Назад
Company hidden
14 часов назад

Director of Data Analytics (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Director of Data Analytics (AI) (SQL, Python, Databricks, Snowflake): Building Revenue Intelligence infrastructure for a two-sided fashion marketplace, including demand and supply intelligence, inventory health, sell-through, trend cycles, and seller GMV opportunity with an accent on scalable data models, operational dashboards, and AI-powered analytics. Focus on identifying supply gaps, translating buyer behavior into sourcing decisions, productionizing analytics pipelines, and leading a team that drives measurable revenue impact.

Location: Redwood City, California, United States — office-based

Company

hirify.global is a fashion marketplace where a large community buys and sells apparel, accessories, vintage, and luxury items through a social shopping experience.

What you will do

  • Own the Revenue team’s end-to-end analytics infrastructure and establish a single source of truth for demand, inventory health, sell-through, and seller GMV opportunity.
  • Build demand and supply intelligence systems using search acceleration, save behavior, sell-through rates, category liquidity, and marketplace signals.
  • Develop trend-cycle and supply-gap intelligence that supports merchandising, growth marketing, supply partnerships, editorial, paid media, and category development decisions.
  • Create and maintain operational dashboards and decision surfaces for the CRO and Revenue leadership.
  • Integrate GenAI and LLM tools into analytics workflows and begin building an AI-powered Revenue Intelligence Platform.
  • Partner with Merchandising, Growth, Supply Partnerships, Product, and Data Engineering while hiring, mentoring, and developing an analytics team.

Requirements

  • 8–12 years of experience in data analytics, including meaningful experience in consumer marketplaces, e-commerce, fashion, or retail.
  • Proven experience building analytics infrastructure that changes business decision-making and working directly with senior commercial leadership.
  • Experience leading or growing a team of analysts; strong senior individual contributors may also be considered.
  • Expert SQL and strong Python skills for data manipulation, statistical analysis, and pipeline automation.
  • Hands-on experience with Databricks, Snowflake, or equivalent large-scale data environments, plus dbt or similar transformation frameworks.
  • Advanced dashboarding and visualization skills with Looker, Tableau, or equivalent, alongside experience with behavioral event data, funnel analytics, and supply/demand modeling.

Nice to have

  • Experience with two-sided marketplace data, fashion or resale platforms, demand forecasting, inventory planning, or assortment analytics.
  • Familiarity with Segment, mParticle, Hightouch, Salesforce, and behavioral event data pipelines.
  • Experience building AI/LLM-powered analytics systems or data products.
  • Paid media analytics experience across Meta, Google, TikTok, and Pinterest.
  • Knowledge of data governance, A/B testing, statistical significance, and causal inference.

Culture & Benefits

  • Work as the analytical backbone for the Revenue organization and its cross-functional partners.
  • Build systems that are connected, reliable, and used daily across the Revenue team.
  • Promote a data-driven culture through proactive, signal-backed business recommendations.
  • Drive measurable GMV impact through better-timed campaigns, supply-gap closures, and demand-driven seller activation.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →