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Education jobs in United States

Market Analyst

Engie

Courbevoie
On-site
EUR 45,000 - 60,000
16 days ago
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HRBP Senior HF

Talan

Paris
On-site
EUR 50,000 - 70,000
16 days ago

Vendeur CDD Temps partiel 25h (HF)

BOULANGER

Lesquin
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EUR 20,000 - 40,000
16 days ago

Forklift Driver

Greif

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EUR 20,000 - 40,000
16 days ago

Analyste technico-fonctionnel hf

GFT

Niort
Hybrid
EUR 50,000 - 65,000
16 days ago
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Educateur Specialise - Educatrice Specialisee H / F

EPNAK

Asnières-sur-Seine
On-site
EUR 28,000 - 35,000
16 days ago

Production Engineer

Tata Consultancy Services

Île-de-France
On-site
EUR 60,000 - 80,000
16 days ago

Enseignant en Mathématiques H / F

De Vinci Higher Education

Courbevoie
On-site
EUR 20,000 - 40,000
16 days ago
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EUR 60,000 - 80,000
16 days ago

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SMCP

Paris
Hybrid
EUR 40,000 - 55,000
16 days ago

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Paris
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EUR 70,000 - 100,000
16 days ago

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Argenx

France
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EUR 70,000 - 90,000
16 days ago

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April Group

France
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EUR 20,000 - 40,000
16 days ago

Technicien itinérant en électroménager HF BREST ET ALENTOURS

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Brest
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EUR 30,000 - 40,000
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EUR 70,000 - 100,000
16 days ago

Stagiaire Achats FH

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Neuville-en-Ferrain
On-site
EUR 20,000 - 40,000
16 days ago

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Eurofins

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EUR 40,000 - 60,000
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Bras droit du ceo en alternance/stage (f/h)

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EUR 20,000 - 40,000
16 days ago
Market Analyst
Engie
Courbevoie
On-site
EUR 45,000 - 60,000
Full time
16 days ago

Job summary

A leading energy management firm is seeking a Market Analyst to join their Energy Demand Forecast team. The ideal candidate will possess strong expertise in energy demand modelling and proficient skills in Python and GitHub. Responsibilities include contributing to the development of energy transition scenarios and supporting long-term energy demand modelling. Fluency in English and French is required, alongside a Master's Degree or PhD in a relevant field. This role offers an opportunity to impact energy solutions and join a diverse and inclusive work environment.

Qualifications

  • Fluent in English and French.
  • Strong knowledge in energy modelling.
  • First experience in bottom-demand modelling recommended.

Responsibilities

  • Contribute to energy transition scenarios development.
  • Support long-term energy demand model development.
  • Participate in strategic studies for various BUs.

Skills

Python proficiency
GitHub proficiency
Experience in data processing
Interest in energy field
Analytical skills
Communication skills

Education

Master's Degree or PhD in engineering, mathematics, physics
Job description
Job Listing Detail

Location: Paris - La Défense, Courbevoie

About ENGIE and Supply & Energy Management

ENGIE, a global leader in low‑carbon energy and services, relies on its Global Business Unit Supply & Energy Management (GBU S&EM) to provide reliable, sustainable, and affordable energy to all its customers. This strategic unit optimises the Group's and clients' production assets and designs tailored energy solutions for our 200,000 professional clients and 15 million consumers.

The Global Business Unit Supply & Energy Management leverages ENGIE's assets to deliver secure and sustainable energy to its B2B and B2C customers. It uses its expertise in energy management to provide decarbonised electricity 24/7.

Context

Market Analysis is a centre of expertise within GBU S&EM dedicated to analysing energy markets. Integrated into the operational Energy Management division, its mission is to enhance the understanding of market dynamics and inform the Group's strategic decisions in the context of an accelerated energy transition. The team combines strong expertise in energy modelling, economic analysis, and foresight, covering all energy vectors—electricity, natural gas, LNG, biomethane, hydrogen, e‑fuels, etc.—across short to long‑term horizons (up to 2050). Its work supports both ENGIE's operational needs (price forecasts, supply‑demand balance, asset valuation) and strategic reflections on transition scenarios, regulation, or market design.

Our team works for the ENGIE Group and its entities worldwide, conducting economic and strategic studies to help these entities better understand and manage their strategic and operational challenges. The studies cover a wide range of topics related to the energy transition and decarbonization: energy market fundamentals, studies on future energy trends (green gases, CCUS, biomass, decentralised production), business models for green gases (biomethane, hydrogen), energy demand projections, defining the Group's climate ambitions, etc. These studies draw on a broad range of skills: economic modelling, scenario analysis, operational optimisation, data analysis and statistics, etc.

Your Mission

The Market Analyst will be an integral part of the Energy Demand Forecast team, within the Market Analysis division. As part of its strategic advisory activities for the ENGIE Group and for public institutions (such as the European Commission), the Market Analysis team has developed recognised expertise in modelling and projecting energy demands—electricity, hydrogen, methane, biomass, etc.

These analyses aim to quantify the impacts of the energy transition on the evolution of energy uses and needs at the European level.

The work follows in the footsteps of prospective exercises conducted by RTE (Futurs Énergétiques 2050) or by ADEME (Transitions 2050), which involve building several energy transition scenarios for the 2050 horizon. To produce similar analyses for its clients, ENGIE has developed a range of tools and models integrated into an internal macro‑model.

Examples of potential tasks
  • Contribute to the development of prospective energy transition scenarios at the European level, in support of the ENGIE Group's strategy.
  • Support the development of our long‑term energy demand model (AMADEUS).
  • Participate to dedicated strategic studies for a large range of BU inside the ENGIE Group (B2C, B2B, NGBU, etc.).
What we are looking for
Hard skill
  • Python and GitHub proficiency (mandatory).
  • Experience in developing tools for collecting, processing, and analysing market data.
  • Strong interest and knowledge of the energy field.
  • First experience in energy modelling, especially in bottom‑demand modelling is recommended.
Soft skill
  • Strong analytical and synthesis skills.
  • Clear and effective communication, both written and verbal.
  • Ability to explain and convey messages about complex issues.
  • Ability to work in a multi‑cultural environment.
Education & Experience
  • Master's Degree or PhD in a relevant area (engineering, mathematics, physics, etc.).
Languages
  • English and French: Fluent.
Diversity & Inclusion

If you meet these requirements, then you are the talent we are looking for. Don't wait – apply now with your CV, whatever your gender.

At ENGIE S&EM, we are committed to fostering a gender‑neutral and inclusive environment where everyone's potential can thrive.

All our positions are open to people with disabilities. If you need any reasonable accommodations during the recruitment process, please inform your recruiter – we will be happy to support you.

About ENGIE

ENGIE is a global leader in low‑carbon energy and services, committed to accelerating the transition towards a carbon‑neutral world. Our purpose ("raison d’être") is clear: act to reduce energy consumption and develop cleaner, more sustainable solutions that balance economic performance with a positive impact on people and the planet.

We rely on our core businesses – gas, power, renewable energy, and services – to deliver competitive, tailored solutions to our customers worldwide.

With 96,000 employees and a strong network of partners and stakeholders, ENGIE is more than a company: we are a community of Imaginative Builders, working every day to create harmonious, sustainable progress.

Business Unit: Supply & Energy Management

Division: EC MARKET ANALYSIS

Legal Entity: ENGIE Global Markets S.A.S.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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