Energy Systems Data Analyst, LOW CARBON HUB

Energy Systems Data Analyst

Working hours:

1 FTE, 35 hours per week

Department:
Community Benefit

Principle location:
Low Carbon Hub office, Oxford city centre.

This role requires regular attendance at our first-floor office, which is currently accessible only by stairs. We welcome applications from disabled candidates and encourage anyone who may require adjustments to the recruitment process or working arrangements to contact us so that we can discuss their requirements.

Salary: £35,000 plus 4% employers pension contribution

Staff managed:
None.

Benefits:
Generous cycle to work scheme, buy-sell annual leave policy, and flexible hybrid working.

Holiday entitlement: 25 days plus bank holidays

Line manager:
Net Zero Programme Manager

Are you ready to be at the heart of a programme that’s transforming how communities engage with energy?

The Low Carbon Hub is a social enterprise that’s out to prove we can meet our energy needs in a way that’s good for people and good for the planet. The days of fossil fuels are numbered, and the shift to renewable generation is gaining pace giving us the opportunity to reshape the way we manage our energy.

The Low Carbon Hub is a medium-sized energy business, owning a portfolio of renewable installations worth £25m. Our community benefit society structure means that all the profits generated by our portfolio must be used to meet our mission to create a zero-carbon energy system we can all feel good about. We work with communities, local institutions, and local businesses across Oxfordshire to demonstrate in practice how to make that goal a reality.

You can read more about us on our website:(Use the "Apply for this Job" box below)..org

At Low Carbon Hub,
we’re not just talking about change—we’re making it happen
.

The Energy Systems Data Analyst will play a pivotal role in shaping how data drives community-led net zero energy planning
. You’ll turn complex local energy, carbon and socio-technical data into clear insights that underpin community action plans, while helping to design and refine our organisation-wide approach to data-led, place-based planning.

This is a role at the intersection of technical analysis, systems thinking and real-world change
. Working closely with project delivery and community engagement colleagues, you’ll ensure that our data is not only robust and credible, but also accessible, meaningful and empowering for non-specialist audiences.

You’ll be our go-to team member for energy systems data — getting under the skin of datasets, mapping platforms and analytical tools so that our net zero action plans and project coordination are grounded in the best available evidence. Your work will also help us monitor, evaluate and continuously improve our programmes,
generating insights that maximise our impact for communities
.

At Low Carbon Hub,
we’re a small but mighty social enterprise
. We thrive on agility, adaptability, and impact
. If you share our passion for meaningful change, love working in a fast-paced, ever-evolving environment, and want to be part of a team that’s making a tangible difference, we’d love to hear from you.

Ready to drive the future of community energy?
Join us.

• Data analysis for community action plans for zero carbon energy systems
• Undertake quantitative and spatial analysis of energy systems data (e.g. electricity and heat demand, generation, flexibility, carbon emissions, building stock, transport, fuel poverty and related datasets).
• Analyse data available from, e.g., Electricity Distribution Network Operators’ Open Data platforms, digital platforms for Local Area Energy Planning and the Microgeneration Certification Scheme
• Support the creation of community-level net zero energy system action plans by:
  • Identifying current energy use and socio-economic profiles and trends
  • Modelling future scenarios and pathways
  • Combining and analysing data in GIS
• Work alongside community engagement, renewable portfolio and demand reduction project leads to identify priority interventions and system opportunities (e.g. renewables, storage, flexibility, heat decarbonisation, demand reduction).
• Translate national, regional and local datasets into…