Senior Data Analyst - Hybrid (m/f)
Referencia: JN -**************
Adicionado em **********
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.
Descriçao 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
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