Sr. Business Intelligence Engineer, Amazon Publisher Monetization, Analytics

Amazon.com, Inc.
Seattle, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 194K

Job location

Seattle, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Business Analytics Applications
Data analysis
Data Files
Data Mining
Data Visualization
Google Analytics
Information Retrieval
Python
Machine Learning
SQL Databases
Tableau
Scripting (Bash/Python/Go/Ruby)
Sql Optimization
Large Language Models
Data Analytics
Functional Programming

Job description

The Amazon Publisher Monetization (APM) team is shaping the future of monetization for Amazon's advertising supported publishers (e.g., Freevee, Twitch). The APM Agentic Insights team builds scalable intelligence that delivers fast, accurate, and actionable insights across Amazon Publisher Monetization (APM).

Driving long-term growth for our ad supported media service requires striking a balance between providing an experience customers will love and creating products that advertisers want to buy (brand safe, relevant audience, etc.). We're looking for a Senior Business Intelligence Engineer to own analytics for APM's Live Events business - a growing area spanning live sports, streaming events, and real-time publisher monetization. You'll partner directly with product, business development, and senior leadership to translate complex data into insights that drive go-to-market strategy and publisher actions.

This isn't a traditional BIE role. You'll leverage LLMs and generative AI to build conversational analytics experiences, architect self-service data tools, and move the team from reactive reporting toward proactive, AI-powered intelligence. You'll operate with high autonomy, owning the end-to-end insight lifecycle from data modeling to executive-ready recommendations - and you'll mentor other BIEs as the team scales.

Key job responsibilities

  • Own end-to-end business intelligence for Live Events, from data modeling through executive-ready insights

  • Build deep monetization domain expertise to proactively surface opportunities the business isn't yet asking about

  • Partner with Product, Business Development, and Executive leadership to translate data into go-to-market strategies and publisher actions with measurable business impact

  • Conduct deep-dive analyses of business problems, formulate recommendations, and present to senior leadership

  • Build and architect AI-powered analytics experiences (conversational agents, prompt-driven interfaces) using LLMs and generative AI

  • Define the analytics roadmap for your business area - identify what to build, what to deprecate, and where AI can replace manual workflows

  • Mentor BIEs and raise the technical bar for analytics quality, tooling, and methodology across the team

  • Design scalable, reusable applications and data models

About the team

The APM Agentic Insights team builds scalable intelligence that delivers fast, accurate, and actionable insights across Amazon Publisher Monetization (APM). We serve business, product, tech, and science teams - replacing manual intake-driven analytics with self-service, AI-powered experiences. Our solutions range from off-the-shelf queries and dynamic dashboards to conversational analytics agents that let stakeholders get answers with a single prompt. Our vision is to be the trusted insights partner for every APM business, driving measurable business impact.

Requirements

Experience working as a BIE in a technology company

  • 5+ years of professional or military experience

  • 5+ years of SQL experience

  • Experience programming to extract, transform and clean large (multi-TB) data sets

  • Experience with AWS technologies

  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.

  • Experience with theory and practice of information retrieval, data science, machine learning and data mining

  • Experience with AI/ML technologies

Preferred Qualifications

  • Experience working directly with business stakeholders to translate between data and business needs

  • Experience managing, analyzing and communicating results to senior leadership

  • Experience with data visualization using Tableau, Quicksight, or similar tools

  • Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2

  • Knowledge of digital advertising or search advertising or analytics solutions (e.g. Google Analytics)

Benefits & conditions

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, NY, New York - 143,400.00 - 194,000.00 USD annually

USA, WA, SEATTLE - 130,400.00 - 176,300.00 USD annually

About the company

Amazon

Apply for this position