Revenue Associate

Verdian; Madrid; Presencial; EUR 60.000 - 85.000; Jornada completa

Descripción de la vacante

Verdian is seeking a Revenue Analyst to develop and maintain analytical models and tools for forecasting, risk assessment, and market analysis in the energy sector. You will translate data into insights to inform commercial decisions and portfolio optimisation.

Operating within the Revenue function, you will collaborate across commercial, investment, asset management, and strategy teams, building capability and delivering data-driven insights for multi-market decisions.

Formación

• Strong quantitative foundations, programming skills, and energy market curiosity.
• Experience in quantitative analysis, data modelling, forecasting, optimisation, or analytics.
• Ability to analyse large datasets and translate findings into business recommendations.
• Programming in Python, MATLAB, or R.
• Advanced spreadsheet and statistical modelling capabilities.
• Experience building analytics models, dashboards, and decision-support tools.
• Commercial awareness linking analytics to PPAs and portfolio optimisation.
• Independent problem-solver with ability to manage multiple priorities and communicate in English.

Responsabilidades

• Maintain, update, and continuously improve analytical models used for power price forecasting and market analysis.
• Assess risks associated with PPAs and optimise renewable assets including PV and BESS.
• Deliver dashboards and market intelligence to management.
• Develop new tools and methodologies to improve forecasting and efficiency.
• Support strategic projects and investment opportunities with ad-hoc analyses.
• Analyse complex energy market datasets to identify trends and opportunities.
• Collaborate with commercial, investment, asset management, and strategy teams.
• Apply analytical judgment to evaluate scenarios and recommend practical solutions.
• Improve modelling standards and data quality practices.

Conocimientos

Python

MATLAB

R

Data analysis

Forecasting

Optimization

Excel

Communication in English

Descripción del empleo

Verdian is a European renewable energy platform dedicated to delivering clean energy and accelerating the energy transition. Our success is driven by talented people, entrepreneurial thinking, and a culture built on agility, flexibility, integrity, results, and empowerment.

ROLE PURPOSE:

The Revenue Analyst supports Verdian’s revenue activities by developing, maintaining, and enhancing analytical models and tools used for forecasting, optimisation, risks assessment, and market analysis. The role contributes directly to the commercial decision-making process, contract negotiations, and portfolio optimisation by providing reliable data-driven insights across multiple energy markets.

Operating within the Revenue function, the role supports analytical tasks and recurring deliverables under guidance from more experienced team members. It requires strong quantitative foundations, programming skills, curiosity, and a willingness to build knowledge of energy market dynamics while contributing to data preparation, model maintenance, reporting, and analysis for business decisions. The role works closely with internal stakeholders, helping translate data into clear insights while developing technical capability and commercial understanding over time.

KEY RESPONSIBILITIES:

• Maintain, update, and continuously improve analytical models used for:
• Power price forecasting and market analysis
• Pricing and assessment of risks associated with Power Purchase Agreements (PPAs)
• Optimisation of renewable energy assets, including solar and battery storage (PV + BESS)
• Commercial strategy evaluation and revenue forecasting
• Perform quantitative analyses to support commercial negotiations and decision-making related to short and long-term offtake arrangements, PPAs, and other energy commercialization activities.
• Deliver regular reporting, dashboards, and market intelligence to management, providing insights on market trends, pricing developments, risks exposures, and key performance indicators.
• Develop new analytical tools, models, and methodologies that improve decision quality, forecasting accuracy, operational efficiency, and commercial performance.
• Provide ad-hoc analytical support for strategic projects, business cases, investment opportunities, and emerging commercial requirements across multiple markets.
• Collect, validate, structure, and analyse complex energy market datasets to identify trends, risks, opportunities, and actionable insights.
• Collaborate with commercial, investment, asset management, and strategy teams to ensure analyses support business objectives and commercial priorities.
• Apply analytical judgement to solve complex problems, evaluate alternative scenarios, and recommend practical solutions based on quantitative evidence.
• Support the continuous improvement of modelling standards, analytical processes, and data quality practices.

KEY SKILLS:

• Understanding of electricity markets, renewable generation technologies, energy commercialisation, pricing dynamics, and market risk principles.
• Experience in quantitative analysis, data modelling, forecasting, optimization or analytics, gained through professional or academic work.
• Ability to analyse large and complex datasets, identify trends and risks, and translate findings into practical business recommendations.
• Programming capability in Python, MATLAB, R, or similar languages.
• Advanced spreadsheets skills, quantitative modelling, statistical analysis, forecasting and optimisation skills.
• Experience developing analytical models, dashboards, reporting outputs, or decision-support tools.
• Commercial awareness and ability to connect analytical outputs to energy market decisions, PPAs, portfolio optimisation, and revenue outcomes.
• Problem-solving skills, sound judgement, and ability to work independently within agreed objectives while managing multiple priorities.
• Communication skills, with the ability to explain technical concepts and analytical findings to non-technical stakeholders in English.