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3 дня назад

Product Analyst (B2B SaaS)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UAE
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Product Analyst (B2B SaaS): Performing deep-dive analyses and building AI-powered analytics workflows for an e-learning platform with an accent on data-informed decision making and metric definition. Focus on scaling analytics using Snowflake and Claude-based AI agents, conducting root cause investigations, and validating product hypotheses.

Location: Hybrid in Dubai

Company

hirify.global is a fast-growing e-learning scale-up focused on empowering teams to create their own training content.

What you will do

  • Run deep-dive analyses and root cause investigations into product and business metrics.
  • Build and maintain dashboards and self-service reporting.
  • 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 success criteria and metrics.
  • Track the adoption and impact of product launches.
  • Validate or challenge product hypotheses with data to help shape the product roadmap.

Requirements

  • 3+ years of experience as a Product Analyst or Data Analyst, ideally in B2B SaaS.
  • Advanced SQL skills, including complex joins, window functions, and query optimization.
  • Strong hands-on experience with Snowflake for querying, modeling, and analytics.
  • Proficiency in Python for data analysis and automation (Pandas, scripting).
  • Experience building dashboards in Power BI (including DAX) and internal tools using Streamlit.
  • Solid understanding of product metrics, funnels, cohort analysis, and user behavior data.

Nice to have

  • Exposure to experimentation and A/B testing.
  • Experience building AI agents or automated workflows on Snowflake (Cortex AI, notebooks) or using Claude.
  • Experience with product analytics platforms such as Mixpanel or Segment.
  • Familiarity with dimensional modeling (star/snowflake schemas) and semi-structured data (JSON).
  • Experience with marketing or revenue analytics and attribution models.

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