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3 дня назад

Data Analyst (Web3)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
France
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
Data Analyst (Web3): Turning consumer sales, marketing, and web analytics data into actionable revenue, margin, attribution, and customer value insights with an accent on Snowflake/dbt data modeling, Tableau reporting, and performance measurement. Focus on causal inference for pricing and marketing campaigns, reconciling fragmented data sources, and presenting complex analysis to senior stakeholders.

Location: Paris, France; hybrid work with the option to work from home up to three times per week

Company

hirify.global develops hardware wallets and digital asset products that help individuals and companies securely buy, store, swap, grow, and manage crypto assets.

What you will do

  • Own analytics across hirify.global.com e-commerce, Amazon marketplaces, wholesale, and reseller channels, covering revenue, units, margin, sell-in, and sell-out.
  • Develop and improve dbt and Snowflake data models across sales, marketing, web analytics, and other data sources.
  • Build and maintain Tableau dashboards for e-commerce, wholesale, reseller, affiliation, editorial, and shipping performance.
  • Measure performance marketing across Google Ads, Amazon Ads, affiliation, and retargeting, including attribution, ROAS, and CAC.
  • Evaluate pricing, promotional, and marketing campaigns using causal inference, and model customer lifetime value and repurchase behavior.
  • Present complex analyses and actionable recommendations to stakeholders, including ExCom-level audiences.

Requirements

  • 3–4 years of experience in data analytics or analytics engineering.
  • Strong SQL and dbt skills with Snowflake.
  • Python experience for analysis and statistics.
  • Strong Tableau skills.
  • Familiarity with GA4, Google Ads, Amazon Ads, affiliation networks, and marketing analytics data.
  • Fluent English required.

Nice to have

  • Experience with causal inference methods such as CausalImpact, pre-post analysis, control groups, or synthetic groups.
  • Experience with AI tooling, Claude, or LLM-based analytics workflows.

Culture & Benefits

  • Hybrid work policy with up to three work-from-home days per week.
  • Health and life insurance.
  • Shareholder opportunities and other financial benefits depending on the country of work.
  • Commuter allowance.
  • Training and learning solutions with personalized development opportunities.

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