Senior Director, Product Analytics

What does the day-to-day look like?

Serve as a primary thought partner to our CPTO — helping shape the product strategy agenda through deep analytical insight, proactive opportunity identification, and a clear point of view on what the data is telling us

Partner with senior leaders across Product and Engineering to set the measurement strategy for Etsy's core buyer and seller experiences

Manage a large, high-performing team of ~30 data scientists and managers supporting Product initiatives

Develop and evolve analytical frameworks, experimentation methodology, and data science techniques to measure and improve product performance — including funnel analysis, A/B testing and causal inference, user segmentation, retention modeling, and feature impact measurement

Define and steward Etsy's product metric frameworks, ensuring teams across Product, Engineering, and Finance share a consistent understanding of how product decisions connect to business outcomes

Partner closely with Finance to model the product contribution that feeds into Etsy's financial forecast — translating product performance signals into the inputs that drive GMS outlook and long-range planning

Partner with Engineering and Data Platform teams to ensure robust instrumentation, data quality, and scalable tooling for product experimentation and analytics

While you'll spend most of your time leading and influencing, you won't just manage from a distance — you're expected to get your own data, do your own analysis, and bring a credible analytical point of view to the most important strategic conversations

Actively identify and surface strategic opportunities across our buyer and seller product portfolio through proactive insight generation

Raise the skill level of our Analytics function through strong practices, processes, and tools, and close mentorship of both direct reports and the broader team

Qualities that will help you thrive in this role are:

10+ years of experience leading analytics initiatives, with significant tenure in product analytics roles and a deep understanding of marketplace dynamics

6+ years leading analytics teams, including managing managers

Deep expertise in product analytics techniques, including experimentation design and analysis, causal inference, funnel and retention analysis, user segmentation, and product metric frameworks

Proven ability to build measurement systems that connect product engagement to business and financial outcomes, including contributing to financial forecasting processes

Comfortable getting your own data — you write SQL, work directly in BigQuery or similar, and don't need an analyst to pull numbers for you when you want to investigate something

Advanced experience with analytics tools including SQL, R/Python; familiarity with modern data stacks (e.g., BigQuery, dbt, Looker)

Passionate about using data to drive product decisions; equally strong analytically and in translating complexity into clear, actionable narratives

Natural collaborator who knows how to drive decision-making through influence across Product, Engineering, and Finance, with a forward-looking and solutions-oriented approach

Inspiring, engaging, and clear communication style; strong executive presence — you're as comfortable presenting to a room of data scientists as you are advising the CPTO

Proven track record of building strong teams through active development and recruiting top talent