Sr. Business Intelligence Engineer, Advertising Finance

Amazon; Seattle (WA); On-site; USD 117,000 - 203,000; Full time

Job summary

Amazon seeks a Sr. Business Intelligence Engineer to harness business intelligence skills for its Ads publisher businesses. The role focuses on building insights, maintaining data infrastructure, and collaborating with cross-functional teams to drive growth through data-driven strategies.

Qualifications

• 10+ years of professional experience in analytical roles.
• Experience with large datasets and data cleaning.
• Proficient in scripting (Python) and advanced SQL.

Responsibilities

• Design and maintain scalable data solutions supporting business strategies.
• Translate business questions into data solutions.
• Present findings and recommendations to leadership.

Skills

SQL

Data Extraction

Data Transformation

Communication

Statistical Analysis

Python

Data Science

Machine Learning

Data Mining

Tools

AWS Redshift

AWS S3

Hadoop

Job description

Sr. Business Intelligence Engineer, Advertising Finance

Join to apply for the Sr. Business Intelligence Engineer, Advertising Finance role at Amazon.

Description

Amazon seeks a Senior Business Intelligence Engineer with strong technical, analytical, and business intelligence skills to be a key partner for Amazon’s Advertising businesses.

This role supports multiple ads publisher businesses, including Amazon Stores, Amazon Business Ads, and Books Ads. The engineer will build business insights, analysis practices, and data infrastructure, providing visibility across Ads, Retail, and Finance organizations. The role involves generating insights to guide product and partner strategies, and supporting business strategy for senior leaders.

The Senior BI Engineer will influence business decisions by translating broad problems into analytics projects, conducting deep analyses, and communicating results. The role offers growth opportunities as data is transformed into actionable insights to fuel business growth. The engineer will also evaluate and promote new techniques and tools to improve value delivery.

Key skills include excellent business, communication, and technical abilities, with collaboration across functions like Product Management, Data Engineering, Finance, Software Engineering, Data Science, and leadership. The ideal candidate is a self-starter comfortable with ambiguity, handling large datasets, and working in a fast-paced environment.

Key Responsibilities

• Support new initiatives with end-to-end data ownership and drive growth through insights.
• Address data challenges with comprehensive solutions, strategy, and tools.
• Design and maintain scalable data solutions supporting business strategies.
• Innovate existing data solutions to support business expansion.
• Manage data across publisher ads to maximize efficiency.
• Translate business questions into data solutions.
• Present findings and recommendations to leadership.
• Collaborate with cross-functional teams to gather comprehensive data sources.
• Adopt best practices in reporting, analysis, and documentation.

This role offers exposure to a high-growth business, involving data reinvention, new tools, metrics, and growth opportunities through exploratory analyses.

About The Team

The Advertising Finance team supports various publishers and focuses on revenue growth and profitability through ad supply monetization, product feature adoption, and campaign performance analysis.

Basic Qualifications

• 10+ years of professional or military experience
• 5+ years of SQL experience
• Experience with large data sets, data extraction, transformation, and cleaning
• Knowledge of experiments and statistical analysis
• Experience with AWS technologies
• Proficiency in scripting (e.g., Python) and advanced SQL
• Knowledge of data science, machine learning, and data mining

Preferred Qualifications

• Experience translating business needs into data solutions
• Experience communicating with senior leadership
• Knowledge of cloud storage and computing (AWS Redshift, S3, Hadoop)
• Data warehousing and modeling expertise
• Ability to handle complex, ambiguous business problems

Amazon is an equal opportunity employer. For accommodations, visit this link.

Compensation ranges from $117,300 to $202,800/year, depending on location and experience. Additional benefits and total compensation details are available on Amazon’s careers page.

This position remains open until filled. Applicants should apply via the internal or external career site.