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16 часов назад

Data Analyst (AI)

Тип работы
fulltime
Грейд
middle
Английский
c1
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 (AI): Analyzing product usage, retention, conversion, and business metrics for AI-powered developer tools with an accent on SQL, data modeling, and self-serve analytics. Focus on building trusted metric layers and dashboards, evaluating AI feature adoption, and turning complex analyses into clear product recommendations.

Location: Tel-Aviv, Israel

Company

hirify.global builds AI-powered software development tools, including intelligent code review and AI-driven test generation, for developers and engineering teams.

What you will do

  • Drive product analytics for AI features, developer usage, retention, and conversion funnels.
  • Transform product and usage data into consistent, trusted metrics.
  • Build and maintain a modeled data layer for reusable and reliable analysis.
  • Create and maintain self-serve dashboards for internal teams.
  • Conduct deep-dive analyses, support experimentation, and provide product recommendations.
  • Analyze business, operational, customer-value, cost, and unit-economics metrics.

Requirements

  • 3+ years of experience as a Data, Product, Business, or BI Analyst.
  • Strong SQL and data-modeling skills, including independent work with data warehouses.
  • Experience with product analytics or BI tools such as Mixpanel and building self-serve dashboards.
  • Strong communication, analytical storytelling, and business judgment.
  • Ability to work independently in an ambiguous, fast-changing environment.
  • Fluent written and spoken English required.

Nice to have

  • Experience with developer-focused or technical B2B products.
  • Experience using AI tools, prompts, scripts, or small agents to automate analysis workflows.
  • Startup experience and comfort wearing multiple hats.

Culture & Benefits

  • Work in a fast-growing, product-led company.
  • Join a small team with fast iteration and shifting priorities.
  • Help shape analytics practices as the data team grows.

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