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1 день назад

Senior Director, Product Analytics

284 000 - 384 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Director, Product Analytics (Product Analytics/Data Science): Leading product measurement and analytics for Etsy’s buyer and seller experiences with an accent on experimentation, causal inference, retention modeling, and product metric frameworks. Focus on building scalable measurement systems, connecting product performance to financial forecasting, and guiding strategic decisions through hands-on analysis and executive-level influence.

Location: Hybrid in the United States, preferably within commutable distance of hirify.global’s Brooklyn office; office attendance is expected once or twice per week. Remote candidates outside commuting distance may be considered case by case, with occasional travel to the office expected.

Salary: Geo-1: $284,000–$384,000 annual; Geo-2: $256,000–$346,000 annual. Additional compensation may include equity and an annual performance bonus.

Company

hirify.global operates a global marketplace for unique and creative goods, building technology that connects entrepreneurs with buyers.

What you will do

  • Lead the team responsible for product measurement, actionable insights, and understanding buyer and seller behavior across the customer journey.
  • Advise the CPTO and senior Product and Engineering leaders on product strategy, opportunity identification, and measurement strategy.
  • Manage approximately 30 data scientists and managers supporting Product initiatives.
  • Develop analytical frameworks and experimentation methods, including funnel analysis, A/B testing, causal inference, user segmentation, retention modeling, and feature impact measurement.
  • Define product metric frameworks and connect product engagement and performance to business outcomes and financial forecasting.
  • Partner with Engineering, Data Platform, Finance, Product, and Marketing to improve instrumentation, data quality, scalable tooling, and decision-making.

Requirements

  • 10+ years of experience leading analytics initiatives, including significant experience in product analytics and a deep understanding of marketplace dynamics.
  • 6+ years of experience leading analytics teams, including managing managers.
  • Deep expertise in experimentation design and analysis, causal inference, funnel and retention analysis, user segmentation, and product metric frameworks.
  • Experience building measurement systems that connect product engagement to business and financial outcomes, including financial forecasting.
  • Ability to write SQL and work directly in BigQuery or a similar tool to retrieve and analyze data independently.
  • Advanced experience with SQL, R, or Python and modern data stacks such as BigQuery, dbt, and Looker.
  • Strong analytical and communication skills, including translating complex findings into clear, actionable narratives and presenting to data scientists and executives.
  • Ability to influence decision-making across Product, Engineering, and Finance with a forward-looking, solutions-oriented approach.
  • Proven record of building strong teams through active development and recruiting top talent.

Culture & Benefits

  • Collaborative work with Product, Marketing, Engineering, Finance, and other partner teams throughout the development lifecycle.
  • Opportunities to develop new analytical skills and techniques.
  • Employee development support, mentorship, and a focus on trust and relationships.
  • Equity package, annual performance bonus, and benefits supporting employees and their families.
  • Inclusive and equitable workplace with reasonable accommodations available during the hiring process.
  • Visa sponsorship may be available, with opportunities limited to certain roles and skills.

Hiring process

  • Submit a resume; a cover letter is optional.
  • Accommodation support is available during any part of the interview or hiring process.

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