Data Analyst – Strategy & Innovation

Jobtailor; Lisboa; Presencial; EUR 36 000 - 60 000; Tempo integral

Resumo da oferta

Jobtailor in Lisbon, Portugal seeks a Data Analytics Engineer to collect, validate, and organize data from multiple systems, building dashboards and reports for the Strategy & Innovation team.

You will define metrics, collaborate with engineering and operations, promote data governance, and provide data-driven recommendations to improve processes and digital systems.

Qualificações

• 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 Python, SQL and R, with libraries like Pandas, NumPy, Scikit-learn.
• Experience in machine learning, including supervised and unsupervised models, NLP, neural networks and reinforcement learning.
• Knowledge of Data Engineering & Big Data, with 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 Power BI, Tableau and Looker.

Responsabilidades

• 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.

Conhecimentos

Data visualization

Data governance

Analytical thinking

Communication

Problem solving

Collaboration

Formação académica

Bachelor's degree in Computer Engineering, Electrical Engineering, Information Systems & Technologies or related field

Ferramentas

Python

SQL

R

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Spark

Databricks

Hadoop

Kafka

Azure

AWS

Google Cloud

Power BI

Tableau

Looker

Descrição da oferta de emprego

Responsibilities

• 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

• 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.