Data & Automation Analyst - Operational Excellence

Join Thermosphr, a fast-growing European climate-tech company focused on revolutionizing energy efficiency in commercial buildings. As a Data & Automation Analyst, you will play a crucial role in optimizing our operations and scaling our impact. Your responsibilities will include making building data readable, scaling our analyses, predicting savings, and building and iterating on tools. You should have 2-4 years of experience in a numbers-driven role, a strong understanding of SQL and spreadsheets, and a passion for building and problem-solving.

Numbers speak to you. You love when data tells a story, and you can’t let go of a figure that doesn’t add up.

You’re obsessed with getting it right. You double-check your numbers, test your assumptions and care about the details, because you know one wrong figure can mislead an entire building.

About Thermosphr

We’re looking for a sharp, rigorous and resourceful person with a strong drive to make things happen. Someone for whom numbers come naturally, who can’t resist a dataset that doesn’t add up, and who gets real satisfaction from turning messy data into something that works.

You’d rather build than talk. An imperfect solution today beats a perfect plan next month. You try, break things, learn and try again.

Responsibilities

• Concevoir et développer des outils de données pour piloter les bâtiments, de l'intégration à l'exploitation quotidienne.
• Standardiser et rendre lisible les données des systèmes de gestion de bâtiment (BMS) pour faciliter l'intégration de nouveaux sites.
• Automatiser les analyses et le contrôle des performances des bâtiments, en passant de l'analyse d'un bâtiment à la surveillance de plusieurs simultanément.

Requirements

• You love new tools. A new language, a new AI agent, a new platform: you can’t wait to test it and see what it can do.
• You need to understand how things work. A heating loop, a weird data spike or a broken process: you keep digging until it makes sense.
• 2-4 years in a demanding, numbers-driven role: data analysis, ops, consulting, engineering or similar.
• Proof you’ve automated real work: workflows, tool integrations or scripts (n8n, Make, Zapier, APIs, Python...) that saved hours and are still running.
• Strong number sense: you’re at ease with SQL and spreadsheets, and you can explain exactly how every figure you deliver was calculated.
• A builder’s toolbox: you’ve used many different tools (BI, automation, no-code, AI agents) and combine them to get the job done, rather than mastering only one.
• AI as a daily reflex: you use it to analyse data, write code and prototype in hours.
• Native or bilingual French, fluent English. German is a plus.