Asset Performance Analyst

hace 2 semanas

Madrid, España Ferrovial A tiempo completo

Description :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, GraphQL). 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., PostgreSQL) and document-oriented databases (e.g., MongoDB, 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 AI platforms. Demonstrated proficiency in handling Open APIs (REST, GraphQL). Knowledge of agile methodologies and tools such as Azure DevOps. Basic understanding of data security and GDPR. English language proficiency at B2 level or higher. Analytical mindset, strong communication skills, proactive attitude, and a passion for teamwork. Seize the challenge. Move the world together Innovative, creative, respectful, and diverse are some of the ways we describe ourselves. We are motivated by challenges, and we collaborate across our business units to move the world together. Your journey to a fulfilling career starts here Ferrovial is an equal opportunity employer. We treat all jobs applications equally, regardless of gender, color, race, ethnicity, religion, national origin, age, disability, pregnancy, sexual orientation, gender identity and expression, covered veteran status or protected genetic information (each, a “Protected Class”), or any other protected class in accordance with applicable laws. #WeAreFerrovial

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