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1 день назад

Data Analyst (GCP, Python)

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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Описание вакансии

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TL;DR

Data Analyst (GCP/Python): Transforming complex datasets into actionable insights and building scalable analytics solutions for a global luxury fashion marketplace with an accent on automation and AI-enabled initiatives. Focus on developing data pipelines, optimizing SQL queries, and designing reporting frameworks to support strategic decision-making.

Location: Hybrid in Porto, Portugal

Company

hirify.global is a leading global marketplace for the luxury fashion industry, connecting customers and brands worldwide.

What you will do

  • Analyze large and complex datasets using Google BigQuery to identify trends and business opportunities.
  • Develop scalable data pipelines and automated reporting solutions using Python and Airflow.
  • Design and maintain dashboards, KPIs, and self-service reporting solutions via Looker.
  • Collaborate with engineering, product, and operations teams to enable data-driven decision-making.
  • Perform data validation, quality checks, and root-cause analysis to ensure data integrity.
  • Optimize SQL queries and improve the performance of large-scale data transformations.

Requirements

  • Bachelor’s degree in Data Analytics, Computer Science, Statistics, Mathematics, or Engineering.
  • 3+ years of experience in data analytics, business intelligence, or analytics engineering roles.
  • Advanced proficiency in Python for data analysis and automation.
  • Strong SQL skills and experience with large-scale relational and analytical databases.
  • Hands-on experience with GCP, specifically BigQuery and Looker.
  • English proficiency is mandatory.

Nice to have

  • Exposure to Data Science and Machine Learning concepts, including predictive modeling.
  • Familiarity with modern AI, NLP, LLMs, and deep learning frameworks (TensorFlow, PyTorch).
  • Knowledge of machine learning libraries such as Scikit-learn.
  • Experience working in Agile environments using Jira and Confluence.

Culture & Benefits

  • Health insurance for the whole family and well-being support tools.
  • Flexible working environment and flexible benefits program.
  • Extra days off and a sabbatical program.
  • Opportunities for professional training and community give-back days.

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