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Senior Data Analyst - Hybrid (M/F)

Michael Page Portugal

27.04.2026 | Porto | Referência: 2424802


  PARTILHAR






Senior Data Analyst - Hybrid  (m/f)

Referencia: JN -042026-7004147
Adicionado em 27.04.2026
Sobre os nossos clientes
Our client is a global corporation focused in integrated facilities management, operating across 45 countries with a workforce of over 426,000 employees. It delivers fresh, responsible food solutions and high-quality facility services while prioritizing sustainability, diversity, and improving quality of life for the people and communities it serves.

Descriçăo da oferta

We are seeking a Senior Data Analyst to join the team based in Matosinhos. The role involves analyzing complex datasets to support data-driven decisions and improve operational efficiency.

Description

  • Analyze large and complex datasets to identify trends, patterns, and actionable insights.
  • Develop and maintain dashboards and reporting tools to support decision-making processes.
  • Collaborate with cross-functional teams to gather data requirements and ensure data accuracy.
  • Perform statistical analyses and predictive modeling to address business challenges.
  • Monitor key performance indicators (KPIs) and provide insights for continuous improvement.
  • Document data analysis processes and ensure compliance with data governance standards.
  • Support data migration and integration projects to streamline operations.
  • Stay updated on industry trends and recommend innovative data solutions.

Profile

  • Bachelor's or Master's degree in data analytics, engineering, computer science, statistics, mathematics or a related field.
  • 5-8 years of proven experience in data analytics, including the development of analytical models, dashboards, and insight-driven reporting.
  • Experience in internal audit, external audit, risk, internal control, or compliance environments is a plus.
  • Exposure to project-based analytical work or cross-functional initiatives.
  • Strong analytical skills with the ability to interpret complex datasets and translate them into actionable audit and business insights.
  • Solid technical skills in SQL; experience with scripting languages such as Python.
  • Strong experience with analytics and BI platforms and data access solutions.
  • Familiarity with advanced analytics and AI/machine learning concepts as applied to data analysis.
  • Good understanding of data quality, data validation, and data lifecycle management.
  • Ability to work effectively in a multicultural, international environment.
  • Fluent written and spoken English.

Job Offer

  • Permanent contract with opportunities for professional growth.
  • Collaborative work environment in the Financial Services sector.


O que procuramos
data, analyst, engineer, advance analytics
Contacto da Michael Page
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