Vacancy Details
Short Term Power Forecast Analyst
Ref: NPO-SFA
Location: West Midlands
Category: Energy
Practice: Senior Management
Salary Description: £30,000 basic + excellent benefits
Salary range: £ 25000 - £ 30000
Location: West Midlands
Category: Energy
Practice: Senior Management
Salary Description: £30,000 basic + excellent benefits
Salary range: £ 25000 - £ 30000
Our client is one of the UK’s largest energy supply companies. They are involved in everything from generation and transmission to the distribution and supply of electricity and gas to both residential and business customers.
They are looking for a Short Term Power Forecast Analyst to provide expertise in the creation, analysis and interpretation of Short Term Power Forecasts that will deliver added value to the Retail P&L. They will be responsible for producing numerous forecasts for the retail side of the organisation as well as improving forecasts in large scale capex and opex activities.
The Forecast Analyst will operate across Commercial and Retail areas of the company and will assist in driving an upward shift in operational performance leading to improved accuracy in short term power forecasts. They will calculate power forecast volumes that underpin day-to-day hedging activities and ensure assumptions are understood by all key stakeholders.
It is also hoped the Analyst can "turn customers into fans" by providing a market leading service that will enable industrial customers to ramp down consumption at peak times and manage their transmission charges.
Candidates will have a good understanding of retail and wholesale power markets as well as energy supply risk management and commercial processes. They will have a good working knowledge of trading and risk management tools, best practice processess, quantitative methods and forecasting techniques. They will also be expected to have good stakeholder and relationship management experience.
They will have the ability to articulate complex issues in a concise way and share knowledge and expertise with others. A degree (2.1 or above) in Maths, Operational Research, Economics or a similar numerical subject is also required.
