Data Analyst

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 decision-making.

The analyst will collaborate closely with

end-users and cross-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 user-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

PySpark

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 problem-solving abilities.

Attention to detail and data quality.

Effective communication and collaboration with both technical and non-technical stakeholders.

Proactive and curious mindset, with a drive to continuously improve data processes.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Consulting

Industries

Software Development

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