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21 час назад

Senior Product Analyst (Reputation)

Формат работы
remote
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Product Analyst (Product Analytics): Defining success metrics and building measurement frameworks for reputation and trust-related product areas with an accent on behavioral measurement and experimentation. Focus on designing A/B tests, applying causal inference methods, and delivering actionable insights to optimize marketplace trust.

Location: Remote (Latin America)

Company

hirify.global is the world’s work marketplace, connecting companies and talent through a trust-driven platform.

What you will do

  • Define and maintain product success metrics and KPI frameworks for reputation and trust-related product areas.
  • Build measurement strategies that connect product changes to user behavior and business outcomes.
  • Design, execute, and analyze experiments (A/B tests and quasi-experiments) using causal inference methods.
  • Develop and maintain dashboards and reporting to monitor product health and strategic goals.
  • Partner with cross-functional teams to improve data instrumentation and ensure dataset reliability.
  • Conduct deep-dive analyses to uncover user behavior insights and growth opportunities.

Requirements

  • Proven ability to lead end-to-end analytics projects from problem definition to actionable insights.
  • Strong SQL skills and experience working with large, complex datasets.
  • Expertise in metrics design, KPI development, and measurement strategy.
  • Experience with experimentation methodologies (A/B testing) and causal inference techniques.
  • Proficiency with BI tools (Looker or Tableau) and Python or R for analysis.
  • Must be based in Latin America.

Culture & Benefits

  • Opportunity to work on complex behavioral measurement and data-driven decision-making challenges.
  • Collaborative environment partnering with Product, Engineering, Design, and Data Science teams.
  • Inclusive and diverse workforce commitment.
  • Engagement through a global Contingent Workforce (CW) team.

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