Axpo is driven by a single goal – delivering a sustainable future through innovative energy solutions. It is the largest producer of renewable energy in Switzerland and an international leader in energy trading, as well as offtake of solar and wind power. While using state-of-the-art technology, Axpo introduces innovations to meet the changing needs of its customers in more than 30 countries across Europe, North America, and Asia.

Axpo has been operating in the Polish market for over 20 years now. It employs about 260 people and is one of the largest independent offtakers of green energy. Customers in Poland benefit from tailor-made offers for the purchase and supply of energy and gas based on structured and long-term contracts. Axpo Polska also provides services to more than 25,000 companies from the small and medium-sized enterprises segment and, since April 2020, it has only been offering energy with a certified origin from renewable energy sources. While supporting energy transition in Poland, the Company also implements large-scale photovoltaic projects.

Currently we are looking for: Senior Data Analyst (f/m/d)

We’re looking for a hands-on data/quantitative analyst to own the P&L accuracy of a retail division and ensure data integrity across systems. You’ll execute robust controls, improve data flows, and partner closely with Risk and Business teams to explain P&L drivers, resolve issues, and enhance transparency. If you thrive in data-heavy environments and love turning complex flows into clean, reliable reporting, this role is for you.

Your responsibilities:

• Perform daily analysis: Use tools like Excel, Python, or SQL to analyze P&L results, monitor risk KPIs, and manage reporting.

• Execute controls: Run daily, weekly, and monthly predefined sets of controls to ensure financial rigor.

• Monitor data integrity: Oversee data flows between front, middle, and reporting systems to ensure completeness, timeliness, and accuracy.

• Reconcile systems: Perform data reconciliation across platforms and address discrepancies.

• Lead flow optimization: Coordinate with teams to implement new or updated data flows as products and processes evolve.

• Drive automation: Collaborate across departments to reduce manual touchpoints and automate legacy processes.

Our requirements:

• Master’s Degree in Data Science, Data Analytics, Software Development, Finance, Economics, or Engineering.

• Proficiency in analyzing data using various tools (e.g., Excel, SQL, Python/R) and/or dashboarding software (e.g., Power BI). You don’t need to master all of them, but a multi-tool skill set is advantageous.

• 3–5+ years in a quantitative or data science/analyst role, or a similar position utilizing the skills mentioned above.

• Experience in the energy sector, banking, or trading houses is a significant plus.

• Comfort working in a cross-functional environment and collaborating with Risk, Finance, Operations, and IT.

• A clear, concise communicator able to turn complex data movements into crisp, actionable commentary.Development in an international company that is shaping the face of the energy market.