Demand Forecasting Analyst - AI & Analytics | Hybrid London

Greenergy; Greater London; Hybrid; GBP 42,000 - 65,000; Full time

Benefits offered by this job

Competitive salary bonus

Private medical insurance

Enhanced pension

Cycle to work

Season ticket loan

Volunteering days

25 days holiday

Global travel insurance

Employee discounts

Parental leave

Job summary

Greenergy in London is seeking a UK Fuels Demand Analyst to join our Group Optimisation team. You will own the end-to-end demand forecasting process, working with Commercial, Trading, Supply, Risk and Finance to translate customer demand into actionable plans.

You'll build rolling forecasts, analyse volumes, seasonal patterns and market trends, and help advance forecasting tools and processes. A strong Excel background and curiosity about commercial operations are essential.

Qualifications

• Strong Excel and numerical skills.
• Experience applying data science/AI in forecasting.
• Ability to work cross-functionally in a fast-paced commercial environment.

Responsibilities

• Lead end-to-end demand forecasting across relevant markets and product categories (diesel, gasoline, renewable fuels).
• Develop and maintain rolling forecasts (short, medium, long-term).
• Analyse historical sales, seasonality, trends and pipeline activity to improve forecast accuracy.
• Monitor forecast performance and drive continuous improvement initiatives.
• Support scenario modelling and demand analysis for commercial and supply teams.

Skills

Excel proficiency

Advanced data analysis

AI in forecasting

Cross-functional collaboration

Stakeholder management

Attention to detail

Numeracy

Education

Bachelor's degree in a quantitative field

Tools

Excel

AI tools

Job description

Greenergy in London is seeking a UK Fuels Demand Analyst to join our Group Optimisation team. You will own the end-to-end demand forecasting process, working with Commercial, Trading, Supply, Risk and Finance to translate customer demand into actionable plans.

You'll build rolling forecasts, analyse volumes, seasonal patterns and market trends, and help advance forecasting tools and processes. A strong Excel background and curiosity about commercial operations are essential.