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Data Product Manager (Ecommerce)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Portugal
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Data Product Manager (Ecommerce): Supporting the development of data products that drive business insights and decision-making with an accent on delivering reliable, actionable data solutions. Focus on data quality checks, validation, and translating business needs into actionable data initiatives.

Location: Hybrid in Porto, Portugal

Company

hirify.global is a leading global marketplace for the luxury fashion industry connecting customers with over 1,400 of the world’s best brands, boutiques, and department stores.

What you will do

  • Own the roadmap to implement a product strategy, ensuring alignment with business goals.
  • Assist in defining and tracking key metrics to measure product performance and business impact.
  • Create and maintain product roadmaps and documentation.
  • Collaborate with Engineering, Data Science, Analytics, and business teams to deliver reliable data products.
  • Contribute to data quality checks, validation, and reporting.
  • Help translate business needs into actionable data initiatives and insights.

Requirements

  • Experience as a product manager, analyst, or professional with an interest in data products and analytics.
  • Comfortable with SQL, spreadsheets, and basic data analysis, and eager to learn about ETL processes, data modelling, and data pipelines.
  • Strong communicator and collaborator, able to work with cross-functional teams and support stakeholders.
  • Curious, analytical, and motivated to develop into a full Data Product Manager.
  • Organised and detail-oriented, able to manage multiple priorities under guidance.
  • Comfortable learning in ambiguous environments and taking ownership of well-defined tasks.

Nice to have

  • Some experience or coursework in data, analytics, or product management.
  • Familiarity with SQL, data analysis, or visualization tools.
  • Exposure to data pipelines, ETL, or data modeling concepts is a plus.
  • Interest in understanding business impact from data products.
  • Strong collaboration and communication skills.

Culture & Benefits

  • Health insurance for the whole family, flexible working environment and well-being support and tools.
  • Extra days off, sabbatical program and days for you to give back for the community.
  • Training opportunities and free access to Udemy.
  • Flexible benefits program.

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