Drimva

Amazon

Professional Services III - AMZ27006.1

New York, NY · Full-time · Posted Sep 24, 2026

Experience
One year in the job offered or a related occupation with a master’s degree; alternatively, five years of progressive post-baccalaureate experience in the job offered or a related occupation with a bachelor’s degree.
Education
Master’s degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field; alternatively, a bachelor’s degree or foreign equivalent in one of these fields with five years of progressive post-baccalaureate experience as equivalent to the master’s degree and one year of experience.

About the job

Builds data pipelines and analytical frameworks, analyzes advertising performance, and advises advertisers on media strategy and investment optimization.

What you'll do

  • Design and automate ETL pipelines and scalable analytics solutions using cloud, database, and machine-learning platforms.
  • Develop statistical models and Amazon Marketing Cloud query pipelines to analyze advertising and attribution data.
  • Advise advertisers and internal teams on measurement, attribution, and media strategy; provide technical guidance and documentation.

What they ask for

  • One year of experience with SQL, translating technical analysis into actionable insights, applying basic statistical methods, and applying distributions, expectations, hypothesis testing, and A/B testing.
  • Master’s degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field; alternatively, a bachelor’s degree or foreign equivalent in one of these fields and five years of progressive post-baccalaureate experience.

Pay

USD $169000 - $228600 (yr) base salary

Tools

Amazon Web Services, RedShift, Amazon SageMaker, Python, Amazon Marketing Cloud, SQL

AI focus

Builds analytical solutions and frameworks with machine-learning platforms, including Amazon SageMaker.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 6, 2026 (UTC)