Data Analyst

Job offer

This is the job

We are looking for a Data Analyst / Data Scientist to join a dynamic project within the banking sector. In this role, you will work with data to generate insights, validate hypotheses, and build scalable data solutions in an international environment.

This is you

At least 3 years of experience working with data (analysis, data science, or data engineering)
Experience in data mining, including hypothesis formulation and testing, target definition, and performance evaluation (coverage, lift, robustness) just only on side projects, testings previous position, pandas, puspark , polars
Ability to deliver high-quality results, even for routine and repetitive tasks
Hands-on experience with PySpark for ETL and data transformations
Practical knowledge of Pandas or Polars (at least one required)
Experience with Git and version control tools (Bitbucket or GitHub)
Ability to follow best practices for production Python code (Jupyter for exploration, clean .py files for production)
Strong communication skills, with the ability to collaborate with both analysts and business units
Comfortable working in an iterative environment, incorporating feedback
Proactive mindset, able to propose and implement new data-driven hypotheses
Good command of English (written and spoken)

Nice to have:

Solid SQL skills (ability to write queries independently)
Experience in the banking or financial sector (FOP/SME/CORP segments)
Experience with data pipeline orchestration tools (Airflow, Jenkins, Concourse)
Experience in PySpark performance optimization (partitioning, caching, shuffle tuning)
Experience with event detection in data
Knowledge of machine learning and statistics (EDA, feature engineering, validation, leakage)

This is your role

Perform data analysis and data mining to support business decisions
Formulate and validate data-driven hypotheses
Develop and maintain ETL processes using PySpark
Ensure high-quality, production-ready data pipelines and Python code
Collaborate with business and technical stakeholders
Continuously identify opportunities for improvement and innovation