Data Analyst

Data Analyst
Setúbal
Setúbal, Setubal, Portugal

We are looking for a Data Analyst to join our team and play a key role in transforming data into actionable insights that drive strategic business decisions.

The ideal candidate will be responsible for collecting, cleaning, analyzing, and interpreting data , as well as designing and maintaining data pipelines using Apache Airflow for extraction, processing, and loading (ETL).

This role requires a mix of technical expertise, analytical thinking, and business acumen to ensure that data is accurate, accessible, and valuable for
- making.

The analyst will collaborate closely with end-users and
- functional teams to deliver reliable insights and impactful data solutions.

This position follows a hybrid work model , with 2 days per week onsite in Lisbon , and requires a minimum English level of B2 .

Main Responsibilities:

• Design, develop, and maintain data pipelines in Apache Airflow for data extraction, processing, and loading.
• Optimize code and SQL queries for performance and scalability.
• Analyze complex datasets to identify trends, anomalies, and opportunities that enhance user experience and anticipate business needs.
• Deliver data insights and visualizations in clear, engaging, and
  - friendly formats.
• Collaborate with business stakeholders to understand requirements , assess the impact of proposed changes, and estimate costs.
• Ensure data accuracy, consistency, and quality across all data processes and systems.

Technical Skills:

• Proficiency in Python (experience in developing APIs is a plus).
• Strong knowledge of Py
  Spark for distributed data processing.
• Advanced SQL skills and experience with Oracle Database .
• Hands-on experience with Data Warehouses .
• Solid understanding and practical experience with Apache Airflow (pipeline development and orchestration).
• Familiarity with Git for version control.
• Experience working in Agile environments .

Soft Skills:

• Strong analytical and
  - solving abilities.
• Attention to detail and data quality.
• Effective communication and collaboration with both technical and
  - technical stakeholders.
• Proactive and curious mindset, with a drive to continuously improve data processes.