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1 день назад

AI Product Data Analyst

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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
AI Product Data Analyst (AI/Product Analytics): Analyze large-scale product usage data and model performance to define KPIs, build semantic layers for Product Agents, and improve feature adoption with an accent on SQL, data modeling, and LLM output evaluation. Focus on designing event tracking, identifying user journey friction, and iterating on prompt engineering and AI feature impact.

Location: IL, Israel; hybrid work

Company

hirify.global provides a data-driven HR platform for modern mid-size and multinational businesses, serving more than 5,500 companies and over 1 million users.

What you will do

  • Translate product usage data into executive-ready dashboards and actionable recommendations.
  • Build and maintain the semantic layer for Product Agents and enable self-service data discovery.
  • Analyze user journeys to identify adoption gaps, friction points, and opportunities for feature growth.
  • Measure roadmap launches and improve AI performance through prompt engineering and model evaluation.
  • Define core KPIs, unify metric definitions, and establish robust event tracking.
  • Use AI-assisted development tools such as Cursor and Claude Code to accelerate analytical workflows.

Requirements

  • 3+ years of experience in product data analytics, preferably in a B2B SaaS environment.
  • Advanced SQL skills and experience analyzing large-scale product usage datasets.
  • Hands-on knowledge of LLM concepts, prompt engineering, output evaluation, or GenAI tools.
  • Experience with BI and data visualization tools such as Tableau or Streamlit.
  • Strong foundation in data modeling, semantic layers, event tracking design, user journeys, and funnel metrics.
  • Strong critical thinking, product and business acumen, ownership, and stakeholder communication skills.

Nice to have

  • Experience with dbt, Git, and data transformation workflows.
  • Familiarity with MCP, database agents, or semantic views.
  • Experience with AI-assisted development tools such as Cursor, Claude Code, or GitHub Copilot.
  • Exposure to advanced LLM workflows, fine-tuning, or structured evaluation frameworks.

Culture & Benefits

  • Hybrid balance between office and home-based work.
  • Equity plan, social contributions, Keren Hishtalmut, and a Wolt meal card worth ₪1,000 per month.
  • Private health insurance, paid sick leave from the first day, wellness programs, and preventive health screenings.
  • Paid time off, additional paid parental leave, quarterly company-wide long weekends, and paid volunteering days.
  • Temporary work-from-anywhere option for up to two months after six months of tenure.
  • Home office allowance, transportation support, pet-friendly office, and professional growth opportunities.

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