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Energy Analytics Manager
Low Carbon Contracts CompanyEnergy Analytics Manager managing analytical workstreams and leading a team of analysts. Delivering insights and supporting decision-making in energy policy.
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythondata analysisforecasting modelsanalytical modelsdata visualizationSQLlarge-scale datasetscost modelsmodelling projectsquantitative analysis
Soft Skills
leadershipcoachingcollaborationcommunicationinnovationteam cultureconstructive challengeprofessional growthrelationship buildingstakeholder engagement