Data Analyst

hrhub

Porto

On-site

EUR 35,000 - 55,000

Full time

9 days ago

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Job summary

Euronext is seeking a Business Data Analyst to join the Statistics and Analytics team in Porto. You will transform data into insights, support decision-making, and build dashboards and reporting solutions for cross-functional stakeholders.

You will leverage market data assets and internal sources, automate processes where possible, and contribute to AI-powered analytics initiatives while ensuring accuracy and governance in billing-related processes.

Qualifications

  • 3 to 5 years of experience in data analytics, business intelligence or a related field.
  • Experience partnering with business stakeholders and supporting decision-making through data-driven insights.
  • Experience working with financial data in data-intensive environments.

Responsibilities

  • Turn data into actionable insights and provide analysis for stakeholders.
  • Develop, maintain and improve dashboards, reporting solutions and self-service analytics tools.
  • Collaborate with business teams to understand challenges and identify opportunities for data-driven value.
  • Support analytics initiatives including automation and use of AI-powered tools.

Skills

Analytical mindset
Stakeholder collaboration
Problem solving
Communication

Tools

SQL
Python
Pandas
Dataiku
Power BI

Job description

Intro

Euronext is the leading pan-European exchange, connecting local economies to global markets. With a strong presence across Europe, Euronext offers a diverse range of services including trading, clearing, and listing.


By leveraging cutting-edge technology, Euronext ensures efficient and secure trading experiences for our clients by provides them a dynamic platform for trading equities, derivatives, commodities and more.


Data therefore plays a crucial role in our operations, driving informed decision-making to support our operations and enhance our services. Join us and be part of a team that is shaping the future of financial markets through innovation and data-driven insights.



Job description

We are looking for a business Data Analyst to join our Statistics and Analytics team based in Porto.


As part of a team at the intersection of data and business, you will work with stakeholders across Euronext to turn data into actionable insights. You will help teams better understand market activity, customer behaviour and business performance, while contributing to innovative analytics solutions that support growth and operational excellence.


Leveraging Euronext's extensive market data assets and other internal data sources, you will conduct analysis, develop reporting solutions, and contribute to the delivery of value-added analytics services. You will combine a strong analytical mindset with a client-oriented approach to understand stakeholders' challenges and proactively propose data-driven solutions.


You will play an active role in the continuous improvement of our analytics ecosystem by automating processes, enhancing data self-service capabilities and exploring innovative ways to deliver insights through modern technologies, including AI-powered tools.


The role also includes responsibilities in key operational processes, notably supporting billing related activities, ensuring accuracy, reliability and appropriate controls in business-critical workflows.



How you'll make an impact


  • Deliver high-quality statistics, reports, analysis and bespoke studies that support business decisions across Euronext.

  • Transform complex data into clear, actionable insights and recommendations for a variety of 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 closely with fellow analysts to share knowledge, challenge assumptions and continuously raise the team's standards and impact.



Mindset & ways of working


  • Are genuinely curious and need understanding how businesses operate before acting.

  • Approach problems with an analytical and solution-oriented mindset.

  • Combine rigor, attention to detail and a strong sense of ownership and accountability.

  • Demonstrate excellent communication skills and enjoy working with a variety of stakeholders.

  • Are proactive and comfortable challenging the status quo in a constructive way.

  • Have a strong sense of organization and can effectively prioritize competing demands.

  • Adapt quickly to changing priorities and remain effective under pressure.

  • Show enthusiasm for learning, innovation and the application of new technologies, including AI.



Technical skills

You have strong hands-on experience with:



  • SQL

  • Python and Pandas data analytics library, including development environments such as Jupyter Notebooks or Visual Studio


The following would be considered an advantage:



  • Dataiku

  • Power BI

  • AI tools



Experience & qualifications

We're looking for someone with:



  • 3 to 5 years of experience in data analytics, business intelligence or a related field.

  • Proven experience partnering directly with business stakeholders and supporting decision-making through data-driven insights.

  • Experience working with financial data, ideally within financial services, capital markets or a comparable data-intensive environment.

  • Demonstrated ability to translate business questions into analytical approaches and communicate findings effectively to both technical and non-technical audiences.

  • Experience designing, developing or maintaining reporting solutions, dashboards and self-service analytics tools.

  • Experience working with large and diverse datasets while ensuring high standards of data quality and reliability.

  • Excellent written and spoken English. You'll be interacting daily with people from all over Europe.



Working with us means

A vibrant international and diverse team where you'll collaborate with a network of 2,200+ talents acr

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