Energy Data Analyst

Job Posting Organization:
CERN, the European Organization for Nuclear Research, is a leading scientific research institution established in 195

• It is headquartered in Geneva, Switzerland, and is known for its groundbreaking work in particle physics. CERN employs over 2,500 staff members and collaborates with thousands of scientists from around the world, representing more than 100 nationalities. The organization operates in multiple countries and is dedicated to pushing the frontiers of science and technology, fostering an environment of innovation and collaboration.

Job Overview:
The Energy Data Analyst position at CERN is pivotal in contributing to the digital transformation of the organization's electricity cost modeling and load forecasting framework. This role is situated within the Energy & Climate Action section of the Environmental Protection group. The primary focus of the position is to migrate legacy financial and forecasting tools to a structured Python-based analytical platform. This transition aims to enhance the granularity of forecasting and explore AI-driven approaches for electricity load and price forecasting. The analyst will also be responsible for monitoring developments in the electricity market and supporting CERN's ISO 50001 energy management activities, ensuring that the organization remains at the forefront of energy efficiency and sustainability.

Duties and Responsibilities:
The Energy Data Analyst will undertake a variety of responsibilities, including but not limited to: developing and consolidating a Python-based framework for electricity cost modeling, which will replace 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. Additionally, the role involves contributing to CERN's load forecasting activities by analyzing historical operational data, identifying consumption patterns, and improving forecasting granularity from daily to hourly resolution. The analyst will integrate real-time data sources, such as solar PV production, into forecasting and analytical tools, and explore AI and machine learning approaches for electricity load and price forecasting. Monitoring developments in European and French electricity markets and preparing bi-monthly reports to support procurement and risk assessment is also a key responsibility. Furthermore, the analyst will support ISO 50001 energy management activities, including documentation, audit preparation, and data-driven performance monitoring, while contributing to cross-functional activities related to the commercial, financial, and contractual follow-up of various electricity supply agreements. This role includes team supervision responsibilities, emphasizing the importance of leadership and collaboration within the team.

Required Qualifications:
Candidates for the Energy Data Analyst position must possess a strong background in data analysis or modeling tools, particularly in Python. Experience in time-series analysis, statistical modeling, or optimization in either an academic or industrial environment is essential. Additionally, candidates 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 highly desirable. Familiarity with financial or contractual modeling is considered an asset, as is an understanding of European electricity markets. Candidates should also demonstrate strong programming skills in Python for data processing, modeling, and visualization, along with a solid understanding of electrical power systems fundamentals.

Educational Background:
The ideal candidate for the Energy Data Analyst position should have a professional background in Electrical and/or Computer Engineering or a related field. Educational qualifications should include either 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 have a proven track record of experience in developing data analysis or modeling tools in Python, with a focus on time-series analysis, statistical modeling, or optimization. Experience in handling structured datasets and performing quantitative analysis is crucial. Additionally, exposure to electrical power systems, energy systems, or electricity markets through academic studies, internships, or research projects is highly valued. Familiarity with machine learning techniques applied to forecasting problems is considered a strong asset, as is an understanding of financial or contractual modeling.

Languages:
The mandatory language for this position is English, with a strong emphasis on spoken and written proficiency. Candidates are also expected to demonstrate a commitment to learning French, which is considered beneficial for effective communication within the organization and the local community.

Additional Notes:
The Energy Data Analyst 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. The working hours are set at 40 hours per week, and the position offers hybrid working flexibility. The target start date for this role is July 1, 202

• Candidates must possess a valid driving license. The job reference for this position is HSE-ENV-EC-2026-57-GRAP. The compensation package includes a monthly stipend ranging from 6,372 to 7,004 Swiss Francs per month, which is tax-free, along with 30 days of paid leave per year plus 2 weeks of annual closure. Additionally, candidates will be covered by CERN's comprehensive health insurance scheme and will have access to the CERN Pension Fund, along with family, child, and infant monthly allowances depending on individual circumstances. A relocation package, including installation grants and travel expenses, will be provided based on individual circumstances. On-the-job and formal training, including language classes, will also be offered.