Carbon & Sustainability Data Analyst

Incommunities Ltd; United Kingdom; Remote; GBP 27,000 - 33,000; Full time

Benefits offered by this job

Pension scheme

28 days annual leave

Cycle to work

Wellbeing benefits

Training opportunities

Job summary

Incommunities Ltd is seeking a Sustainability Data & Carbon Analyst to collect, validate and analyse environmental data across homes and assets. You will support the carbon footprint calculation, ESG reporting and identify opportunities to reduce emissions.

The role requires strong data skills, knowledge of carbon accounting principles and experience with data dashboards. Onsite work two days per week at BD17 7BN is expected.

Qualifications

• Strong data analysis and interpretation abilities.
• Experience with data quality and validation processes.
• Ability to translate data into actionable insights for decision makers.

Responsibilities

• Collect, validate and maintain environmental, energy and carbon data across homes, assets and operations.
• Support the annual calculation of the organisation’s carbon footprint (Scope 1, 2 and relevant Scope 3).
• Maintain and improve carbon datasets, reporting tools and data quality processes.
• Analyse emissions trends to identify hotspots and opportunities for reduction.
• Collaborate with internal teams to improve data accuracy and support decarbonisation initiatives.

Skills

Analytical skills

Attention to detail

Organisational skills

MS Office proficiency

Power BI experience

Education

Degree in sustainability/environment/data/engineering/geography/built environment

Tools

Power BI

Job description

Incommunities Ltd is seeking a Sustainability Data & Carbon Analyst to collect, validate and analyse environmental data across homes and assets. You will support the carbon footprint calculation, ESG reporting and identify opportunities to reduce emissions.

The role requires strong data skills, knowledge of carbon accounting principles and experience with data dashboards. Onsite work two days per week at BD17 7BN is expected.