Data Analyst

Inetum; Lisboa; Híbrido; EUR 35 000 - 52 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work (50% homeworking)

Resumo da oferta

Inetum is seeking a Data Platform Analyst to design, develop, and maintain data solutions that support Front Office activities. You will build data pipelines, ETL processes, and data warehousing environments to deliver actionable insights.

The role requires 2+ years of Tableau experience, strong Python and SQL skills, and familiarity with BI tools like Power BI. Hybrid work with in-office weeks is offered in Portugal.

Qualificações

• Bachelor's degree in Engineering, Economics, CS, Mathematics, Statistics, or related field.
• Minimum of 2 years of professional experience with Tableau, including dashboard development.
• Experience in data analysis and programming, preferably Python.
• Strong analytical and problem-solving skills with ability to synthesize information into insights.
• Knowledge of SQL and data modeling concepts.
• Big Data technologies such as PySpark, Presto, and Airflow are a plus.
• Experience with Power BI, APIs, or cloud-based data platforms is an advantage.

Responsabilidades

• Design, develop, and maintain data solutions for Front Office activities.
• Build and optimize data pipelines, ETL processes, and data warehousing environments.
• Develop dashboards, reports, and analytical tools to generate actionable business insights.
• Collaborate directly with business sponsors, sales teams, and traders to understand requirements and deliver value.
• Contribute to the evolution of data and analytics technologies, leveraging Python, SQL, Tableau, Power BI, APIs, and AI-powered chatbot solutions.
• Ensure data quality, consistency, and accessibility across different platforms and data sources.

Conhecimentos

Data analysis

Python programming

Analytical thinking

Formação académica

Bachelor's degree in Engineering, Economics, CS, Mathematics, Statistics, or related field

Ferramentas

Tableau

Power BI

SQL

PySpark

Presto

Airflow

APIs

Descrição da oferta de emprego

Company Description

Inetum is a

consulting, application services, digital engineering, cloud, cybersecurity, platforms, and infrastructure services

Job Description

Our mission is to build and maintain robust data platforms by integrating information from multiple sources and transforming it into meaningful insights through analytics, reporting, and data visualization. We work in close partnership with business stakeholders, sales teams, and traders, ensuring agile and impactful delivery of information to support decision-making.

Our mission is to build and maintain robust data platforms by integrating information from multiple sources and transforming it into meaningful insights through analytics, reporting, and data visualization. We work in close partnership with business stakeholders, sales teams, and traders, ensuring agile and impactful delivery of information to support decision-making.

Company Description

Inetum is a European leader in digital services, supporting organizations as they navigate continuous technological change. The company helps clients accelerate their digital transformation through a broad portfolio that includes consulting, application services, digital engineering, cloud, cybersecurity, platforms, and infrastructure services

Key Responsibilities Include

• Design, develop, and maintain data solutions that support Front Office activities.
• Build and optimize data pipelines, ETL processes, and data warehousing environments.
• Develop dashboards, reports, and analytical tools to generate actionable business insights.
• Collaborate directly with business sponsors, sales teams, and traders to understand requirements and deliver value-driven solutions.
• Contribute to the evolution of data and analytics technologies, leveraging tools such as Python, SQL, Tableau, Power BI, APIs, and AI-powered chatbot solutions.
• Ensure data quality, consistency, and accessibility across different platforms and data sources.

Qualifications

• Bachelor's degree in Engineering, Economics, Computer Science, Mathematics, Statistics, or a related field.
• Minimum of 2 years of professional experience with Tableau, including dashboard development and data visualization best practices.
• Professional experience in data analysis and programming, preferably using Python.
• Strong analytical and problem-solving skills, with the ability to synthesize complex information into clear and actionable insights.
• Knowledge of SQL and data modeling concepts.
• Understanding of descriptive statistics and hypothesis testing is considered a plus.
• Experience with Big Data technologies, such as PySpark, Presto, and Airflow, is a plus.
• Experience with Power BI, APIs, or cloud-based data platforms is an advantage.

Language Skills

• English: Advanced / Fluent (mandatory)

Additional Information

Important: Hybrid Work (50% of homeworking per month); First 4 to 8 weeks, 100% in the office (depending on progression).