Data Analyst - €1.200 - €2.000 A Month

Primeit; Bragança; On-site; EUR 13,000 - 22,000; Full time

Job summary

Primeit in Lisbon and Porto is seeking a mid-level Business Analyst to build data pipelines, extract insights and support strategic decisions. The role focuses on data quality, performance, and translating business needs into data solutions using Python, PySpark and SQL.

You will optimize queries, deliver clear data formats, and collaborate with finance teams to improve reporting. A degree in IT, CS, Finance or Economics and 3–5 years in data analysis in financial contexts are expected;

Qualifications

• 3–5 years of professional experience as Data Analyst in Financial/Reporting Industry.
• Bachelor's degree in IT, CS, Finance or Economics.
• Proficiency in Python, PySpark, SQL and data pipelines.

Responsibilities

• Develop and maintain data pipelines for data extraction, processing and loading.
• Ensure data quality, reliability and performance.
• Analyze data to generate insights, identify trends and opportunities.
• Deliver data in clear formats to support business decisions.
• Translate business requirements into data solutions.

Skills

Python

PySpark

SQL

Git

Excel

Data analysis

Education

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

Tools

Git

Excel

SQL

PySpark

Job description

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.