Data Analyst
This mid-level Data Analyst role at Inetum in Lisbon focuses on building and maintaining Airflow-based data pipelines while collaborating with stakeholders to deliver clear, actionable insights. The position emphasizes hands-on data engineering tasks alongside analytical storytelling to drive business decisions.
Skills required
About this role
Job Description:
The Data Analyst is responsible for collecting, cleaning, analyzing, and interpreting data to provide actionable insights for business decisions. The role involves creating and managing data pipelines using Airflow for data extraction, processing, and loading, ensuring their maintenance, monitoring, and stability. The analyst will work closely with end-users and other teams to provide accessible and reliable data
Main Tasks:
- Responsible for creating data pipelines in Airflow for data extracting, processing and loading
- Responsible for code and query optimization
- Responsible for generating insights and identify trends, anomalies or opportunities to improve users experience and anticipate their daily tasks
- Responsible for delivering data in useful and appealing ways to users
- Responsible for understanding business change and requirement needs, assess the impact and the cost.
Qualifications
Technical Skills:
- Python
- Experience in creating APIs in Python
- PySpark
- SQL, Oracle Data Base
- Experience with Data Warehouses
- Apache Airflow - Experience in pipeline development
- Git
- Agile methodologies
Language Skills:
- English – Practice
Soft Skills:
- Good communication skills
- Strong analytical abilities, able to have the right synthesis and all possible details at same timee required soft skills
- Adaptability skills
- Team spirit
- Client Focus
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