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обновлено 2 дня назад

Product Analyst (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Egypt
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
Product Analyst (AI): Analyzing product and business metrics and building self-service analytics for an e-learning SaaS product with an accent on root cause investigations, product adoption, and AI-powered analytics workflows. Focus on designing metrics and success criteria, validating product hypotheses, and turning ambiguous business questions into clear recommendations.

Location: Alexandria; hybrid

Company

hirify.global is a fast-growing e-learning scale-up developing a B2B SaaS product.

What you will do

  • Run deep-dive analyses and root-cause investigations into product and business metrics.
  • Build and maintain dashboards, self-service reporting, and analytics tools.
  • Scale analytics through AI-powered tools, including AI agents built on Snowflake and Claude-based workflows.
  • Partner with Product, Engineering, and Business stakeholders to define metrics and success criteria.
  • Track product-launch adoption and impact, and validate or challenge product hypotheses with data.

Requirements

  • 3+ years of experience as a Product Analyst, Data Analyst, or similar, ideally in B2B SaaS.
  • Advanced SQL skills, including complex joins, window functions, and query optimization on large datasets.
  • Strong hands-on experience with Snowflake for querying, modeling, and analytics workflows.
  • Proficiency in Python for data analysis and automation, including Pandas, data wrangling, and scripting.
  • Experience building dashboards and reports in Power BI, including data modeling and DAX.
  • Experience building analytics apps or internal tools using Streamlit.
  • Ability to turn ambiguous business questions into structured analysis and clear recommendations.
  • Experience running root-cause analyses and communicating findings to stakeholders.
  • Understanding of product metrics, funnels, cohort analysis, and user behavior data, plus strong data storytelling, data quality awareness, ownership, problem-solving, and attention to detail.

Nice to have

  • Exposure to experimentation and A/B testing.
  • Experience building AI agents or automated analytics workflows on Snowflake, including Cortex AI or Snowflake notebooks.
  • Experience using Claude or similar AI assistants for analytics work, including MD-based skills/prompts and agent workflows.
  • Experience with product analytics platforms such as Mixpanel or Segment.
  • Familiarity with marketing or revenue analytics and attribution models.
  • Experience with dimensional modeling and modern data warehouse concepts, including star and snowflake schemas.
  • Experience working with semi-structured data such as JSON.

Culture & Benefits

  • Hybrid work arrangement in Alexandria.
  • Collaboration with Product, Engineering, and Business teams.
  • Opportunity to use AI-powered tools to scale analytics and support data-informed decisions.

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