Beca Pricing analyst

In this position you will be part of Supply Portfolio Management. Supply Portfolio Management (SPM) encompasses the key activities required to optimize and manage an energy supply portfolio. This includes forecasting of energy consumption, pricing strategies, grid data acquisition and analysis, and ensuring accurate portfolio representation on energy markets.

SPM also involves collaboration with central teams to support local or global projects, harmonize methodologies, and share best practices. The role fosters strong connections with other supply entities to address common challenges, improve performance, and align organizational approaches.

About the role

The Pricing Analyst plays a key role in supporting commercial decision-making by developing customer pricing models, portfolio valuation, and risk insights for power and gas supply activities. Working at the intersection of trading, risk, and sales, the analyst ensures that pricing reflects market conditions, risk-adjusted margins, and compliance with internal governance.

You will analyse wholesale markets, optimise supply costs, and support offers for B2B and industrial customers, contributing directly to portfolio profitability and competitive positioning.

Key Responsibilities

• Develop and maintain pricing models for B2B and industrial clients across electricity and gas portfolios.
• Integrate wholesale forward curves, shaping costs, imbalance charges, and hedging premiums into retail pricing.
• Support the structuring and valuation of complex offers (flexible contracts, indexed formulas, multi-site deals).
• Monitor portfolio performance, providing analysis on margin evolution, volume deviation, and risk exposure.
• Develop automation tools and dashboards (Python, Power BI, Dataiku, or similar) to streamline pricing workflows and reporting.
• Prepare presentations and insights for management regarding market trends, cost evolution, and portfolio profitability.

Hard Skills

Must have:

• Strong analytical skills.
• Knowledge of Power BI, Python, Excel, or other data analysis tools.
• Knowledge of energy markets, pricing mechanisms, or risk management.

Good to have:

• Experience with other data visualisation and analysis tools (similar to Power BI, e.g. Dataiku).
• Familiarity with machine learning algorithms and techniques.

Soft Skills

• Strong problem-solving skills and attention to detail.
• Ability to translate complex data into actionable insights for commercial teams.
• Excellent communication skills.
• Fluency in Spanish and English required (French is a plus).
• Ability to work in a collaborative environment.

Education and Professional Background

• Degree in Engineering, Mathematics, Economics, Finance, or a related quantitative field.
• Experience with data analysis and visualisation techniques and tools.