Data Analyst

Role Overview

Join Editus as a Data Analyst and be part of a collaborative and data-oriented company that puts data at the heart of its operations. Analyze data, model business indicators, and design data models adapted to identified indicators.

What You Will Do

Responsibilities include analyzing data, exploring and analyzing existing data sets, evaluating data quality, and translating business problems into analyses and usable indicators.

Why It Might Be a Fit

The ideal candidate will have excellent mastery of Python and its data libraries, advanced knowledge of PySpark, and experience in data modeling and indicator creation.

Requirements

• Excellent mastery of Python and its data libraries (pandas, numpy, matplotlib, scikit-learn, etc.)
• Advanced knowledge of PySpark for distributed processing
• Good practice of visualization and analysis tools (Hue, Zeppelin, Power BI or equivalent)
• Experience in data modeling and indicator creation
• Knowledge of automated treatment workflows (Airflow desired)
• Understanding of CI/CD environments, data backend, and cloud platform management
• Sensitivity to data quality, governance, and security issues
• Containerization (Docker) and reproducible environments
• Knowledge of CI/CD under Azure DevOps
• Orchestration of workflows with Airflow
• Conception and evaluation of systems based on language models (prompting structured, semantic layer, evaluation games, drift measurement)
• Strong analytical and synthesizing capacity
• Critical spirit, intellectual rigor
• Curiosity for data and its hidden potential
• Pedagogy and ability to vulgarize complex results
• Innovative spirit and taste for experimentation
• Teamwork and good communication with technical and business stakeholders

Tagged as: Data Analysis