Amazon

DESCRIPTION

At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.

ABOUT THIS ROLE

As a Business Intelligence Engineer on our Experimentation team, you'll be at the intersection of data and decision-making, helping drive Audible's growth through data-driven experimentation. You'll develop and maintain critical reporting infrastructure that enables teams across Audible to measure the impact of their product and marketing initiatives. Working with our experimentation platform, you'll transform complex test results into clear, actionable insights while ensuring robust measurement methodology and data quality.

ABOUT YOU

You're an analytical storyteller who combines technical expertise with business acumen. You thrive on transforming complex data into clear narratives and are passionate about building scalable reporting solutions. Your natural curiosity drives you to dig deeper into data, understanding not just what happened but why. You're comfortable working independently while collaborating effectively with stakeholders across all levels of the organization.

As a Business Intelligence Engineer, you will...

• Design and maintain experimentation reporting pipelines and dashboards that provide clear insights into test results and program health
• Partner with product and marketing teams to develop measurement strategies and analyze experiment outcomes
• Create and maintain documentation of experimentation processes, metrics definitions, and best practices
• Develop automated solutions for identifying experimental impact across different customer segments and business metrics
• Build and optimize SQL queries and Tableau dashboards to support experimentation reporting needs
• Collaborate with data science and engineering teams to ensure data quality and consistency in experimentation measurement
• Lead training sessions and provide guidance to stakeholders on experimentation methodology and interpretation of results

ABOUT AUDIBLE

Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.

BASIC QUALIFICATIONS

• Bachelor's degree in Statistics, Economics, Computer Science, Engineering or related quantitative field
• 3+ years of experience in analytics, business intelligence, or related technical role
• Proficiency in SQL and experience working with large datasets
• Experience with visualization tools (e.g., Tableau, Power BI)
• Experience in A/B testing or experimental design

PREFERRED QUALIFICATIONS

• Experience with experimentation platforms
• Knowledge of statistical concepts related to A/B testing
• Strong project management and stakeholder communication skills
• Experience with Python for data analysis

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.