Hybrid Data Analyst – Strategy and Innovation

at FCCN

• Job title: Data Analyst – Strategy and Innovation
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Hadoop, Kafka, Numpy, Pandas, Python, PyTorch, Scikit-Learn, Spark, SQL, Tableau, Tensorflow
• Location requirements: Hybrid, Lisbon, Portugal

About the role

• Data Analyst at FCCN developing educational services through analytics and dashboards. Collaborating on data-driven decision-making for the educational ecosystem.

Responsibilities

• Collect, organize, and validate data from multiple systems, ensuring quality, consistency, and integrity;
• Analyze internal technological and operational performance metrics, identifying trends and opportunities for improvement;
• Build dashboards, reports, and visualizations that facilitate data interpretation for the Strategy and Innovation team;
• Support the Technology Analytics Specialist in defining metrics, KPIs, and analytical 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 governance and information security;
• Provide data-driven recommendations to guide strategic decisions and continuous improvements in digital processes and systems.

Requirements

• Bachelor's degree in Computer Engineering, Electrical Engineering, Information Systems and Technologies, or a related field;
• Relevant and proven professional technical training is also accepted;
• Specific training in Data & Analytics or similar fields 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 in 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

• Join a young, dynamic team with a relaxed environment that values collaboration and team spirit;
• Hybrid work arrangement;
• Ongoing training to support your professional development;
• Access to a campus with free parking, welcoming facilities, conveniently located in Lisbon;
• Various internal initiatives to encourage social interaction and team engagement;
• Option to join ADSE (Portuguese public health benefit scheme);
• Canteen;
• Objectives-based management.