Director, Product Analytics

About the role

As Director, Product Analytics, you'll serve as a data-driven decision enabler for our Product leadership team. This role combines deep technical expertise with business acumen to transform complex data into actionable insights that shape product strategy. You'll be responsible for designing, implementing, and optimizing the reporting processes that deliver critical KPIs and business insights across our organization.

Responsibilities

• Define and execute measurement and optimization approaches for Audible’s product organization, identifying relevant data sources and leveraging best practice analytical methodologies, including creating and instrumenting the right KPI framework(s)
• Partner with Product, Engineering, and Business leaders to define success metrics and measurement frameworks
• Lead cross-functional analytics initiatives that directly influence product roadmap and business strategy
• Serve as strategic thought partner to stakeholders in the Product organization, earning trust through insightful analysis and clear communication
• Consistently deliver accurate and insightful analysis, driving high-quality decision making within our business
• Collaborate effectively with other members of our organization, including other analysts, scientists, and economists
• Build and maintain reports, dashboards, and other tools to enable on-demand insights for the business
• Write compelling documents and deliver crisp presentations, translating complex problems into simplified, relevant outputs that can be quickly understood and actioned by both technical and non-technical audiences

Requirements

You are proficient in SQL and Python with demonstrated experience delivering products or prototypes end-to-end (from conception, to design, to specification, to code, to test, to measurement, to presentation). You possess an in-depth knowledge of relevant data sources, business intelligence technologies, data science and analytical tools: you know what’s possible, in which direction to steer, and how to move fast with solutions, adjustments, and recommendations.

Qualifications

• Experience with data analysis tools such as Excel, Pivot Tables, SQL, Tableau, etc.
• 7+ years equivalent relevant experience in a data driven/analytical role or 5+ years with an advanced/technical degree in Analytics, Business, Operations Research, Economics, Mathematics, Statistics, Engineering, Sciences (Political or Natural) or similar field
• Experience running projects across multiple functions with diverse stakeholder groups (cross functional, cross-geo)

Benefits

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

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. 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 here.