Role at a glance
- Job function
-
AI & Data Data Science Data Engineering
- Salary
- Not Disclosed
- Location
- New York, New York, United States
- Work arrangement
- On-site
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Role Summary
The role builds data pipelines and analytical solutions for advertising measurement and performance. It analyzes ad-attributed data and provides measurement guidance to advertisers and analytics teams.
What You'll Do
- Design, build, and automate ETL pipelines to extract, clean, and load large-scale datasets for analytical reports and business...
- Build scalable analytical solutions and frameworks using machine learning platforms and version-control repositories.
- Develop analytical frameworks using Python and statistical modeling methods, including regression, forecasting, probability...
- Create query pipelines in clean-room environments to retrieve, model, and analyze ad-attributed data, and author technical documentation.
- Consult with advertisers on statistical models, attribution analysis, and measurement frameworks to inform media strategy and investment...
- Provide technical guidance on measurement methodologies, attribution frameworks, advertising products, and data engineering infrastructure.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required skills include SQL; translating technical aspects of analysis and metrics into actionable insights; basic statistical techniques and methodologies; and distributions, expectations, hypothesis testing, and A/B testing.
Required
- Knowledge of SQL.
- Experience translating technical aspects of analysis and metrics into actionable insights.
- Understanding of basic statistical techniques and methodologies.
- Understanding of distributions, expectations, hypothesis testing, and A/B testing.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Employer: Amazon Advertising LLC
Position: Professional Services III - AMZ27006.1
Location: New York, NY
Multiple Positions Available:
• Leverage cloud infrastructure and database systems (using Amazon Web Services, RedShift) to design, build, and automate robust ETL data pipelines to extract, clean, and load large-scale datasets, transforming raw data into analytical reports and business recommendations.
• Build modularized, scalable analytical technical solutions and frameworks with machine learning platforms - Amazon SageMaker and utilize version-control repositories to manage code for global scalability.
• Engineer advanced analytical frameworks using Python and statistical modeling methods, including regression analysis, forecasting, probability distributions, A/B testing to analyze business performance and enhance media efficiency.
• Architect and develop data query pipelines within clean-room environments using Amazon Marketing Cloud to retrieve, model, and analyze ad-attributed data, and author technical documentation to drive platform adoption.
• Provide strategic analytical consultations to advertisers by interpreting statistical models, attribution analysis, and measurement frameworks to inform media strategy and optimize investments.
• Serve as a technical Subject Matter Expert (SME) for analytics and insights teams, providing technical guidance on measurement methodologies, attribution frameworks, Amazon Ad products and data engineering infrastructure.
• Domestic travel up to 25% to perform role responsibilities may be required.
(40 hours / week, 8:00am-5:00pm, Salary Range $169000 - $228600)
Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
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related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and five
years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of
experience in the following skill(s): (1) knowledge of SQL; (2) experience translating technical aspects of analysis and metrics into actionable insights; (3) applying understanding of basic
statistical techniques and methodologies; and (4) applying understanding of distributions, expectations, hypothesis testing, and A/B Testing.
The base pay range for this position in New York City is USD $169000 - $228600 (yr). Pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, or other benefits, dependent on the position offered. Applicants should apply via Amazon's internal or external careers site.
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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.
Position: Professional Services III - AMZ27006.1
Location: New York, NY
Multiple Positions Available:
• Leverage cloud infrastructure and database systems (using Amazon Web Services, RedShift) to design, build, and automate robust ETL data pipelines to extract, clean, and load large-scale datasets, transforming raw data into analytical reports and business recommendations.
• Build modularized, scalable analytical technical solutions and frameworks with machine learning platforms - Amazon SageMaker and utilize version-control repositories to manage code for global scalability.
• Engineer advanced analytical frameworks using Python and statistical modeling methods, including regression analysis, forecasting, probability distributions, A/B testing to analyze business performance and enhance media efficiency.
• Architect and develop data query pipelines within clean-room environments using Amazon Marketing Cloud to retrieve, model, and analyze ad-attributed data, and author technical documentation to drive platform adoption.
• Provide strategic analytical consultations to advertisers by interpreting statistical models, attribution analysis, and measurement frameworks to inform media strategy and optimize investments.
• Serve as a technical Subject Matter Expert (SME) for analytics and insights teams, providing technical guidance on measurement methodologies, attribution frameworks, Amazon Ad products and data engineering infrastructure.
• Domestic travel up to 25% to perform role responsibilities may be required.
(40 hours / week, 8:00am-5:00pm, Salary Range $169000 - $228600)
Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
#0000
Basic Qualifications
Master's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and one year of experience in the job offered or arelated occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and five
years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of
experience in the following skill(s): (1) knowledge of SQL; (2) experience translating technical aspects of analysis and metrics into actionable insights; (3) applying understanding of basic
statistical techniques and methodologies; and (4) applying understanding of distributions, expectations, hypothesis testing, and A/B Testing.
The base pay range for this position in New York City is USD $169000 - $228600 (yr). Pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, or other benefits, dependent on the position offered. Applicants should apply via Amazon's internal or external careers site.
#0000
Preferred Qualifications
All applicants must meet all the above listed requirements.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.
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.