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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data collection, analysis, and visualization, with proficiency in programming languages such as Python and SQL. Capable of collaborating across teams to enhance data governance and drive strategic decision-making through data-driven insights.

Highest-signal resume keywords

Data AnalysisMachine LearningData VisualizationCloud PlatformsData Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLRMachine LearningData AnalysisData EngineeringBig DataData PipelinesData VisualizationMLOps

Tools & Technologies

Power BITableauLookerSparkDatabricksHadoopKafkaAzureAWSGoogle Cloud

Industry Keywords

Data GovernanceInformation SecurityKPIMetricsOperational PerformanceTrends AnalysisContinuous ImprovementDigital SystemsData InterpretationNLP

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.