O SC Braga procura um Data Analyst para integrar o Departamento de Dados e colaborar diretamente com a estrutura do futebol profissional. O Departamento de Dados do clube tem vindo a crescer e a consolidar o seu papel no apoio à tomada de decisão em várias áreas — desde a análise de desempenho individual e coletivo até à avaliação de adversários e processos de scouting. Este novo elemento terá um papel ativo no desenvolvimento de soluções analíticas que contribuam para otimizar o rendimento dentro e fora de campo. Valorizamos experiência em análise de dados aplicada ao desporto, domínio de Python, APIs e ferramentas de visualização, bem como curiosidade, rigor e vontade de aprender.
Se gostas de futebol e dados, e queres transformar informação em impacto dentro de campo, este desafio é para ti!
Confere em seguida as “especificações” e contacto para os qual deves submeter a tua candidatura. Boa sorte!
SC Braga is hiring a Data Analyst to support strategic decisions and performance through data insights.
1. Responsibilities
Develop and maintain interactive dashboards to support the technical and tactical analysis of SC Braga’s professional football operations, integrating both team and individual performance metrics.
Produce reports and visualizations that facilitate decision-making by the sporting direction, coaching staff and performance departments.
Integrate, process, and validate data from multiple sources (tracking, GPS, match events, video analysis, technical reports, among others).
Ensure the implementation and promotion of best practices in the collection, structuring, and storage of sports data, guaranteeing consistency and reliability inall analyses.
Contribute to the continuous development of the club’s data ecosystem by proposing improvements to processes, metrics, and analytical tools.
2. Requirements
Proven experience in a professional football environment (clubs, federations, or sports analytics companies) is highly valued.
Strong technical and tactical understanding of the game, with the ability to translate data into actionable insights.
Proficiency in data manipulation and analysis tools (SQL, Python, and/or equivalent).
Solid experience in data visualization and dashboard development (preferably using Tableau or similar tools).
Experience in consuming and integrating data via APIs (e.g., tracking, match events, GPS platforms, etc.).
High analytical rigor and critical thinking in data validation, processing, and interpretation.
Ability to communicate findings clearly and effectively to both technical and nontechnical stakeholders.
Autonomy to manage analytical projects end-to-end, from data collection to the delivery of visual solutions and reports.
Strong collaborative skills within a multidisciplinary environment, working closely with various stakeholders across the first team structure.
