Freelance Data Analyst with experience in the energy market/energy systems

Long-term until end 2027, Brussels

Context

You will work onsite to support the team in realizing several tasks focused on enhancing the transparency of data published by SMA (Scenarios, Market & Adequacy analysis )and developing clear, insightful, and impactful visuals from it.

Our Client is therefore looking for a pro-active, “data geek” and “energy geek”. The candidate should have knowledge of data mining, data gathering/processing (mainly in Python), data visualization (PowerBI, React.js…) and ideally an economic dispatch tool such as ANTARES. This assignment also requires a minimum knowledge of energy systems.

Requirements:

The consultant will help to perform different tasks within the SMA team:

- Improve data management process at SMA (set up data warehouse, data pipelines, ..);
- Explore large amount of data coming out of the simulations;
- Benchmarking visualizations from other equivalent studies, i.e. ERAA (ERAA 2025 Reports & Results), TYNDP (Explore | ENTSO-E TYNDP, Visualisation Platform | ENTSOs TYNDP 2024 Scenarios), MLZ (Data Publication), NESO-FES (FES 25
- Interactive dashboard), RTE (Analyses et données), …
- Benchmarking visualization already available within SMA;
- Create visuals from given simulation output, including writing and updating appropriate scripts;
- Present and iterate upon the created visuals with key stakeholders/management to ensure they fulfill their intended purpose
- Create visuals to compare different studies together or with historical data; - Create/Update scripts to identify inconsistencies in input/output data from the simulations;
- Propose user-friendly interface to dynamically explore the data, that could be publicly shared;





Example of tasks A non-exhaustive list of tasks (and description) is given below:

1. Consolidate historical data into a data warehouse;
2. Create or update tools in Python in order to analyze different output from the ANTARES simulation tool or other solvers;
3. Create visualizations of the outputs of simulations;
4. Critically analyze results of algorithms, assist in the identification of key trends
5. Data engineering and interfaces between tools

Service requirements (hard skills and soft skills):

Hard skills

- Python (must have) Python is extensively used in existing tools at SMA. Python is a general-purpose programming language whose design philosophy emphasizes code readability. The outcome of the project must be compatible with the existing toolchain.
- PowerBI (must have) PowerBI is the central tool used at SMA for visualisation. The project should build on the tools/visuals already available within SMA.
- React.js (nice to have) React.js is used within SMA for specific types of visualization. Knowledge of React would be a plus
- ANTARES (mainly the input/output interface but also a general knowledge of economic dispatch tool is a ‘nice to have’)

Soft skills

- Medior profile: 3 yrs experience minimum.
- The consultant has knowledge of and interest in the energy market;
- Ability to work independently and in a team;
- The consultant has an analytical and innovative mind;

About the profile:

- You like diving into data and create clear, insightful, and impactful visuals;
- Interested to deliver high quality tools to improve the team’s functioning;
- You are looking to invest a team on the medium term where you could face challenging projects and grow an expertise;
- You are interested in the energy transition and challenges in the electricity sector.
- Good level of Dutch and/or French and English is required.

📌 Freelance data analyst energy systems (España)
🏢 ClearSource
📍 España