Energy Data Analyst

Job Posting Organization:
CERN, the European Organization for Nuclear Research, is at the forefront of scientific research and technological innovation. Established in 1954, CERN has grown to become one of the world's largest and most respected centers for scientific research, employing thousands of scientists, engineers, and administrative staff from over 100 countries. The organization operates in multiple countries and is known for its collaborative environment that fosters innovation and diversity. CERN's mission is to push the boundaries of knowledge and understanding of the universe, making it a hub for groundbreaking discoveries in particle physics and beyond.

Job Overview:
The Energy Data Analyst position is pivotal in advancing CERN's electricity cost modeling and load forecasting capabilities. This role is integral to the Energy & Climate Action section of the Environmental Protection group, focusing on the digital transformation of existing financial and forecasting tools into a structured Python-based analytical platform. The analyst will enhance the granularity of forecasting and explore AI-driven methodologies for electricity load and price forecasting. Additionally, the position involves monitoring developments in electricity markets and supporting CERN's ISO 50001 energy management initiatives, ensuring that the organization remains at the forefront of energy efficiency and sustainability practices.

Duties and Responsibilities:
The Energy Data Analyst will be responsible for developing and consolidating a Python-based framework for electricity cost modeling, which includes harmonizing and replacing existing Excel tools used for invoice control, virtual invoicing, and cost forecasting. The analyst will analyze electricity supply contracts and translate pricing mechanisms into structured financial simulation models. They will contribute to load forecasting activities by analyzing historical operational data, identifying consumption patterns, and improving forecasting granularity from daily to hourly resolution. The role also includes integrating real-time data sources, such as solar PV production, into forecasting and analytical tools. The analyst will explore and test AI and machine learning approaches for electricity load and price forecasting, monitor developments in European and French electricity markets, and prepare bi-monthly reports to support procurement and risk assessment. Furthermore, the analyst will support ISO 50001 energy management activities, including documentation, audit preparation, and data-driven performance monitoring, and contribute to cross-functional activities related to the commercial, financial, and contractual follow-up of various electricity supply agreements. This role also includes team supervision responsibilities, ensuring effective collaboration and guidance within the team.

Required Qualifications:
Candidates must have experience in developing data analysis or modeling tools in Python, particularly in areas such as time-series analysis, statistical modeling, or optimization, gained in either academic or industrial settings. They should have experience handling structured datasets and performing quantitative analysis. Exposure to electrical power systems, energy systems, or electricity markets through studies, internships, or research projects is essential. Familiarity with machine learning techniques applied to forecasting problems is a strong asset, as is familiarity with financial or contractual modeling. A solid understanding of European electricity markets is also advantageous.

Educational Background:
The ideal candidate will have a professional background in Electrical and/or Computer Engineering or a related field. Educational qualifications should include a Master's degree with 2 to 6 years of post-graduation professional experience, or a PhD with no more than 3 years of post-graduation professional experience. Candidates must have focused their studies on relevant fields such as Electrical and Computer Engineering, Power Systems Engineering, Computer Engineering, Energy Systems Engineering, or Energy Data Analytics.

Experience:
Candidates should possess a minimum of 2 years of relevant professional experience in data analysis or modeling, particularly in the context of energy systems or electricity markets. Those with a PhD should have relevant experience during their studies or internships, but should not exceed 3 years of post-graduation experience. Experience in a multidisciplinary technical environment is preferred, as is experience in team supervision or leadership roles.

Languages:
Fluency in spoken and written English is mandatory, with a commitment to learn French being highly desirable. Knowledge of additional languages relevant to the European context may also be beneficial, but is not required.

Additional Notes:
The position is a full-time role with a contract duration of 24 months, with the possibility of extension up to a maximum of 36 months. Working hours are set at 40 hours per week, with a hybrid working model available. The target start date for this position is July 1, 202

• A valid driving license is required for this role. The job reference is HSE-ENV-EC-2026-57-GRAP, and it falls under the field of Data Science & Data Analytics. The compensation includes a monthly stipend ranging from 6372 to 7004 Swiss Francs, which is tax-free, along with 30 days of paid leave per year, comprehensive health insurance coverage, and a relocation package depending on individual circumstances.