Business Data Analyst – Finance & Insights

Euronext Technologies Unipessoal Lda; Porto; On-site; EUR 32,000 - 52,000; Full time

Benefits offered by this job

Flexible career paths

Learning and development

Wellbeing program

Job summary

Euronext is seeking a Business Data Analyst in Porto to join the Statistics and Analytics team. You will transform data into insights, support stakeholders across Euronext, and contribute to analytics solutions that drive growth and operational excellence.

You'll work with SQL, Python and Pandas in environments like Jupyter or VS, with Dataiku and Power BI as advantageous tools. English proficiency is essential, and experience with financial data is highly valued.

Qualifications

• 3 to 5 years of experience in data analytics, business intelligence or a related field.
• Proven experience partnering with business stakeholders to drive decisions using data.
• Experience with financial data in finance/capital markets or data-intensive environments.
• Ability to translate business questions into analytical approaches and present findings clearly.

Responsibilities

• Deliver high-quality statistics, reports, analysis and bespoke studies to support business decisions across Euronext.
• Transform complex data into clear, actionable insights and recommendations for stakeholders.
• Partner with business teams to identify opportunities where data creates value.
• Develop, maintain and improve dashboards, reporting solutions, and self-service analytics tools.
• Support key business processes, including billing activities, with robust controls.
• Work with large datasets from market and business data to answer strategic questions.
• Explore AI-powered tools to improve productivity and analytics capabilities.
• Collaborate with analysts to share knowledge and raise team impact.

Skills

SQL

Python

Pandas

Tools

Dataiku

Power BI

Job description

Euronext is seeking a Business Data Analyst in Porto to join the Statistics and Analytics team. You will transform data into insights, support stakeholders across Euronext, and contribute to analytics solutions that drive growth and operational excellence.

You'll work with SQL, Python and Pandas in environments like Jupyter or VS, with Dataiku and Power BI as advantageous tools. English proficiency is essential, and experience with financial data is highly valued.