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20 часов назад

Data Analyst (Logistics)

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 (Logistics): Building and maintaining KPI reporting infrastructure and predictive models for field operations across nine countries with an accent on operational efficiency and data-driven decision making. Focus on developing AI-powered tools to reduce manual work and translating complex operational datasets into actionable business insights.

Location: Hybrid (Porto or Lisboa, Portugal)

Company

hirify.global is a fast-growing European scale-up providing the world's leading smart locker solution to make online deliveries more sustainable and cost-effective.

What you will do

  • Build and maintain KPI reporting infrastructure across operational markets to ensure data accuracy and consistency.
  • Develop predictive models to support operational planning and decision-making.
  • Contribute to AI-powered tools designed to reduce manual work across field operations teams.
  • Analyze large operational datasets to identify patterns, anomalies, and root causes of performance deviations.
  • Translate complex analytical outputs into clear, actionable insights for operational stakeholders.
  • Collaborate with Operations, Product, and Data Platform teams to align on business logic and data definitions.

Requirements

  • 2-4 years of experience in a data analyst or data scientist role.
  • Strong proficiency in Python, SQL, and Spreadsheets (Excel or Google Sheets).
  • Experience building dashboards or reporting tools using Looker or similar software.
  • Ability to work with messy, real-world operational data and derive reliable outputs.
  • Strong communication skills to explain analytical work to non-technical stakeholders.
  • Strong business acumen and ability to frame analytical problems within an operational context.

Nice to have

  • Hands-on experience with machine learning frameworks.
  • Familiarity with cloud data environments and DevOps practices.
  • Experience in logistics, field services, or other operationally complex industries.

Culture & Benefits

  • Remote-friendly policy and flexible working hours to maintain work-life balance.
  • Performance-based bonus tied to results and individual impact.
  • Portuguese Health Insurance, including mental health coverage.
  • Flexible Sports and Wellness membership covering various gyms and studios.
  • Unlimited days off, subject to manager approval.

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