Experience within energy power markets?

You'll be working across the company's suite of short-term forecasting tools, which has been built by a combination of machine-learning, optimisation and fundamental models within the short-term trading space.

The team is at the forefront of the energy revolution, driving innovation to power a sustainable future. Delivering reliable, affordable, and clean energy solutions to customers while reducing our environmental footprint.

The business is already a well established leader within their domain. However, they like to keep team sizes quite small as they want people to have a major say and influence on projects.

Role Overview:

• Coding knowledge, in C#, Python or another equivalent language
• Experience of the energy power markets
• An appetite for problem-solving, turning real-world challenges into impactful tools
• Interpersonal, organisational and project management skills
• Writing, data analysis and presentation skills

Key Responsibilities:

• Data Collection & Management:
• Gather, clean, and organize large sets of energy market data (including pricing, volumes, weather data, and economic indicators) from internal and external sources.
• Market Analysis:
• Analyze market trends, price movements, and trade activity to provide insights that inform trading strategies and operational decisions.
• Reporting & Visualization:
• Create detailed reports, dashboards, and visualizations to communicate complex data in an easily understandable format for internal stakeholders.
• Predictive Modeling & Forecasting:
• Develop and maintain statistical models to forecast energy prices, demand fluctuations, and other key metrics using historical data.
• Collaboration with Traders & Analysts:
• Work closely with traders, risk managers, and other analysts to provide real-time insights and data-driven recommendations to improve trading strategies and market positioning.
• Automation & Process Improvement:
• Identify opportunities to automate data collection, reporting, and analysis processes to increase efficiency and reduce manual workloads.
• Compliance & Risk Management:
• Ensure all data analysis and reporting are compliant with regulatory standards and internal risk management protocols.

The successful Data Analyst will earn up to £50,000 and in addition there are exceptional benefits which come as part of the overall package including: 15% Bonus, 8% Pension contribution, training fund, weekly team lunches, travel loans and numerous soft leisurely benefits. The team tends to come together 2 days a week for some collaboration, but only when it adds value to do so.

Spencer Scott Ltd is an equal opportunity Recruitment Agency, which means we do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression. We celebrate diversity and are committed to create inclusive working environments for all our clients.