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2 дня назад

Senior Product Analytics Analyst (Ecommerce)

Формат работы
remote (только Argentina)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Argentina
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 Analytics Analyst (Ecommerce): Driving data-informed decision-making through complex behavioral analyses and the implementation of advanced measurement frameworks with an accent on user retention and experimentation. Focus on designing scalable analytics frameworks, leading A/B testing initiatives, and translating data insights into strategic product recommendations.

Location: Remote within Argentina (Buenos Aires)

Company

A cutting-edge e-commerce company developing products for its own technological platform.

What you will do

  • Lead complex behavioral analyses and deep performance investigations to shape product strategy and optimization.
  • Design and implement advanced measurement frameworks, including cohort, retention, and segmentation analyses.
  • Define and oversee experimentation standards to ensure statistical validity and consistency across A/B testing initiatives.
  • Act as the primary liaison between Product Analytics and Data/BI teams to align on data requirements and taxonomy design.
  • Translate complex analytical findings into clear, strategic recommendations for senior stakeholders and leadership.
  • Mentor and coach other analysts in statistical thinking and professional growth.

Requirements

  • 5+ years of experience in Product Analytics, Data Analytics, or Data Science.
  • Strong proficiency in SQL and experience working with large datasets.
  • Advanced statistical knowledge, including hypothesis testing, regression, and segmentation.
  • Proven experience leading experimentation and A/B testing initiatives.
  • English: B2 level required.
  • Location: Must be based in Argentina.

Nice to have

  • Experience with data warehousing solutions such as BigQuery or Snowflake.
  • Familiarity with Python or R.
  • Experience building data models or exposure to machine learning use cases.
  • Experience working within enterprise environments.

Culture & Benefits

  • 22 days of annual leave and 10 days of public/national holidays.
  • Health insurance options.
  • Access to online learning platforms for professional development.
  • On-site English classes available in some countries.
  • Collaborative and respectful culture that advocates for top talent and professional growth.

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