Manage the delivery of LCCC’s analytical workstreams, including scheme forecasts, deep-dives, and external facing dashboards
Translate complex analytical findings into accessible insights that inform senior stakeholders
Provide day-to-day leadership to a team of analysts, setting clear expectations and supporting individual development through coaching and feedback
Champion a collaborative and inquisitive team culture, encouraging innovation, constructive challenge, and professional growth
Support the development, maintenance and improvement of forecasting and analytical models, ensuring they are fit-for-purpose, transparent and well-documented
Stay current on analytical tools, modelling techniques, and energy policy developments to inform and improve delivery
Support the implementation of technical standards and processes that promote quality, consistency, and reproducibility
Contribute to the development of metrics and performance indicators that track analytical effectiveness
Work collaboratively with colleagues across policy, legal, operations and technology to ensure analysis is integrated and impactful
Foster relationships with external stakeholders, including energy suppliers, regulators, and industry associations to gather insights and information beneficial to forecasting

A good first degree or higher in a highly numerate subject or equivalent experience is essential, such as Engineering, Data Science, Computer Science, Economics, Statistics, Mathematics, Operational Research and other quantitative STEM subjects.
Considerable experience in people management or team leadership roles
Extensive experience delivering analytical or modelling projects in an applied setting
Strong technical skills in Python or other coding languages, with experience applying them to analytical problems and model development
Proficiency working with large-scale datasets or data warehouse environments
Experience building or maintaining forecasting or cost models, ideally in the energy or public policy context
Excellent communication skills, with the ability to distil complex analysis into clear narratives for decision-makers
Collaborative working style, with experience working across functional boundaries
Interest or experience using AI and automation to optimise processes and deliver results is desirable
Knowledge of the GB electricity market and energy schemes is desirable
Familiarity with data visualisation tools such as Power BI
Familiarity with SQL for storing and processing information in a relational databases

Annual performance based bonus, up to 10%
25 days annual leave, plus eight bank holidays
Up to 8% pension contribution
Financial support and time off for study relevant to your role, plus a professional membership subscription
Employee referral scheme (up to £1500), and colleague recognition scheme
Family friendly policies, including enhanced maternity leave and shared parental leave
Free, confidential employee assistance, including financial management, family care, mental health, and on-call GP service
Three paid volunteering days a year
Season ticket loan and cycle to work schemes
Family savings on days out and English Heritage, gym discounts, cash back and discounts at selected retailers
Employee resource groups

Energy Analytics Manager

Key skills