14 часов назад
Director of Data Analytics (AI)
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
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.
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