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Senior Director, Analytics and Decision Science

Audible
Newark, NJ
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 leader of Audible’s Analytics and Decision Science group, you will be responsible for designing and building data products and data strategies. You will drive discussion and decision with our business partners by explaining, predicting, scenarizing, prescribing insight-driven actions with/for both tech and non-tech audiences. You will deliver the right technical solution (analytics- or data-product) to influence, guide and force-multiply (via automation) our business functions, increase their effectiveness and efficiency, and hold them accountable. You will help drive continuous improvement by designing and developing measurement frameworks, and other communications conduits (presentations and documents) to track initiative and business performance, driving focus on results and execution. You will frame hypotheses and potential decisions into a testable structure, and develop robust experimental designs. You will leverage deep cross-functional knowledge to be a trusted strategic and technical advisor across a wide range of issues.

Alternate locations available: This position can also be located in Audible's Berlin or London hubs.

About You

You are able to work with minimal instruction and oversight, conduct multiple high-stake tasks and projects simultaneously, maintain relationships with C-level leaders, and own deliverables end-to-end. You have the ability to think strategically, develop insightful analysis and frame decisions, and communicate findings concisely to senior leaders in your and other organizations.

As a Senior Director, Analytics and Decision Science, you will...

  • Design and lead the development of analytics, decision science, and data products to support Audible strategy and programs. Use causal inference to understand the impact of our activity on business performance
  • Learn and master the intricacies of our economics, understand pain points and opportunities and provide solutions short-term and long-term
  • Develop an in-depth knowledge of all relevant data sources, business intelligence technologies, data science and analytical tools available to maximize their potential. Ensure and own the accuracy, relevance, quality, and impact of the Insights team deliverables
  • Develop a robust network of subject matter experts across various business, analytics, and data science teams. Work closely with your Audible Tech and Business partners and with our leadership (CMO, CPO, CFO) to drive the business forward
  • Communicate perfectly and crisply in both oral and written forms for different levels of audiences (Tech, non-Tech, manager to executive)
  • Develop compelling presentations and documents
  • Lead by example and provide on-going mentorship and guidance to the team and to partners

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

  • Experience in analyzing data to drive decisions
  • 8+ years of relevant experience in the areas of Strategic Analytics, Business Intelligence, Decision Science, or Consulting in a digital environment or in a related field
  • Degree in technology, mathematics or a related field, speaks of a person who is comfortable in data-centric environments
  • Experience in developing data-driven products, and sharing business recommendation and their financial/customer impact with the stakeholders
  • Experience managing challenging assignments with aggressive schedules
  • Experience with programming languages (such as SQL, Python, R, SAS, etc.) and visualization tools (Tableau, Microstrategy, etc.)

Preferred Qualifications

  • Advanced degree, Business (MBA), MS, PhD or equivalent experience
  • Previous experience in large B2C companies a plus
  • Experience working with C-level leaders

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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $178,100/year in our lowest geographic market up to $307,900/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Company - Audible, Inc. - B13

Job ID: A3142873
Posted 2026-01-09

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