Director, Analytics and Decision Science

Director, Analytics and Decision Science

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.

As a leader and individual contributor of Audible’s Analytics and Decision Science group, 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 building 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 advisor across a wide range of issues.

This position can also be located in Audible's Berlin or London hubs.

You are able to work with minimal instruction and oversight, conduct multiple high‑stake tasks and projects simultaneously, and own deliverables end‑to‑end with limited dependencies on the work of others. 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.

• Design and lead hands‑on decision science initiatives that support Audible strategy and programs. Use causal inference methods (experimentation and models) to understand the incremental 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 your deliveries.
• Communicate crisply in both oral and written forms for different levels of audiences (Tech, non‑Tech, manager to executive).
• Develop compelling presentations and documents.

• Experience in analyzing data to drive decisions.
• 5+ 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 Python, R, etc.), SQL and visualization tools (Tableau, Microstrategy, etc.).

• 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.

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 (Use the "Apply for this Job" box below)..

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.

USA, NJ, Newark -  -  USD annually