About the role

Student Data Analyst role developing automated tests for data quality and BI pipelines in financial services. Collaborating in a hybrid environment with a focus on AI and automation.

Responsibilities

Designing and developing automated tests for data quality and BI pipelines;
Integrating these tests into CI/CD pipelines (DevOps);
Exploring the use of artificial intelligence agents for test generation and anomaly detection;
Collaborating with data analysts and engineers to understand business rules;
Documenting and standardizing automated testing practices.

Currently a student in computer science, data science, artificial intelligence, or a related field.
Recognized for curiosity, rigor, strong communication skills, autonomy, and team spirit.
Interest in DevOps, BI tools, data quality, and artificial intelligence.
Strong programming and data manipulation skills (SQL, Python, or equivalent).
Available to work full-time during the summer and 15 to 20 hours per week during academic terms (daytime schedule, Monday to Friday).

A work environment where learning and development merge with a collective pursuit of excellence.
A healthy, safe, fair, and inclusive environment where potential can be freely expressed and developed.
The possibility to work in a hybrid environment supported by flexibility and access to inspiring, innovative workspaces.
Access to internal training, mentoring, involvement in real projects, flexible schedules adapted to studies, and a rewarding experience for your professional journey.