Medior Data Analyst for Market studies

Looking for a change? New challenges?

Want to boost your career in a Medior Analyst for Market Studies role? Join our Local Managed Staffing team at NRB!

The NRB Group, now a leader in Belgium's ICT sector, offers a wide range of IT services to meet all your IT needs, from Infrastructure & Cloud to Software Development, Consultancy & Managed Staffing.

Find out more here.

Service description:

The consultant should ideally have knowledge of:

• data mining,

• data processing, e.g., VBA, Excel, R, Python,

• data visualization, e.g., Tableau, PowerBI, and

• economic dispatch tools, e.g., ANTARES, PyPSA.

The consultant will support the team in realizing several tasks all related to:

• development, extension and robustification of (flow-based) market modeling frameworks, including:

  • critical analysis of grid data, e.g., PTDF, RAM, CNEC,

  • create automated or visual checks to assess quality and validity of input data,

  • improve the existing R/Python/VBA/Excel scripts used for model building, and

  • enhance code development tooling and processes, e.g., repo, CI.

• research and development into novel approaches for market studies, and

• execution of large-scale market dispatch studies, including:

  • cost-benefit analysis within the context of the Federal Development Plan, or for individual interconnections, and

  • flow-based market dispatch analysis within the context of the internal ‘Production Vector’ process.

Requirements:

Programming: R or Python (must-have)

• R is currently the primary language used for statistical analysis and data processing within the team. It supports automation and replaces Excel/VBA in handling large datasets. Familiarity with R packages developed by RTE (e.g., for ANTARES) is a plus, for more info see: https://github.com/rte-antares-rpackage.

• Python is increasingly adopted for new tool development. Its general-purpose nature and readability make it an asset for future projects.

Proficiency in at least one of these languages is required; experience with both is highly desirable.

Data Processing: Excel (must-have) & VBA (nice-to-have)

• Excel is essential for data exploration, analysis, and interfacing with R/Python scripts. Many internal databases are maintained in Excel format.

• VBA is occasionally used to enhance Excel functionality and automate workflows.

Economic Dispatch Software: ANTARES (nice-to-have)

• ANTARES is an economic dispatch simulation tool developed by RTE, used to model electricity markets on an hourly basis, for more info see: https://antares-simulator.org/.

• Experience with ANTARES, especially its input/output interface and data handling, is beneficial.

Familiarity with market simulation tools and large-scale data processing (10+ GB per simulation) is a plus.

Software Development Tools (nice-to-have)

• Familiarity with version control systems, e.g., Git, is beneficial for collaborative development and code management.

• Experience with IDE environments, e.g., RStudio, VSCode, and package management tools, e.g., pip, is a plus.

Understanding of software development best practices, including documentation, testing, and modular coding, is valued.

Other requirements:

• approximately 3-5 yrs experience,

• knowledge of and interest in the energy market,

• able to work independently and in a team,

• an analytical and innovative mind,

• fluent in French or Dutch, and fluent in English,

• passionate about the energy transition

• interested to deliver high quality tools to improve the team’s functioning

• looking to invest in a team on the medium term where you could face challenging projects and grow your expertise

OUR OFFER

• Contractual flexibility, a permanent contract or a freelance assignment;

• Flexible working hours with the possibility of teleworking (1 to 3 days a week);

• A team of enthusiastic, professional and talented colleagues in a good mood and atmosphere;

• Personalized career coaching to support your development;

• A company with a pleasant, dynamic and innovative working atmosphere.

#LI-HA1