5 дней назад
Manager - Data Analytics & Competitive Intelligence (AI)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Manager - Data Analytics & Competitive Intelligence (AI): Building analytics, competitive intelligence, and AI agent capabilities for a direct-to-consumer e-commerce business with an accent on KPI reporting, market share analysis, pricing, assortment, and experimentation. Focus on combining internal and third-party data, improving data quality and governance, and translating complex findings into executive decisions.
Location: Hybrid role requiring 3 days per week in the NYC office; New York, NY
Company
is an online home and lifestyle retailer with a portfolio of rug and home goods brands, including Annie Selke and nuLOOM.
What you will do
- Lead the analytics and reporting roadmap across marketing, merchandising, operations, finance, and commercial teams.
- Roll out the Sigma analytics and BI platform in partnership with data engineering and business stakeholders.
- Build and maintain KPIs and dashboards covering traffic, conversion, average order value, customer lifetime value, retention, returns, and marketplace performance.
- Own competitive intelligence across the company website, Amazon, Wayfair, Walmart, and other retail partners.
- Analyze assortment, pricing, promotions, demand, markdowns, sell-through, market share, and profitability to support business decisions.
- Design A/B tests, improve data models and pipelines, establish data governance, present insights to executives, and create AI agents for internal teams.
Requirements
- 4+ years of experience in data analytics, ideally in e-commerce, retail, or direct-to-consumer businesses.
- Expert-level SQL and strong experience with Sigma, Tableau, Power BI, or a comparable BI tool.
- Proficiency in Python or R, with experience in forecasting, demand forecasting, profitability analysis, statistics, and experimentation.
- Experience with competitive or market intelligence and estimating market share using third-party and marketplace data.
- Ability to influence senior stakeholders, structure ambiguous questions, and communicate complex findings to non-technical audiences.
- Bachelor’s degree in statistics, economics, mathematics, computer science, or a related quantitative field, or equivalent experience.
Nice to have
- Experience leading a team or managing analysts.
- Experience with Shopify or other e-commerce platforms and marketplaces such as Amazon, Wayfair, or Walmart.
- Familiarity with Yipit, Similarweb, Stackline, or Circana/NPD.
Culture & Benefits
- Work environment focused on healthy work-life balance.
- Benefits package for eligible full-time employees, including medical, dental, vision, PTO, and 401(k).
- Career advancement opportunities across departments.
- Employee discount across the company’s portfolio of brands.
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