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 SME Data Analyst (f/m/d)

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

Your responsibilities:

• Produce and validate PnL bridges and management commentary.
• Execute daily, weekly and monthly predefined sets of controls
• Monitor data flows between front, middle and reporting systems; their completeness, timeliness, and accuracy.
• Triage of incidents (e.g., data freezes or gaps) with data and technology teams; drive end-to-end resolution and tracking.
• Coordinate teams to implement new or changed in data flows when products or processes evolve.
• Coordinate teams to reduce manual touchpoints and drive automation for legacy items.
  

Our requirements:

• Master’s Degree in Data Science, Data Analytics, Finance, Economics.
• Proficiency in SQL, Python/R and dashboarding tools (e.g., Power BI).
• 3-5+ years in quantitative, data scientists or analyst role.
• Experience in banks or trading houses (energy or commodities) would be a strong plus.
• Comfortable in cross functional environment and collaboration with other departments (Risk, Finance, Operation, and IT).
• Hands-on experience with ETRM systems would be a plus (Endur).