Amazon
Amazon is hiring: Analytics Manager (Paid Media Experimentation) in Newark
Amazon, Newark, NJ, US
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
We are seeking a Data-Driven Analytics Manager to support our paid media analytics function. In this role, you will be responsible for surfacing data-driven strategic opportunities for the Executive Leadership team, with a focus on optimizing our paid media spend globally through advanced experimentation and statistical analysis.ABOUT YOU
You possess strong analytical and problem-solving skills and are willing to work in a collaborative environment with a global team to generate data-driven insights that help address business problems, develop end-to-end analytical solutions, and communicate findings to leadership. You work independently and are always eager to learn new technologies and techniques. You thrive in a dynamic environment and are able to interact with various partners and multi-functional teams to implement data science-driven business solutions. As an Analytics Manager, you will...- Design and execute A/B tests, multivariate experiments, and other analytical studies to uncover insights that can drive continuous improvement in our paid media strategies
- Collaborate closely with the media team to analyze testing data, identify opportunities for optimization, and make data-driven recommendations
- Foster a data-driven culture within the marketing organization, educating teams on analytical techniques and empowering them to make more informed decisions
- Partner cross-functionally with other analytical and business intelligence teams to align on shared metrics and leverage synergies
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 or equivalent practical experience
- 4+ years of relevant professional experience in analytical field (e.g. Analytics, Business Intelligence, Management Consulting, Research), or advanced technical degree in quantitative field with 2+ years of experience, including internship or relevant academic work
- Understanding of experimental design, statistical analysis, and hypothesis testing
- Experience collaborating effectively with teams to successfully plan and execute analytical projects
- Advanced experience with SQL, Python or R
- Experience using GenAI tools
- Master's degree in a relevant quantitative field (e.g. Data Science, Statistics, Mathematics, Operations Research, Computer Science)
- 5+ years of experience in a data analytics or experimental insights role, ideally within a marketing or media environment
- Demonstrated expertise in experimental design, statistical modeling, and data analysis techniques
- Track record of using data to drive tangible business impact and influence key strategic decisions
- Ability to quickly learn new technologies, methods, and analytical approaches
- Familiarity with paid media platforms and associated measurement/reporting capabilities
- Ability to effectively communicate complex analytical findings to both technical and non-technical stakeholders
- Project management skills and experience leading cross-functional initiatives
- Passion for staying up-to-date on the latest analytics trends, tools, and best practices
- Flexible mindset and eagerness to continuously learn and expand skill set
- Communication and presentation skills, with the ability to translate complex insights for diverse audiences, including non-technical stakeholders