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Data Analyst (Product)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
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 (Product): Analyzing product, business, and customer KPIs for a direct-to-consumer digital commerce platform with an accent on usage patterns, monetization, conversion funnels, and customer behavior. Focus on building reliable dashboards, evaluating product experiments, improving data quality, and translating complex datasets into actionable insights for technical and non-technical stakeholders.

Location: Tel Aviv, Israel

Company

hirify.global provides a direct-to-consumer commerce platform that helps app publishers sell digital goods while maintaining control over payments, monetization, and customer relationships.

What you will do

  • Define and own product, business, and customer KPIs across the company.
  • Analyze usage, conversion funnels, monetization, and customer behavior to identify growth opportunities and friction points.
  • Build and maintain dashboards and reports that provide reliable performance visibility.
  • Partner with Product and Business teams to evaluate features, initiatives, and experiments and measure their impact.
  • Deliver customer-facing data solutions, actionable insights, and industry benchmarks.
  • Collaborate with engineering and data stakeholders to improve data quality, structure, and accessibility.

Requirements

  • 4+ years of experience as a Data Analyst or Business Analyst.
  • Strong hands-on SQL experience.
  • Experience with BI and data visualization tools such as Looker, Tableau, Power BI, or Metabase.
  • Experience translating data into clear business insights and recommendations.
  • Experience in gaming or B2C user-centric products, including user behavior analysis, conversion funnels, and feature performance.
  • Strong analytical and communication skills, with the ability to work with large datasets and explain complex findings to different audiences.

Nice to have

  • Experience with Python for data analysis, including pandas or notebooks.
  • Experience with AI-based analytics tools, AI copilots, or LLM-powered analysis.

Culture & Benefits

  • Work in a dynamic, high-growth startup environment.
  • Help foster a data-driven culture and make insights actionable for non-technical stakeholders.
  • Contribute to a platform processing more than a billion dollars annually and serving app publishers at scale.

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