Market Analytics Analyst Sr._MAGM1I

What You Can Expect

Data is at the heart of ENGIE’s mission to provide its sustainable energy clients with superior insights for making strategic, actionable trading and dispatch decisions. Every day, the Terra Platform – our unified forecasting platform – forecasts hundreds of millions of individual data points on the electric grid using hybrid AI/physical models. These models directly feed into trading and risk management decisions across multiple asset-backed, algorithmic, and speculative trading teams.

 

To power this mission, you will serve as the bridge between the Terra team and end users, helping accelerate the adoption of Terra forecasts by building trust, clarity, and responsiveness in how forecasts are delivered and understood. You will thrive in this role if you are highly responsive, analytically rigorous, and an excellent communicator who enjoys teaching and working in fast-paced, trading-focused environments.

 

You will work in a dynamic and highly interactive environment, engaging daily with trading desks and collaborating closely with data scientists and the product team. You will play a key role in supporting real-time decision-making, translating complex model outputs into actionable insights, and helping drive adoption of and trust in Terra forecasts across the organization.

 

• Work directly with trading teams on a daily basis to interpret forecasts, answer questions, and support decision-making in fast-moving market environments
• Act as the primary interface between end users and the Terra/data science teams to ensure feedback, issues, and feature needs are clearly communicated
• Run and deliver ad hoc analysis to address immediate trading questions, including explaining forecast behavior and performance
• Support users in understanding quantitative methods and probabilistic forecasts, including uncertainty, scenario interpretation, and limitations of models
• Identify recurring user needs and help standardize analyses, workflows, and reporting where appropriate
• Partner with data scientists, product leads, and developers to development of explainability tools, dashboards, and AI co-pilots to improve accessibility and usability of forecasts
• Helpe define feedback loops to improve forecast quality, trust, and adoption across trading desks

 

What You’ll Bring

• Bachelor’s degree with coursework in Economics, Finance, STEM, or another quantitatively oriented field of study, or a related discipline
• Minimum of 5 years of experience in electricity market analysis, trading support, analytics, or a related role.
• Strong analytical and problem-solving skills with the ability to quickly synthesize information and respond to time-sensitive requests.
• Ability to translate complex quantitative outputs into clear, actionable insights for non-technical stakeholders.
• Comfort working in fast-paced environments with frequent context switching and tight timelines.
• Strong written and verbal communication skills with a focus on clarity and precision.
• Familiarity with electricity markets and trading concepts.
• Experience working with Python, SQL, or similar tools.
• Experience with probabilistic thinking and understanding uncertainty.
• Collaborative mindset with the ability to work across technical and business teams.
• High attention to detail and a strong sense of ownership.

 

Additional Details

• This role is eligible for our hybrid work policy; a minimum of 3 days working in the office per week is required
• Must be available to travel domestically or internationally up to 10% of the time
• Must be willing and able to comply with all ENGIE ethics and safety policies;

 

Compensation

Salary Range: $102,000 – $170,000 USD annually

 

This represents the average expected pay range for a qualified candidate.

 

ENGIE complies with all federal, state, and local minimum wage laws. Actual salary offered may vary depending on geography, experience, education, internal pay alignment, or other bona fide factors. 

 

In addition to base pay, this position is eligible for a competitive bonus / incentive plan.

 

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