Statistician/ Senior ESG Analyst - 12 month FTC
Hybrid working - 3 days in London office & 2 days remote
Negotiable salary DOE £40-50,000
Job Reference J12912
Our client is looking for an enthusiastic and innovative Statistician/ Senior Analyst with data skills who is passionate about ESG to join its market-leading Global Research team at a crucial moment for their business. This role is a 12-month Fixed Term Contract (FTC) position.
They are a world leading independent property consultancy within the professional property sector. The increasing focus of policy makers, regulators, markets and investors on ESG, combined with a greater understanding of the role it plays in delivering better outcomes for society and the environment, is reshaping the world of property. Based in their London offices, you will play a key role helping to respond to the rapidly developing needs of their clients at this exciting point in time and help drive forward their ambitious ESG agenda across global markets.
Reporting in to the Head of Data Science the role is focussed specifically on the delivery of research outputs for the wider Global ESG strategy which will cover service lines only outside the UK.
The role - technical specifications
1. Working with technical colleagues in the wider Research team, specifically those in Analytics (Data Science, Data Engineering, Geospatial and Innovation) to perform econometric analysis to discover the impact of ESG on property market dynamics
2. Ability to manipulate, cleanse and analyse complex data, including of key external and proprietary databases
3. Ability to use spatial/GIS analysis to find locational trends
4. Ability to see the bigger picture through the interrogation of relevant data to unearth trends
5. Preparation of regular outputs for internal stakeholders, including data books and dashboards, to communicate key findings clearly
Experience
1. Relevant university degree with strong statistical elements (MSc and PhD levels welcomed)
2. 1-2 years of relevant experience
3. Problem-solving skills
4. Demonstrable capability to ensure accuracy in manipulating, analysing, and presenting data, with excellent attention to detail
5. Strong background in statistics or econometrics
6. Spatial data statistics (e.g. Geopandas/ Open Street Map)
7. Knowledge of python or R desirable
8. Personal skills suited to working within a professional yet friendly and dynamic team environment
9. Self-motivated with the ability to work independently on projects
10. An interest in real estate and/or ESG is an advantage
If this sounds like you then please apply!
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