Business Data Analyst

Who We Are

Ferroglobe is one of the world’s leading suppliers of silicon metal, silicon-based and manganese-based specialty alloys and ferroalloys, serving a customer base across the globe in dynamic and fast-growing end markets, such as solar, automotive, consumer products, construction and energy.

We are looking for a highly motivated Data/Business Analyst to join our team and help drive data-informed decision-making across the organization. The ideal candidate is both technically skilled and business-savvy, with a passion for transforming data into insights that drive strategic outcomes.

• Data Source Monitoring. Ensure the correct execution of data loading processes from various sources, maintaining data quality, integrity, and availability.
• Processing and Integrating New Data Sources. Evaluate new datasets that can add value to the business, defining storage structures and integration mechanisms to incorporate them into the existing data ecosystem in a clean, scalable, and organized manner.
• Report Design and Implementation. Gather functional requirements from different business units to design and implement reports that enhance operational management and decision-making. Strong skills in developing clear and effective data visualizations are highly valued.
• Predictive Modeling and Exploratory Analysis. Apply statistical and machine learning techniques to build predictive models and conduct exploratory analysis to identify patterns, detect anomalies, and uncover insights that support business strategies.
• Ethical Data Management. Ensure compliance with data privacy and security regulations. Promote a culture of responsible data use across teams by educating colleagues on best practices for handling reports and sensitive information.

• Experience in programming languages such as Python, R, and SQL.
• Proficiency with data visualization tools like Power BI and Tableau.
• Knowledge of relational and non-relational database engines, and data modeling principles.
• Familiarity with ETL tools and data analysis techniques.
• Solid understanding of statistics and machine learning for predictive modeling.

• Problem-solving and critical thinking skills. The ability to face challenges, evaluate the validity of processes and processed information, and continuously identify opportunities to improve data quality, reporting, and analytical processes is a must.
• Communication, storytelling and collaboration skills. Working with other departments will be key to understanding their information needs and capturing requirements to provide clear and relevant reports.
• Attention to detail. It is crucial to ensure the accuracy and quality of data, as well as the identification of errors and validation of results.

• A degree in Computer Science, Statistics, Economics, Business or a related field is preferred.
• 2+ year of experience in similar role.
• Master’s degree in data science or similar is a plus.
• English and Spanish is a must, French is a plus.
• Proven experience in a data analyst or similar role.
• Solid understanding of machine learning concepts and hands-on experience with predictive modeling.