Energy Analytics Manager

Energy Analytics Manager

Department: Analytics

Employment Type: Permanent

Location: London, England, United Kingdom;
Leeds, England, United Kingdom

Reporting To: Senior Energy Analytics Manager

Contract type: Permanent

Hours: 37.5 / week

Salary: circa £70,000 depending on experience

Location: Leeds or London

WFH policy: Employees are required to attend the office 2 days/week

Flexible working: Variety of flexible work patterns subject to line manager discretion e.g. Compressed 9-day fortnight.

Reports to: Senior Energy Analytics Manager

Deadline

Note:

We reserve the right to close the advert before the advertised deadline if there are a high volume of applications.

The Energy Analytics Manager reports to the Senior Energy Analytics Manager, managing specific analytical work streams broadly focused on delivering high-quality insights and operating forecasting models aligned to LCCC’s evolving scheme portfolio.

They are responsible for managing a team of analysts, overseeing project delivery, and ensuring outputs are technically robust, timely, and tailored to meet organisational needs. The individual will help embed best practices in modelling, data analysis, and stakeholder communication, while fostering a culture of continuous learning and improvement.

Working closely with peers in data engineering, quantitative development, policy, and operations, the Energy Analytics Manager will ensure that analytical work supports decision-making at both operational and strategic levels.

• Manage the delivery of LCCC’s analytical work streams, 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 Stakeholder Engagement & Influence
  • 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
  Skills Knowledge and Expertise Essential
  • 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
  Desirable
  • Interest or experience using AI and automation to optimise processes and deliver results
  • 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
  Employee Benefits
  • 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