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I

Data Analyst

Inetum
๐Ÿ‡ต๐Ÿ‡น Portugal
Hybrid
1 week ago
  • Data Visualization
  • Agile
  • ETL
  • Python
  • SQL
  • Tableau
  • Power BI
  • AI
  • Data Modeling
  • PySpark
  • Airflow
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Inetum is aEuropean 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 includesconsulting, application services, digital engineering, cloud, cybersecurity, platforms, and infrastructure services

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.

  • 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 asPython,SQL,Tableau,Power BI, APIs, and AI-powered chatbot solutions.
  • Ensure data quality, consistency, and accessibility across different platforms and data sources.

ย 

    • Bachelor's degree inEngineering, Economics, Computer Science, Mathematics, Statistics, or a related field.
    • Minimum of2 years of professional experience with Tableau, including dashboard development and data visualization best practices.
    • Professional experience indata analysis and programming, preferably usingPython.
    • Strong analytical and problem-solving skills, with the ability to synthesize complex information into clear and actionable insights.
    • Knowledge ofSQL and data modeling concepts.
    • Understanding ofdescriptive statistics andhypothesis testing is considered a plus.
    • Experience withBig Data technologies, such asPySpark, Presto, and Airflow, is a plus.
    • Experience withPower BI, APIs, or cloud-based data platforms is an advantage.
    • English: Advanced / Fluent (mandatory)

    Data Analyst ยท Inetum

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