Commercial Analyst - Renewables Forecasting (m/f/d)

Company Description

Why Statkraft?

Statkraft has been making clean energy possible for over a century. That's what we offer. 125 years of unrivalled expertise in supplying the world with what it needs most. We envision a world that runs entirely on renewable energy. Because in the fight against climate change, we don't see renewable energy as part of the solution - we believe it must be the solution. With us, you'll shape a career that is truly forward-facing with many amazing opportunities and offerings to match.

Your department:

The Cross Functional Optimisation (MEX) unit drives optimisation of Energy Management processes across business units and geographies, supporting Statkraft's commercial strategy. MEX creates value by improving core processes and ensuring Energy Management evolves in line with market and digital developments. MEX delivers business Services such as commercial analysis, citizen development, and co-development, supporting optimisation and automated flexibility trading, intermittent production forecasting, and market access for 3rd party customers. MEX also holds business capability ownership for digital solutions in Energy Management, leading daily collaboration between M and IT and ensuring digitalisation efforts align with strategic objectives and value creation.

The Renewables Forecasting Team (MEXF) owns the renewables production forecasting process end-to-end for Wind and Solar portfolios in all European markets. This includes input/output data management, forecast vendor management and creation of meta-forecasts. The team owns the quality and budget so that the highest commercial benefit is realised.

Job Description

The Commercial Analyst - Renewables Forecasting will have responsibilities including but not limited to the following:

• Implement metrics to measure renewables forecasting related data quality in real-time and for historical analyses
• Follow up with vendors and park-owners about identified data quality issues
• Collect and engineer relevant data
• Analyse, monitor and benchmark the performance of renewables forecasts from external providers
• Support the operational forecasting duty by identifying and solving operationally critical incidents
• Support in preparing ad-hoc commercial analyses for internal and external stakeholders
• Regularly update stakeholders on recent developments and performance evaluations

• Excellent university degree in mathematics, physics, meteorology, engineering or business with strong quantitative focus
• Professional experience in timeseries and large dataset analysis
• Strong interest in short-term energy markets, renewable energy, algorithms and data science
• Strong analytical and investigative skills
• Commercial mind set
• Modelling and programming experience preferably in Python
• Proactive and independent way of working
• Excellent communication in English is a must

• Professional and personal development in a company experiencing strong growth
• A positive working environment characterized by competence, responsibility and innovation
• A diverse workplace regarding gender, age and cultural background
• Competitive terms of employment and excellent benefit schemes