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Product Data Analyst

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR

Product Data Analyst (SaaS): Analyzing user behavior and product performance for a no-code business app builder with an accent on identifying trends, bottlenecks, and opportunities for optimization. Focus on leveraging predictive analytics, conducting A/B testing, and providing actionable insights for data-driven product strategy.

Location: Remote

Salary: Competitive salary

Company

hirify.global is a leading no-code business app builder that empowers organizations to create custom admin panels and CRM tools.

What you will do

  • Analyze user behavior and feature usage to identify trends, bottlenecks, and optimization opportunities.
  • Provide actionable insights to enhance product adoption, engagement, and retention.
  • Develop and track KPIs (e.g., MAU, DAU, churn rate) and deliver regular performance reports.
  • Collaborate with Product Managers, UX Designers, and Engineers for data-driven feature prioritization.
  • Conduct A/B testing and leverage predictive analytics to forecast user trends.
  • Segment users based on behavior and demographics to support marketing and sales teams.

Requirements

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  • 2–4 years of experience in product data analytics, preferably in a SaaS B2B environment.
  • Strong proficiency in SQL, with hands-on experience in PostgreSQL.
  • Experience using product analytics platforms such as Amplitude.
  • Familiarity with Segment for managing customer data pipelines.
  • Excellent communication and presentation skills to deliver insights effectively to non-technical stakeholders.

Nice to have

  • Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
  • Proficiency in Python or R for advanced data analysis.
  • Familiarity with statistical methods, including regression analysis, hypothesis testing, and predictive modeling.
  • Knowledge of SaaS metrics (e.g., LTV, CAC, ARR).
  • Experience in A/B testing design and analysis.

Culture & Benefits

  • Professional and career development, including mentor and training courses at company expense.
  • Work in an international company with users around the world.
  • Opportunity to join a company that is a graduate of Y Combinator.

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