Data Analyst

Jobbex IT; Lisboa; Presencial; EUR 28 000 - 42 000; Tempo integral

Resumo da oferta

Jobbex IT is seeking a Data Analyst to join one of our clients in Portugal. You will work with data to derive insights and support decision making. The ideal candidate is proficient in SQL, Power BI and Python, comfortable with large datasets, and capable of collaborating with cross-functional teams.

Knowledge of R is a plus. Experience with data visualization, data wrangling, and statistical thinking is valued.

Qualificações

• Strong analytical mindset with problem-solving skills.
• Proficient in SQL, Power BI, and Python.
• Comfortable working with large datasets and various data sources.
• Knowledge of R or similar tools is a plus.
• Detail-oriented, proactive, and collaborative.

Responsabilidades

• Strong analytical mindset with problem-solving skills.
• Proficient in SQL, Power BI, and Python.
• Comfortable working with large datasets and various data sources.
• Knowledge of R or similar tools is a plus.
• Detail-oriented, proactive, and collaborative.

Conhecimentos

SQL

Power BI

Python

R

Descrição da oferta de emprego

Jobbex IT, a company that empowers people and organizations by matching great talent with great projects, is looking for the nextData Analyst to join one of our clients.

If you feel inspired to make a change and if you want to be part of the cool kid on the block, this opportunity is for you!

Be ready to find at Jobbex Portugal the transparent, friendly, and professional work environment you have been looking for.

What you'll be doing:

• Strong analytical mindset with problem-solving skills.
• Proficient in SQL, Power BI, and Python.
• Comfortable working with large datasets and various data sources.
• Knowledge of R or similar tools is a plus.
• Detail-oriented, proactive, and collaborative.

You'll be a great match if you have;

• Strong analytical mindset with problem-solving skills.
• Proficient in SQL, Power BI, and Python.
• Comfortable working with large datasets and various data sources.
• Knowledge of R or similar tools is a plus.
• Detail-oriented, proactive, and collaborative.