LevelTen Energy is on a mission to accelerate the energy transition. We run the world's largest clean energy marketplace, connecting buyers and sellers, and enabling them to get deals done faster with cutting-edge market intelligence reports and software, and transaction tools. Since being founded in ****, LevelTen's platform has facilitated over $14.8 billion in clean energy transactions.

The role of the Analytics department is to provide the rest of the company with the data, charts and intelligence that the team requires to excel in their roles. You will sit at the intersection of quantitative market analysis, regulatory intelligence, and commercial insight — supporting the development of LevelTen's proprietary analytics, data products and market indices for European renewable energy transactions. LevelTen sits on one of the most comprehensive PPA transaction datasets in Europe, and this role offers a rare opportunity to do market-moving research at the frontier of the energy transition.

Build and maintain python models for specific offline analytics, as per business & industry needs. Build and maintain data visualization dashboards, using OMNI Understand the energy industry evolution to help Product evolve the suite of products from LevelTen.

Data Management Run

Quality checks on inputs to our database (mostly, bids to published RfPs) Manage datasets gathered from the platform and other sources (including public sources such as ENTSOe)



to convert it to inputs for reports Transition legacy data from tools such as Tableau to the OMNI platform. Understand the energy industry evolution to help fine-tune data input Build reports (Market Transparency Reports and others) from gathered data. Feed the team with relevant charts and data prior to the different public activities.

The position will be open for junior and senior candidates, adapting the offer to the proven value of the candidate. Generally, a minimum of 2 years of working experience, ideally in energy markets, market analysis, economic consulting, or a related quantitative field. Preferred background is engineering, but open to other backgrounds as long as they have developed data management capabilities.

Proficiency in quantitative analysis tools (Python, R, or equivalent); Excellent written and verbal communication in English.

Experience with SQL, tableau, BigQuery, and BI tools. Familiarity with energy storage economics and revenue stacking frameworks.

Experience with hedonic regression or econometric modeling in commodities or energy.

Health Insurance Allowance In the Madrid office: Hybrid in-office/work from home schedule This position is based out of our office in Madrid (hybrid work schedule).

Contract Type: Contrato fijo (Full-Time / Permanent) Applications must be submitted in English, including resume and cover letter.

📌 Energy Data Analyst (Madrid)
🏢 LevelTen Energy
📍 Madrid