Data Analyst

Data Analyst
Lisboa
Lisboa, Lisboa, 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.