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
The role will drive data-informed decision making for Audible's Content Discovery product team, transforming complex data into actionable insights that enhance how listeners find their next great listen. The position involves collaborating with product managers, engineers, and designers to optimize discovery experiences that delight our customers and grow our business. Using analytical expertise, the ideal candidate will measure success, identify opportunities, and help shape our content discovery strategy in an evolving audio landscape.
ABOUT YOU
You're passionate about using data to solve customer problems and are energized by the challenge of helping millions find content they'll love. You thrive in fast-paced environments, combining analytical rigor with business acumen to deliver insights that drive product decisions. You're a natural collaborator who can translate technical findings into compelling narratives for diverse audiences.
As a Product Analytics Manager, you will...
- Process and analyze datasets to uncover insights that drive improvements to our content discovery experience
- Build and maintain dashboards that track key metrics across the discovery journey and product features
- Partner with product teams to define success metrics and design experiments that evaluate feature performance
- Communicate data insights clearly to cross-functional teams, from engineers to senior leadership
- Develop custom metrics and models that measure the effectiveness of discovery mechanisms
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.
- Experience executing intermediate to advanced business analysis using multi-layered SQL queries
- Experience building intermediate to complex business models
- Experience distilling large datasets and translating data into actionable insights for a digital media or eCommerce company
- Experience with data visualization software including Tableau
- Experience working with cross-functional teams in an Agile environment
- Experience with recommendation systems, personalization algorithms, or content discovery optimization
- Experience with Python or R for data analysis and machine learning applications
- Experience with A/B testing and statistical analysis methodologies
- Knowledge of user behavior analytics and engagement metrics
- Experience working in audio, publishing, or entertainment industries
- Intellectual curiosity about what creates value for customers in digital content experiences
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
m/w/d
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.