Professional Services III - AMZ27006.1
Posted Updated
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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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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