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Euronext

Pan-European exchange providing markets, data, post-trade

Data Analyst

Data AnalysisConfirmed live in the last 24 hours
Full-timePorto, PortugalNo salary listedIn-person

About the Job

Requirements

  • Have 3 to 5 years of experience in data analytics, business intelligence, or a related field.
  • Have proven experience partnering directly with business stakeholders and supporting decision-making through data-driven insights.
  • Have experience working with financial data, ideally within financial services, capital markets, or a comparable data-intensive environment.
  • Be able to translate business questions into analytical approaches and communicate findings effectively to technical and non-technical audiences.
  • Have experience designing, developing, or maintaining reporting solutions, dashboards, and self-service analytics tools.
  • Have experience working with large and diverse datasets while ensuring high standards of data quality and reliability.
  • Have strong hands-on experience with SQL.
  • Have strong hands-on experience with Python and the Pandas data analytics library, including development environments such as Jupyter Notebooks or Visual Studio.
  • Have excellent written and spoken English, as the role involves daily interaction with people across Europe.

Responsibilities

  • Deliver statistics, reports, analysis, and bespoke studies that support business decisions across Euronext.
  • Transform complex data into clear, actionable insights and recommendations for stakeholders.
  • Partner with business teams to understand their challenges and identify opportunities where data can create value.
  • Develop, maintain, and improve dashboards, reporting solutions, and self-service analytics tools.
  • Support key business processes, including billing activities, ensuring robust controls and auditability.
  • Work with large and diverse datasets, including market and business data, to answer strategic and operational questions.
  • Explore and leverage AI-powered and emerging technologies to improve productivity, enhance analytics capabilities, and develop innovative services.
  • Collaborate with fellow analysts to share knowledge, challenge assumptions, and continuously improve the team's standards and impact.
  • Automate processes, enhance data self-service capabilities, and explore new ways to deliver insights using modern technologies, including AI-powered tools.

Desired Qualifications

  • Experience with Dataiku.
  • Experience with Power BI.
  • Experience with AI tools.

About the Company

Euronext

Pan-European exchange providing markets, data, post-trade

Euronext runs regulated markets across Belgium, France, Ireland, the Netherlands, Norway, and Portugal, offering equities, ETFs, warrants, certificates, bonds, derivatives, commodities, and indices. Its trading platforms, market data, and post-trade services let investors and institutions buy and sell assets and allow issuers to list new securities. It differentiates itself with a large cross-border market that integrates trading, data, and post-trade services for multiple countries, plus educational resources to help users understand products like options. The goal is to enable efficient, transparent trading across Europe and to grow its technology and data services for a wide range of clients.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Amsterdam, Netherlands
Founded
2000

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