Business Intelligence Engineer II, Advertising Finance Econ and Science
Business Intelligence Engineer II, Advertising Finance Econ and Science
Posted on :
20-05-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Drive the analytics engine behind Amazons fastgrowing Ads business. As the Business Intelligence Engineer on our Economics&Science team youll own the data pipelines and run analysis that reveal where the next wave of growth will come from.
Mission: Equip senior leaders with sciencebacked insights on longterm ad revenue storead interactions and the initiatives that will lead the growth for the next year.
Scope: Design largescale data systems collaborate with economists and data scientists and deliver models that forecast revenue measure program impact and guide business decisions.
Impact: Your work informs strategy for ads businessand your findings are presented directly to VP and SVPlevel stakeholders.
Culture: Highownership experimentationfriendly environment where innovation is encouraged and scientific rigor matters.
Growth: Work with toptier economists data scientists finance managers gain deep exposure to both finance and data science and see your analyses turn into realworld decisions within weeks.
Key job responsibilities
Translate ambiguous business questions into clear analytical requirements. Engage with economists finance leaders and product teams to scope the right data metrics and deliverables for each decision.
Design build and own endtoend data solutions. Develop scalable ETL pipelines dimensional models and automated QA checks that power dashboards selfservice reports and machinelearning features.
Deliver intuitive BI products. Create and maintain AWSQuickSight/Tableau dashboards and adhoc analyses that surface daily performance longterm trends and experiment results to stakeholders across Finance and Product.
Enable science at scale. Provide highquality documented data sets and feature stores that accelerate econometric and forecasting modelsand partner with scientists to productionize their outputs.
Mentor and upskill the org. Act as the senior SME for SQL Python and visualization best practices raising the BI bar through code reviews training sessions and tooling guidance.
Lead deepdive investigations. Dive deep into anomalies or emerging trends quantify root causes and opportunities and driveor supportthe implementation of databacked solutions that improve revenue efficiency or customer experience.
3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
Experience with data visualization using Tableau Quicksight or similar tools
Experience with data modeling warehousing and building ETL pipelines
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
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 largescale complex datasets
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Mission: Equip senior leaders with sciencebacked insights on longterm ad revenue storead interactions and the initiatives that will lead the growth for the next year.
Scope: Design largescale data systems collaborate with economists and data scientists and deliver models that forecast revenue measure program impact and guide business decisions.
Impact: Your work informs strategy for ads businessand your findings are presented directly to VP and SVPlevel stakeholders.
Culture: Highownership experimentationfriendly environment where innovation is encouraged and scientific rigor matters.
Growth: Work with toptier economists data scientists finance managers gain deep exposure to both finance and data science and see your analyses turn into realworld decisions within weeks.
Key job responsibilities
Translate ambiguous business questions into clear analytical requirements. Engage with economists finance leaders and product teams to scope the right data metrics and deliverables for each decision.
Design build and own endtoend data solutions. Develop scalable ETL pipelines dimensional models and automated QA checks that power dashboards selfservice reports and machinelearning features.
Deliver intuitive BI products. Create and maintain AWSQuickSight/Tableau dashboards and adhoc analyses that surface daily performance longterm trends and experiment results to stakeholders across Finance and Product.
Enable science at scale. Provide highquality documented data sets and feature stores that accelerate econometric and forecasting modelsand partner with scientists to productionize their outputs.
Mentor and upskill the org. Act as the senior SME for SQL Python and visualization best practices raising the BI bar through code reviews training sessions and tooling guidance.
Lead deepdive investigations. Dive deep into anomalies or emerging trends quantify root causes and opportunities and driveor supportthe implementation of databacked solutions that improve revenue efficiency or customer experience.
3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
Experience with data visualization using Tableau Quicksight or similar tools
Experience with data modeling warehousing and building ETL pipelines
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
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 largescale complex datasets
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
