Remote Data Analytics Officer - Credit Risk Dashboards

Ocupacao; Lisboa; Hybrid; EUR 28,000 - 42,000; Full time

Job summary

BNP Paribas Portugal is seeking a Data Analyst/Engineer to join the MS4U Stress Testing Data Analytics team in Lisbon. You will handle big data pipelines, perform data quality assessments, and build dashboards to support credit risk modelling and regulatory exercises.

The role requires a Master’s in IT/CS, up to 2 years in data analysis/engineering/visualisation, and strong English. You will collaborate with cross-functional teams, ensure data integrity, and document data processes in a

Qualifications

• Master’s degree in IT/CS or related field.
• Up to 2 years of experience in Data Analysis/Engineering/Visualization.
• Advanced level of English (written and spoken).
• Knowledge of data exploration, data preparation, SQL and Python.
• Attention to detail and ability to work under tight deadlines in multidisciplinary teams.

Responsibilities

• Perform data collection and build/maintain data transformation pipelines.
• Work on data ingestion, data quality, data preparation, cleaning and analysis.
• Automate, optimize and document data preparation processes.
• Develop dynamic dashboards to report on key business topics.
• Collaborate with data providers and clients to gather requirements.
• Contribute to regulatory and internal stress testing exercises.

Skills

Master’s degree in IT/CS

Data analysis

Data engineering

Data visualization

Advanced English

Data exploration

Data preparation

SQL

Python

Risk Management

Teamwork

Attention to detail

Time management

Communication

Organisational skills

Education

Master’s Degree in Information Technology or Computer Science

Job description

BNP Paribas Portugal is seeking a Data Analyst/Engineer to join the MS4U Stress Testing Data Analytics team in Lisbon. You will handle big data pipelines, perform data quality assessments, and build dashboards to support credit risk modelling and regulatory exercises.

The role requires a Master’s in IT/CS, up to 2 years in data analysis/engineering/visualisation, and strong English. You will collaborate with cross-functional teams, ensure data integrity, and document data processes in a