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Present in more than 30 countries, BNP Paribas Personal Finance leads the personal and consumer credit business. In some markets we are leaders, and we bet on innovation to open up new opportunities, in others we are a fast growing business. In all markets, we value relationships, knowledge sharing and responsible action
In practice, your day-to-day
In practice, your day-to-day
- As a Senior Data Analyst you will use data analytical and visualization techniques to solve business issues in different geographies:
- Run python-based analytical engines (direct marketing, inbound marketing, web navigation) on a regular basis;
- Collect data (internal & external) and investigate their business value through data analysis and visualization;
- Create and adapt data analysis models and tools;
- Mount, execute and automate ETL processes for extracting data (with python and SQL) to serve analytical needs;
- Develop & improve data quality controls and standardize processes and analyses;
- Ensure high quality of delivery;
- Collect and visualize KPIs on the performance of our in-house models;
- Execute and quantify lean processes;
- Welcome to BNP Paribas Personal Finance, where you will integrate the HUB Analytics Marketing, an innovative and creative department based in Lisbon and Porto. In both locations we offer a hybrid work model.
- You will report hierarchically to the Team Leader. The marketing side of the Hub has 3 mid-sized teams (Data Scientists, Data Analysts and Python developers), working together on complex challenges.
- The team is new and everyone is growing together. You'll be surrounded by more than 30 colleagues working in the same field as you, sharing ideas and experiences.
- We are prepared to welcome you with an initial onboarding plan, with on the job training, online learning and networking opportunities.
- This is a very important topic that we will address together, taking into account your training and experience.
- Do you have…
- A degree in Information Technology, Computer Engineering, Physics, Mathematics, Statistics or a related field;
- Strong programming skills in Python (pandas, etc);
- Practical knowledge in data analysis, applied mathematics, and statistics;
- Fluency in oral and written English;
- Knowledge of relational databases such as vertica, oracle, sqlserver;
- Good skills on collaboration, communication, adaptability, assertiveness and initiative spirit;
- Experience with data visualization tools (Power BI, Tableau Software);
- Between 2 and 3 years of experience;
- Previous experience with marketing topics;
- Interest in continuous learning and new challenges (machine learning, dev);
- Availability for occasional travel in Europe;
- If you bring all this, a lot of desire, energy and good mood, then you are the one we are looking for ...
- We look forward to receiving your application!
- BNP Paribas is an equal opportunity employer that is proud to provide equal employment opportunities to all job seekers. As a socially responsible company, we incorporate the principles of Diversity and Inclusion in our values and practices
- To achieve all our goals, we intend to attract, develop, and retain different profiles, assuming diversity as an enabler and differentiator of innovation, fundamental in our organization
- Top Employer Portugal and Top Employer Europe certification, for the seventh consecutive year
- 92% of our employees identify BNP Paribas as a company with "an inclusive management that supports all kinds of differences (age, origins, sexual orientation ...)"
- 93% of employees identify with and benefit from the "Smart Working" policy, feeling comfortable in a hybrid work environment, and with the digital tools and workspaces available
- 71% of our customers are promoters of our brand
Key Skills
Ranked by relevance
python
data analysis
data visualization
machine learning
power bi
tableau
oracle
pandas
sql
etl
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- Posted
- Oct 27, 2025
- Type
- Full-time
- Level
- Not Applicable
- Location
- Lisboa
- Company
- BNP Paribas Personal Finance
Industries
Banking
Financial Services
Categories
Information Technology
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3 roles aligned with this opportunity
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2026-05-29
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