Sustainability Data Analyst

JOB TITLE:

SUSTAINABILITY ANALYST
DEPARTMENT: SUSTAINABILITY

LOCATION:

MARBLE ARCH, LONDON(Hybrid – 4 days in office)

REPORTING TO: SUSTAINABILITY

TYPE OF

CONTRACT:

FULL-TIME, PERMANENT

PLACES, PEOPLE, PREFER

Our purpose is to create and manage outstanding places which deliver positive outcomes for all our stakeholders on a long term, sustainable basis.

We are a FTSE 100 business with a strong balance sheet and £13bn of assets under management. But with just 600 employees you’re given the ability to make a big impact and elevate your career quickly.

Our diverse, passionate team of experts works on some of the most ambitious, innovative and sustainable projects in the country – from our high-quality campuses across central London, to some of the top retail schemes in the UK – providing a rewarding career journey where you can shape how you grow.

We believe in shared success and enabling people to be themselves. If you want to feel listened to and understood in an environment where your opinions count and bright ideas are encouraged, you’ve come to the right place!

In our recent engagement survey 93% of our employees stated they were proud to work for British Land!

The Sustainability Analyst will play a key role in supporting the organisation’s environmental and sustainability performance reporting across Standing and Development portfolio. This role’s day-to-day activities involve managing data collection and validation, maintaining reporting systems, coordinating environmental compliance activities and carbon emissions forecasting and modelling. The analyst will also support submission of external reporting and Benchmarks such as GRESB, CDP, S&P Global, annual and quarterly sustainability reporting, ensuring British Land meets its internal and external sustainability commitments.

The successful candidate will be expected to work confidently with Power

BI and other data visualisation tools to communicate insights effectively and should see the wider business as their customer—ensuring sustainability data and reporting add value and support decision-making across teams. This is an excellent opportunity for someone who is passionate about sustainability and eager to grow within the field. The role offers significant scope for learning on the job, with full training and support provided to help the successful candidate develop technical expertise across environmental reporting, carbon accounting, and sustainability performance analysis.

Candidates from a range of educational and professional backgrounds who demonstrate a strong interest in sustainability are encouraged to apply.

• Environmental Data and Reporting, including operational and embodied carbon, development
• Manage British Land’s environmental data using CR360 (or similar systems). Train contractors and key stakeholders on data submission and sustainability reporting processes.
• Check, analyse, and validate environmental data for quality and completeness.
• Support preparation of quarterly and annual environmental performance reports.
• Support annual reporting for British Land’s Sustainability Progress Report (SPR), including data acquisition and verification, drafting content around study cases.
• Assist with quarterly embodied and operational carbon reporting for development projects including carbon forecasting and modelling
• Support Power BI modelling and dashboard development for sustainability performance tracking and analysis.
• Support the preparation and submission of development asset data for external benchmarks
• Support the collection and analysis of EMS documentation and records for development projects to comply with ISO 14001 Environmental Management System (EMS), supporting internal and external audits and corrective actions.

• Bachelor’s degree in Sustainability, Environmental Science, Engineering, Geography, Building Surveying, Data Science, Mathematics, Statistics, or another analytical or science-related field — or equivalent practical experience and a demonstrated interest in sustainability.
• Strong analytical skills and attention to detail for managing and verifying large datasets.
• Proficie…