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FCCN

Data Analyst – Strategy & Innovation

FCCN

Data Analyst position at FCCN developing digital services for the educational ecosystem. Responsibilities include data analysis, dashboard creation, and collaboration with cross-functional teams.

Posted 7/3/2026full-timeLisbon • 🇵🇹 PortugalMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureCloudHadoopKafkaNumpyPandasPythonPyTorchScikit-LearnSparkSQLTableauTensorflow

About the role

Key responsibilities & impact
  • Collect, organize and validate data from different systems, ensuring quality, consistency and integrity;
  • Analyze internal technology and operational performance indicators, identifying trends and opportunities for improvement;
  • Build dashboards, reports and visualizations that facilitate data interpretation for the Strategy & Innovation team;
  • Support the Technology Analytics Specialist in defining metrics, KPIs and analysis methodologies;
  • Collaborate with development, operations and infrastructure teams to ensure availability and integration of required data;
  • Participate in defining standards and best practices for data analysis, promoting data governance and information security;
  • Provide data-driven recommendations to guide strategic decisions and continuous improvements in processes and digital systems.

Requirements

What you’ll need
  • Bachelor’s degree in Computer Engineering, Electrical Engineering, Information Systems & Technologies or a related field;
  • Relevant and proven technical professional training is also accepted;
  • Specific training in Data & Analytics or related areas is preferred;
  • Proficiency in programming and data analysis languages such as Python, SQL and R (preferably with libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch);
  • Experience in machine learning, including supervised and unsupervised models, NLP, neural networks and reinforcement learning;
  • Knowledge of Data Engineering & Big Data, with experience in Spark, Databricks, Hadoop, Kafka and data pipelines;
  • Skills with cloud platforms and MLOps (Azure, AWS, Google Cloud) for model deployment and monitoring;
  • Experience in data visualization and communication using tools such as Power BI, Tableau and Looker.

Benefits

Comp & perks
  • Join a young, dynamic team in a relaxed environment where we value closeness and team spirit;
  • Hybrid work arrangement;
  • Ongoing training to support your professional development;
  • Access to a campus with free parking, welcoming facilities and a convenient location in Lisbon;
  • Various internal initiatives to encourage social interaction among colleagues;
  • Possibility to enroll in ADSE;
  • Canteen;
  • Management by objectives.

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Hard Skills & Tools
PythonSQLRMachine LearningData AnalysisData EngineeringBig DataData PipelinesData VisualizationMLOps