finance team supports various publishers, including Stores, Amazon Business, Books, Grocery, Devices, Video, Audio. Our focus is to accelerate top-line revenue and improve profitability by evaluating overall ad supply monetization and utilization, product feature or sales package adoption, campaign performance, and other various product drivers of growth. Basic qualifications - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data modeling, warehousing and building ETL pipelines - Experience writing complex SQL queries - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience with data visualization using Tableau, Quicksight, or similar tools - Knowledge of SQL and data warehousing concepts Preferred qualifications - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets - Experience in understanding and translating ambiguous and complex business problems into data solutions and presenting findings to the leadership
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data modeling, warehousing and building ETL pipelines - Experience writing complex SQL queries - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience with data visualization using Tableau, Quicksight, or similar tools - Knowledge of SQL and data warehousing concepts Preferred qualifications - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets - Experience in understanding and translating ambiguous and complex business problems into data solutions and presenting findings to the leadership Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Your next step
Complete your application on www.amazon.jobs. The employer’s form will show what is required.
Already applied? Track this application
About Amazon
- People
- About 1,207,759 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as AMZN.
- H-1B visas
- 6,217 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
- Layoff notices
- Notices this year and last cover 2,978 people. The latest was filed November 2, 2026.State WARN notices
Demand for Analyst roles
New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
Amazon seeks a Business Intelligence Engineer with strong technical, analytical, and business intelligence skill sets and experience to be a key partner for Amazon's Advertising business focusing on Amazon.com across all ad programs.
This role will be the key contributor on the Advertising Publisher Monetization Finance team, supporting publishers such as Amazon.com, Prime Video, Alexa, Twitch, Fire TV, Audio, Live Sports, PubTech, Amazon Business, and Books Ads. The person will own the Amazon Business Ads landscape initially and evolve into supporting all Stores and Verticals publishers. The person will build out the business insights, analysis practices, and data infrastructure for APM stakeholders, gaining visibility across Ads, Retail, and Finance organizations. The team generates insights to guide product and partner strategy and provides direct business strategy support to senior leaders. We are motivated to improve the overall experience for both our advertisers and shoppers through Ads.
As a key analytics partner, the Business Intelligence Engineer will influence the direction of the business by leveraging our data to deliver insights that drive decisions and actions. This role involves translating broad business problems into specific analytics projects, conducting deep quantitative analyses, and communicating results effectively. We see high potential for growth in this role as we transform our data into actionable insights to continue to fuel the growth of this business. The role will help the organization identify, evaluate, and evangelize new techniques and tools to further improve our ability to deliver value to Amazon's customers.
This role requires an individual with excellent business acumen, communication, and technical skills, enabling collaboration with various functions, including product managers, data engineers, finance managers, software engineers, data scientists, as well as senior leadership. The successful candidate will be a self-starter comfortable with ambiguity, complex datasets, and challenging business problems. The person will demonstrate strong ownership and an ability to work in a fast-paced, ever-changing, and high-energy environment.
Key job responsibilities
Key job responsibilities
Design, develop, build, and maintain scalable data solutions, including infrastructure, pipeline, reporting, to support long-term business strategies
Simplify and re-invent current data solutions to support the business scope expansion
Explore and deep dive into new areas across various ad programs as well as business functions to support business decision making
Translate business problems into data questions, find solutions to solve those questions with resourcefulness
Present analytical findings and recommendations to business leadership
Work cross-functionally with other teams in various job families to gather data sources to provide a comprehensive view of the business, inclusive of supply, demand, sales, operations, shopper, etc.
Recognize and adopt best practices in reporting/analysis: data integrity, test design, analysis, validation, and documentation
This role promises to give exposure to a high growth business. This BIE will be actively involved in building new metrics, understanding impact of product changes, and identifying opportunities for growth through exploratory analyses including use of lightweight statistical techniques. This role provides the opportunity to use emerging technologies such as machine learning to build models and tools used by management for strategic decision making.
