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Product Analyst (AI)

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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TL;DR
Product Analyst (AI): Shaping product strategy through large-scale data analysis, experimentation, dashboards, and AI-powered analytical tools with an accent on product metrics, actionable insights, and trustworthy analysis. Focus on designing A/B tests, building self-serve data interfaces and analytical agents, and solving complex product questions through scalable data initiatives.

Location: Tel Aviv, Israel; hybrid schedule with 3 days in-office

Company

hirify.global provides performance advertising technology that helps businesses grow through measurable advertising outcomes at scale, serving advertisers and publishers through its Realize platform.

What you will do

  • Partner with Product Managers, R&D, Engineering, and cross-functional teams to drive product decisions and identify improvement opportunities.
  • Research large datasets, generate conclusions, and translate findings into actionable narratives and product recommendations.
  • Design and analyze A/B tests to optimize product performance and understand user behavior.
  • Develop data models, dashboards, AI tools, skills, and agents that automate analysis and accelerate hypothesis generation and testing.
  • Create self-serve data tools and interfaces so partners can run basic analyses independently while maintaining reliable data standards.
  • Own multiple ongoing and ad-hoc data initiatives and serve as the focal point for data matters in the product domain.

Requirements

  • 3+ years of experience in data analytics, BI, or Product Analytics, including at least one significant role on a product-focused team.
  • Hands-on SQL and BI experience with large datasets and translating findings into product recommendations.
  • Bachelor’s or Master’s degree in Science, Engineering, Statistics, Economics, Mathematics, or a similar analytical field, or equivalent analytical experience.
  • Hands-on experience using AI to automate workflows and build analytical tools or agents.
  • Ability to validate AI-generated output, pressure-test results, and explain the method behind conclusions.
  • Strong product ownership and proactive management of a product domain, including anticipating business needs and adopting evolving data methodologies.

Nice to have

  • Experience with Python, R, or another scripting language.
  • Experience building data products, internal tools, or analytical frameworks adopted beyond the immediate team.

Culture & Benefits

  • Hybrid work schedule with 3 days in-office and the option to come in more often.
  • Comprehensive benefits, including health-related benefits, a stocked kitchen, gym partnerships, parking, and other location-specific perks.
  • Learning and growth alongside experienced colleagues in an inclusive and diverse environment.
  • Employment decisions are based on qualifications, merit, and business need.

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