Data Analyst

Inetum2

Lisbon, Lisbon, Portugal Hybrid permanent

Posted: May 11, 2026

Quick Summary

Inetum is a global leader in IT services, dedicated to delivering innovative solutions to our clients. We are committed to fostering a dynamic and inclusive work environment that values diversity, where creativity and collaboration can thrive. Our team is seeking a Data Analyst to identify business problems and propose data-driven solutions to support decision-making and growth.

Job Description

Inetum is a global leader in IT services, dedicated to delivering innovative solutions to our clients. We are committed to fostering a dynamic and inclusive work environment that values diversity, where creativity and collaboration can thrive. We are present in 19 countries and have more than 28,000 employees worldwide.

If you are looking for a dynamic, innovative, and technology-driven company, Inetum is the place for you! Come be part of Inetum!

• Identify business problems and propose data-driven solutions to support decision-making and growth
• Retrieve, clean, prepare, and analyze complex datasets from multiple sources
• Design and implement analyses using statistical methods and data models
• Develop reports, dashboards, and visualizations following best practices (Tableau, Power BI)
• Build automated tools and solutions to deliver recurring insights efficiently
• Contribute to data feed industrialization, ETL pipelines, and data warehousing processes
• Translate business requirements into technical specifications for the development team
• Communicate complex analytical results clearly to both technical and non-technical stakeholders
• Collaborate closely with traders, sales teams, business sponsors, and technical teams

• Academic background in Engineering, Economics, Computer Science, Mathematics, Statistics, or a related field
• Professional experience with data visualization tools such as Tableau and/or Power BI
• Professional experience in data analysis using programming languages, preferably Python (Pandas)
• Strong ability to analyze, synthesize, and simplify complex information
• Knowledge of descriptive statistics and hypothesis testing is a plus
• Familiarity with Big Data technologies such as PySpark, Presto, and Airflow is a plus
• Knowledge of Power Query and DAX is a plus
• Fluent in English

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