Data Analyst

Inetum; Lisboa; Presencial; EUR 30 000 - 50 000; Tempo integral

Resumo da oferta

Inetum is seeking a talented data analyst to help identify business problems and propose innovative data-driven solutions. You will work with complex datasets, develop reports, and create visualizations using tools like Tableau and PowerBI. Your role will also involve collaborating with various teams.

The ideal candidate has an academic background in Engineering or related fields, along with strong skills in data visualization and analysis. Join Inetum and help drive growth through data!

Qualificações

• Academic background in Engineering, Economics, Computer Science, Mathematics, Statistics, or a related field.
• Professional experience with data visualization tools such as Tableau and/or PowerBI.
• Professional experience in data analysis using programming languages, preferably Python (Pandas).

Responsabilidades

• Identify business problems and propose data‑driven solutions.
• Retrieve, clean, prepare, and analyze complex datasets.
• Develop reports, dashboards, and visualizations following best practices.

Conhecimentos

Data visualization

Data analysis

Statistical methods

Programming (Python)

Data cleaning

Formação académica

Academic background in Engineering, Economics, Computer Science, Mathematics, or Statistics

Ferramentas

Tableau

PowerBI

Python (Pandas)

Big Data technologies (PySpark, Presto, Airflow)

Descrição da oferta de emprego

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!

Job Description

• 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, PowerBI)
• 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

Qualifications

• Academic background in Engineering, Economics, Computer Science, Mathematics, Statistics, or a related field
• Professional experience with data visualization tools such as Tableau and/or PowerBI
• 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 aplus