Data Analyst
At a glance
Mid-level Data Analysis & BI role at Inetum. Lisbon · full-time · no salary stated · we estimate €40,000–€42,131 across Portugal.
Inetum has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build Airflow pipelines that extract, process and load data, then keep them monitored and stable
- Improve the efficiency of code and queries
- Find patterns, unusual results and opportunities that can improve user experience and everyday work
- Present data in formats users can readily understand and use
- Clarify business changes and requirements, then assess their effects and costs
What you bring
- You have Python experience, including building APIs with Python
- You bring experience with PySpark, SQL, Oracle databases and data warehouses
- You have developed data pipelines with Airflow and used Git
- You can work in English and bring strong analytical and communication skills
Who this fits
This mid-level role suits someone who can turn data into useful insights and collaborate with end-users and other teams. The position is based onsite in Lisbon.
From the employer
Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good. Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility. Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.
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.
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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