Data Analyst – Build Airflow Pipelines & Generate Insights

About the role

As a Data Analyst at Inetum, you will turn raw data into actionable insights that drive business decisions. You will design, build, and maintain robust data pipelines using Apache Airflow, ensuring data is clean, reliable, and readily available for end‑users across the organisation.

Key responsibilities

• Design, develop and schedule data extraction, transformation and loading pipelines in Apache Airflow.
• Optimize code and SQL queries for performance and scalability.
• Analyse data to identify trends, anomalies and opportunities that improve user experience and support daily operations.
• Present data findings in clear, visual formats tailored to business stakeholders.
• Collaborate with product, engineering and business teams to understand changing requirements and assess impact and cost.

Required profile

• Strong analytical mindset with the ability to synthesize detailed data into concise insights.
• Excellent communication skills and a collaborative attitude.
• Fluent English, both written and spoken.

Required skills

• Python programming.
• API development in Python.
• PySpark for large‑scale data processing.
• SQL and Oracle Database expertise.
• Experience with Data Warehouses.
• Apache Airflow pipeline development.
• Version control using Git.