Asset Performance Analyst

Join Ferrovial:
Where Innovation Meets Opportunity

Are you ready to elevate your career with a global leader in infrastructure solving complex problems and generating a positive outcome on people’s lives? At Ferrovial
, we are not just a company; we are a community of innovators and trailblazers. Listed on three major stock markets:
Nasdaq (US), Euronext Amsterdam (Netherlands) and IBEX 35 (Spain), we are also member of the Dow Jones Sustainability Index and FTSE4

Good. We operate in more than 15 countries and have a workforce of over 24,000 professionals worldwide. Ferrovial’s activity is carried out through our business units, including Highways, Airports, Construction, and Energy.

Our Corporate organization oversees business activities, providing strategic planning, communication, legal, finance and human resources services to the business units. As a member of our corporate organization, you will have a broad view of our company, further supporting your career development.

Why Ferrovial?

• Global presence, local impact
  :
  Be part of a company that is shaping the future of infrastructure worldwide, with challenging roles and projects that make a real difference.
• Collaborative excellence
  :
  Work alongside talented professionals in a collaborative environment where your ideas and contributions are valued.
• Inclusive Culture: Thrive in an innovative and respectful workplace that values every voice, celebrates what makes us unique and turns differences into innovation.
• Career growth
  :
  Benefit from global and cross-business unit mobility, with development processes designed to ensure your professional growth.
• Compelling benefits and employee wellbeing:
  Enjoy a comprehensive benefits package that rewards your hard work and dedication and take advantage of initiatives designed to support your physical and psychological health.
• Productivity tools
  :
  Utilize cutting-edge tools like Microsoft Copilot to enhance your productivity and efficiency.

About The Role

Ferrovial’s Asset Management and Process Digitalization Department, part of the Innovation Directorate, is expanding its team! We lead the optimization of asset life cycles, from piloting disruptive technologies (such as XR, digital twins, simulations, and Gen AI) to deploying and supporting scalable solutions across Ferrovial’s business units. We are seeking a full-time Asset Performance Analyst to collaborate with various departments, driving innovation and value creation through data-driven insights.

The primary workplace will be Madrid.

Key Responsibilities

• Collaborate with business units to understand requirements and extract actionable business insights from asset data.
• Explore, normalize, and process diverse data sources to enable analysis of both existing assets and new infrastructure opportunities.
• Define data models that support holistic information management throughout the asset lifecycle, ensuring alignment with technological solutions (e.g., BIM, digital twins, GIS, asset management platforms).
• Create valuable datasets (including geodatasets) by integrating multiple data sources for Ferrovial’s business needs.
• Demonstrate proficiency in handling Open APIs (REST, Graph
  
  QL).
• Manage deployment processes across different environments (Dev, Int, QA, UAT, PRO).

Qualifications

• Academic background in statistics, applied mathematics, engineering, or a related field.
• Minimum of five years’ experience as a data analyst, with a proven track record in leveraging data to improve business processes.
• Previous experience in the infrastructure, construction, or mobility sectors.
• Expertise in developing advanced mathematical models and analyzing large data volumes.
• Experience in data ingestion and transformation processes, including traditional imports, IoT, digital twins, and integrations.
• Proficiency with relational databases (e.g., Postgre
  
  SQL) and document-oriented databases (e.g., Mongo
  
  DB, Cosmos DB).
• Programming skills in Python, Node.js.
• Familiarity with big data tools (Hadoop, Cloudera, Hortonworks, Spark, Hive).
• Knowledge of Generative AI, Retrieval-Augmented Generation (RAG), MCP, and Predictive AI (Machine Learning).
• Familiarity with generative and predictive…