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Data Analyst – Power BI & Automation

Hays · Lisbonne

Novo
Hybrid Junior 🇬🇧 English
Power BI Power Automate Python

Descrição do cargo

About the role

You will join a globally recognised transport and logistics organisation as a Data Analyst within a dynamic Business Intelligence team. The role focuses on turning data into actionable insights that support operations, finance and IT decision‑making.

Key responsibilities

  • Design, develop and maintain interactive Power BI dashboards and reports.
  • Gather, clean and transform data from multiple sources to ensure quality and consistency.
  • Monitor key performance indicators and deliver actionable insights to business stakeholders.
  • Build and optimise data models, dataflows and queries to support reporting needs.
  • Automate recurring processes using Power Automate and Python.
  • Analyse large datasets to identify trends, inefficiencies and improvement opportunities.
  • Collaborate with cross‑functional teams to translate business requirements into technical solutions.
  • Support ongoing enhancement of BI tools and reporting frameworks, ensuring documentation and data‑governance compliance.

Required profile

  • Degree in Data Analytics, Engineering, Computer Science or a related field.
  • 1–2 years of experience in a Data Analyst or BI role.
  • Strong knowledge of Power BI (dashboards, data modelling, Power Query).
  • Experience with Power Automate and Python for data processing and automation.
  • Solid analytical skills and ability to interpret complex data sets.
  • Fluency in English (mandatory); transport or logistics experience is a plus.
  • Problem‑solving mindset and attention to detail.

Required skills

  • Power BI
  • Power Automate
  • Python

What we offer

  • International, fast‑paced environment where data drives business success.
  • Health insurance for employee and children, plus medical assistance at home.
  • Hybrid working model (3 days on‑site, 2 days remote) with flexible hours (07:30‑16:30, Monday‑Friday).
  • Exposure to complex, international data projects and opportunities for professional growth.

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Hays

Lisbonne