About the team
The APM Advertising Finance team supports various publishers, including Stores, Amazon Business, Books, Grocery, Devices, Video, Audio. Our focus is to accelerate top-line revenue and improve profitability by evaluating overall ad supply monetization and utilization, product feature or sales package adoption, campaign performance, and other various product drivers of growth.
- Experience with data modeling, warehousing and building ETL pipelines
- Experience writing complex SQL queries
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Knowledge of SQL and data warehousing concepts
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience in understanding and translating ambiguous and complex business problems into data solutions and presenting findings to the leadership
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.
USA, NY, New York - 109,500.00 - 185,000.00 USD annually
USA, WA, SEATTLE - 99,500.00 - 160,000.00 USD annually
This role will be the key contributor on the Advertising Publisher Monetization Finance team, supporting publishers such as Amazon.com, Prime Video, Alexa, Twitch, Fire TV, Audio, Live Sports, PubTech, Amazon Business, and Books Ads. The person will own the Amazon Business Ads landscape initially and evolve into supporting all Stores and Verticals publishers. The person will build out the business insights, analysis practices, and data infrastructure for APM stakeholders, gaining visibility across Ads, Retail, and Finance organizations. The team generates insights to guide product and partner strategy and provides direct business strategy support to senior leaders. We are motivated to improve the overall experience for both our advertisers and shoppers through Ads.
As a key analytics partner, the Business Intelligence Engineer will influence the direction of the business by leveraging our data to deliver insights that drive decisions and actions. This role involves translating broad business problems into specific analytics projects, conducting deep quantitative analyses, and communicating results effectively. We see high potential for growth in this role as we transform our data into actionable insights to continue to fuel the growth of this business. The role will help the organization identify, evaluate, and evangelize new techniques and tools to further improve our ability to deliver value to Amazon's customers.
This role requires an individual with excellent business acumen, communication, and technical skills, enabling collaboration with various functions, including product managers, data engineers, finance managers, software engineers, data scientists, as well as senior leadership. The successful candidate will be a self-starter comfortable with ambiguity, complex datasets, and challenging business problems. The person will demonstrate strong ownership and an ability to work in a fast-paced, ever-changing, and high-energy environment.
Key job responsibilities
Key job responsibilities
Design, develop, build, and maintain scalable data solutions, including infrastructure, pipeline, reporting, to support long-term business strategies
Simplify and re-invent current data solutions to support the business scope expansion
Explore and deep dive into new areas across various ad programs as well as business functions to support business decision making
Translate business problems into data questions, find solutions to solve those questions with resourcefulness
Present analytical findings and recommendations to business leadership
Work cross-functionally with other teams in various job families to gather data sources to provide a comprehensive view of the business, inclusive of supply, demand, sales, operations, shopper, etc.
Recognize and adopt best practices in reporting/analysis: data integrity, test design, analysis, validation, and documentation
This role promises to give exposure to a high growth business. This BIE will be actively involved in building new metrics, understanding impact of product changes, and identifying opportunities for growth through exploratory analyses including use of lightweight statistical techniques. This role provides the opportunity to use emerging technologies such as machine learning to build models and tools used by management for strategic decision making.
About the team
The APM Advertising Finance team supports various publishers, including Stores, Amazon Business, Books, Grocery, Devices, Video, Audio. Our focus is to accelerate top-line revenue and improve profitability by evaluating overall ad supply monetization and utilization, product feature or sales package adoption, campaign performance, and other various product drivers of growth.
Basic qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data modeling, warehousing and building ETL pipelines
- Experience writing complex SQL queries
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Knowledge of SQL and data warehousing concepts
Preferred qualifications
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience in understanding and translating ambiguous and complex business problems into data solutions and presenting findings to the leadership
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, NY, New York - 109,500.00 - 185,000.00 USD annually
USA, WA, SEATTLE - 99,500.00 - 160,000.00 USD annually
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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, NY, New York - 109,500.00 - 185,000.00 USD annually USA, WA, SEATTLE - 99,500.00 - 160,000.00 USD annually
- Location & working pattern
Seattle, Washington, USA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.