Data and Models Associate

• Develop, maintain, and improve data products, tools, dashboards, indicators, models, automations, and data pipelines supporting various monitoring activities within the department
• Build and enhance analytical techniques, indicators, and models using statistical analysis, anomaly detection, machine learning, predictive modelling and other advanced data science methods
• Explore, develop, and support agentic AI use cases and workflows that improve monitoring efficiency, automate repetitive analysis, enhance diagnostics, and support scalable decision-making
• Monitor, troubleshoot, and optimize existing tools, models, dashboards, and automated processes to ensure reliability, scalability, and business value
• Support the integration of new data sources and improve data engineering processes to increase the efficiency and effectiveness of team activities
• Collaborate internally within Performance Management and externally with IT/Digital Global Unit, SCADA/Operational Technology teams, and external vendors on data quality, data governance, digitalization, AI, and advanced analytics initiatives
• Catalog and document key data products, tools, dashboards, and analytical processes used within the department
• Ensure the availability, integrity, and quality of operational data from sources such as SCADA, condition monitoring, maintenance, fault, lubrication, temperature, and other asset-related systems
• Provide training and technical support to team members on data tools, models, dashboards, and automated workflows
• Stay current with emerging data science, machine learning, automation, visualization, agentic AI, and digital tools that can enhance team capabilities
• Additional duties as required

• University Degree and Graduate Degree (includes Master or other graduate level degrees) in Engineering or similar field (Data Science, Computer Science, Statistics, Mathematics, Physics, Chemistry or a related technical field)
• Minimum of 3 years (till 6 years) of relevant technical experience (less experience considered for advanced degree)
• Experience developing dashboards, reports, or data visualization solutions
• Experience with big data analytics and cloud platforms, particularly Microsoft Azure, Azure Data Factory, and Databricks
• Experience in one or more of the following areas: data engineering, scalable machine learning, advanced analytics, anomaly detection, predictive modelling, dashboard automation, or agentic AI applications
• Experience working with historians, databases, or platforms containing high-volume time-series data
• Familiarity with wind turbine, solar PV, or BESS operations and associated SCADA, maintenance, and condition-monitoring datasets
• Experience collaborating with IT, SCADA, operations, engineering, or external technology vendors
• Proficiency with SQL and Python or R
• Experience using Power BI, Tableau, or similar tools for developing dashboards, reports, or data visualization solutions
• Proficient knowledge of Microsoft Office applications
• Fluent Spanish and English Level (Oral and Writing) is mandatory
• Ability to multi-task and be self-motivated
• Strong interest in data science, machine learning and/or automation processes and driven to keep up with the latest developments in related field
• Ability to perform job tasks in a collaborative working environment
• Ability to work well independently, manage time and tasks
• High attention to detail and strong problem-solving ability
• Strong written and verbal communication skills
• Demonstrated interpersonal and teamwork skills
• Strong time-management skills including demonstrated ability to provide technical support for multiple concurrent activities
• Ability to comprehend and apply a variety of subjects relating to wind and solar energy, including meteorology, aerodynamics, and electrical and mechanical systems
• Exemplary standards of integrity, ethics, safety, quality, and productivity
• Ability to operate a motor vehicle, including possession of a valid driver's license

Other languages are a plus

• Positive and innovative work environment
• flexible, healthy, and inclusive workplace
• attractive benefits
• opportunities for development and internal mobility