Advertising Finance BI Engineer — Growth Analytics

Amazon Inc.

New York (NY)

Vor Ort

USD 110.000 - 185.000

Vollzeit

vor 12 Stunden
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Health insurance
401(k) matching
Paid time off
RSUs

Zusammenfassung

Amazon Advertising LLC seeks a Business Intelligence Engineer with strong technical and analytical skills to partner with Advertising Finance. You will own data infrastructure, build insights, and drive decisions across Amazon.com ad programs and stores.

You will collaborate with product, data science, finance, and software teams to translate business questions into analytics projects, delivering scalable data solutions and meaningful metrics for leadership visibility.

Qualifikationen

  • 3+ years analyzing data with data warehouses and BI tools.
  • Experience building ETL pipelines and warehousing solutions.
  • Proficient SQL writing and data visualization skills.
  • Ability to translate business questions into analytics projects.

Aufgaben

  • Design, develop, and maintain scalable data solutions to support long-term strategies.
  • Translate business problems into data questions and deliver actionable answers.
  • Present analytical findings and recommendations to senior leadership.
  • Collaborate across product, finance, and engineering teams to gather data sources.
  • Ensure data integrity, testing, validation, and documentation.
  • Explore new areas across ad programs to support decision making.

Kenntnisse

Data analysis
SQL
Python
R/SAS
Tableau/Quicksight

Tools

AWS Redshift
ETL pipelines
Oracle
NoSQL
Data warehousing

Jobbeschreibung

Amazon Advertising LLC seeks a Business Intelligence Engineer with strong technical and analytical skills to partner with Advertising Finance. You will own data infrastructure, build insights, and drive decisions across Amazon.com ad programs and stores.

You will collaborate with product, data science, finance, and software teams to translate business questions into analytics projects, delivering scalable data solutions and meaningful metrics for leadership visibility.

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