Forecasting Strategy Analyst 10 month FTC
London, United Kingdom
SmartestEnergy
You will provide analytical and strategic support for project planning within forecasting and at its interfaces with electricity retail and electricity trading contributing significantly to directing near-term improvements and to the future roadmap.
We face unique challenges and opportunities associated with a specific balance of a large renewable generation portfolio alongside B2B supply and related market activities.
This role will focus on developing, running and communicating a range of strategy analysis areas, some highly technical, to improve the contribution to financial performance of the forecasting function, primarily focusing on volume forecasting opportunities. This will feed into business cases for new developments. Analysis areas will include forecasting accuracy quantification, potential to improve, and assessing market impacts. Rigour and robustness will be required for basic measures, alongside technical and commercial acumen for analysis of more sophisticated statistical relationships that may influence strategy choices.
To understand the feasibility, practical constraints and dependencies, you will interact regularly with forecasting analysts and quantitative analysts, who are involved in model development and operations in relevant areas.
What skills/experience do I need to be successful?
- Proven experience in energy analysis and data/forecasting role, or related consultancy, undertaking technically demanding analysis and communicating strategic insights;
- Prior experience resulting in deep understanding of concepts of electricity settlement, imbalance, market risk;
- Experience of enabling data science or statistical problem solving to improve business performance;
- Familiarity with programme planning concepts applicable to analysis (e.g. experience working on agile projects with formal structure);
- Analytical programming experience in Python, R, Matlab or similar.
What sets us apart?
- Global Impact: With offices in the UK, US, and Australia, and plans for further expansion, you'll be part of a dynamic, globally-minded team, with opportunities to explore new markets and make a difference on a global scale.
- Flexible Working: Embrace the freedom to work from anywhere in the world for up to 30 days a year. We prioritize work-life balance, recognizing that your well-being matters. Find out more here.
- Commitment to Diversity and Inclusion: We celebrate our diverse culture and value individuals irrespective of background, disability, religion, gender identity, sexuality, or ethnicity. Join a team where diversity is not just welcomed but celebrated as a key driver of growth and innovation.
What does hybrid working mean to us?
Hybrid working typically means 2 days in the office location listed on this advert and 3 days working at home each week. Some occasional travel to our other offices may be required.
What happens next?
Once we receive your application, it will be reviewed by a human – no bots here! The average process typically takes around 2-3 weeks, with 2 stages of video interviews using Teams. However, this can vary depending on the role. We may invite you for a face-to-face meeting or require only 1 video interview. If you have any questions or need support, our Recruitment Team is here to assist you.
Ready to join us on our journey to digitise, decarbonise, and localize the future of energy? Apply now.
We're committed to making the application process easy and comfortable. Let us know how we can help you with any reasonable adjustments that can be tailored to your needs. At the bottom of each of our adverts you can find one of our recruitment teams' contact details. Please reach out so we can discuss with you further.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Matlab ML models Privacy Python R Statistics
Perks/benefits: Flex hours
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