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2 месяца назад

Staff Product Data Analyst (Product Analytics)

Формат работы
remote (только Latam)
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

Staff Product Data Analyst (Product Analytics): Leveraging data to drive strategic decision-making and optimize product performance with an accent on actionable insights and KPI development. Focus on designing A/B tests, analyzing user behavior, and partnering with product leadership to influence the product roadmap.

Location: Remote (LATAM)

Company

A digital experience analytics platform that helps companies understand and optimize their customer journeys.

What you will do

  • Identify and establish core KPIs to measure product success and align them with business objectives.
  • Empower product teams with advanced analytical tools and methodologies to foster a data-driven culture.
  • Shape the experimentation strategy by designing A/B tests, validating technical setups, and guiding stakeholders on results.
  • Conduct deep-dive analyses of product performance and user behavior to identify optimization opportunities.
  • Collaborate with Product Researchers to uncover customer journey insights and proactively influence the roadmap.
  • Partner directly with the Director and VP of Product to drive growth and product self-serve conversion.

Requirements

  • Proficiency in statistical analysis, data modeling, and data visualization.
  • Expertise in SQL, DBT, Excel, and Tableau (or similar software).
  • Proven experience as a Data Analyst and a degree in business or engineering.
  • Ability to convey complex data insights clearly to non-technical stakeholders.
  • Experience working in cross-functional environments with PMs, engineers, and designers.
  • Must be based in Latin America (LATAM).

Nice to have

  • Prior experience using the hirify.global platform.
  • Understanding of machine learning concepts and predictive modeling for user behavior.
  • Previous experience in product management or close collaboration with product leaders.

Hiring process

  • The recruitment team may use AI tools to assist in reviewing applications and assessing responses, though final decisions are made by humans.

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