Data Analyst - €1.200 - €2.000 A Month

Primeit; Viana do Castelo; Sur place; EUR 13 000 - 22 000; Plein temps

Résumé du poste

Primeit is seeking a mid-level Business Analyst to join our data-focused team in Lisbon or Porto. You will develop and maintain data pipelines, ensuring data quality and performance, and translate business requirements into actionable data solutions.

You will analyze data to identify trends and generate insights, delivering clear results to support strategic decisions. Proficiency in SQL, PySpark and Python is required, with strong Excel skills and familiarity with the banking/finance sector

Qualifications

• Bachelor's degree in Information Technology, Computer Science, Finance or Economics.

Responsabilités

• Develop and maintain data pipelines for data extraction, processing and loading, ensuring data quality, reliability and performance.
• Responsible for code and query optimization.
• Analyze data to generate insights, identify trends, anomalies and improvement opportunities.
• Deliver data in clear and useful formats to support business decision-making.
• Understand business requirements, assess impact and cost, and translate them into data solutions.

Connaissances

Data pipelines

Data analysis

Data processing

Python

PySpark

SQL

Git

Excel

Formation

Bachelor's degree in Information Technology, Computer Science, Finance or Economics

Outils

Pyton

PySpark

SQL

Git

Excel

Description du poste

Did you know that the average reading time for a job advertisement is only 30 seconds? Let's use them well: 18 years of experience. 2,360 employees. 20 offices and 2 Talent Hubs. 10 internal programmes designed with you in mind.We are looking for a Business Analyst! Location: Lisbon | Porto Level of Experience: Mid (3 to 6 years) Salary Package & Benefits: €1,200 to €2,000 (salary base) + Food Allowance + Flex Benefits

Main tasks and responsibilities:

• Develop and maintain data pipelines for data extraction, processing and loading, esuiring data quality, reliability and performance.
• Responsible for code and query optimization.
• Analyze data to generate insights, identify trends, anomalies and improvement opportunities.
• Deliver data in clear and useful formats to support business decision-making.
• Understand business requirements, assess impact and cost, and translate them into data solutions.

Technical Skills:

• Bachelor's degree in Information Technology, Computer Science, Finance or Economics.
• Relevant professional experience as Data Analyst in Financial/Reporting Industry (3 – 5 years).
• Pyton.
• PySpark.
• SQL.
• Git.
• Excel.
• Good overall IT knowledge.
• Knowledge of Banking / Finance industry.