Vie Data Analyst H/F
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VIE Data Analyst H/F
VIE
01/01/2027
Missions
JOB PURPOSE :
We are looking for a motivated Data Analyst with a keen interest in turning data into strategic insights and supporting data-driven decision-making, with a particular focus on Banco Credibom's Human Resources & Logistics Department and on providing data analytics support to the Logistics function.
This is an ideal opportunity for someone looking to a professional career in the HR & Logistics Analytics ecosystem, working on the optimisation of people management processes, logistics efficiency and operational data analysis.
RESPONSIBILITIES :
Data Analysis
Support the collection, processing and analysis of Logistics metrics, including vehicle fleet data, infrastructure consumption and associated cost analysis, and carbon footprint calculations.
Support the optimisation of Human Resources dashboards.
Build and maintain dynamic dashboards and periodic reports in Power BI to support data-driven decision-making by the Bank's management team.
Data Management & Structuring (SQL & Data Lake)
Develop and optimise SQL queries for the extraction, cleansing and modelling of data from multiple systems.
Liaise with and support the use of the corporate Data Lake infrastructure, assisting with the access, organisation and validation of relational and non-relational data sources.
Europe, Portugal
0 - 2 ans
Bachelor's or Master's degree in Engineering, Information Management, Data Science, Statistics, Management, Economics, or a related field.
Genuine interest in developing a career in Human Resources and Logistics.
Strong SQL knowledge, including data extraction, data integration and database manipulation.
Proficiency in Power BI, including the development of interactive reports, data visualisation, and basic data modelling/DAX.
Knowledge of Data Lake architectures is considered an advantage.
Good command of advanced Excel.
Preference given to fluency in Portuguese or fluency in English..
Accuracy, attention to detail and strong analytical skills.
Proactive mindset, intellectual curiosity and willingness to learn.
Strong communication skills and the ability to translate complex data into clear, actionable insights.
High ethical standards and awareness when handling confidential and sensitive data, particularly GDPR and employee data.
Langues
English. Portuguese is a strong advantage
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