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Director, Product Analytics

Job in Newark, Essex County, New Jersey, 07175, USA
Listing for: Amazon
Full Time position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 143400 - 194000 USD Yearly USD 143400.00 194000.00 YEAR
Job Description & How to Apply Below

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 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 will design, implement, and optimize the reporting processes that deliver critical KPIs and business insights across the organization. Working with loosely defined problems, you will transform complex data into clear, actionable narratives and maintain data governance standards while making insights readily accessible through efficient, self‑service data solutions.

ABOUT

YOU

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). Your in‑depth knowledge of relevant data sources, business intelligence technologies, data science and analytical tools allows you to identify what’s possible, steer direction, and move fast with solutions, adjustments, and recommendations.

You connect the dots, understand system inter‑dependencies and limitations to build efficient solutions, frame hypotheses, decisions, and assumptions into testable structures, work fast, deliver reliably against commitments, and have strong business acumen to speak fluently in partners’ language. You break down complexity, find innovative solutions to cross‑functional problems, and are a team player excited to collaborate with analysts and scientists in the broader 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 a 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 the business.
  • Collaborate effectively with other members of the organization, including 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 technical and non‑technical audiences.
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, passionate about the positive impact we can make for our customers and communities. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and mission to build more equitable communities.

BASIC

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).
PREFERRED QUALIFICATIONS
  • Experience supporting…
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