research analyst London, England
Job description
We are looking to recruit a ESG Senior Research Analyst/Statistician with data skills who is passionate about ESG to join our market-leading Global Research team based at 55 Baker Street on a permanent contract.
As a team, we aim to approach ESG objectively and analytically and this role will be crucial in this strategy. Working in a friendly and dynamic environment in partnership with our dedicated Head of ESG Research, as well as our Geospatial and Data Science specialists, you will source and analyse ESG-related data to deliver incisive evidence-based market intelligence that will enable Knight Frank and our clients to make better, more informed decisions.
In the ESG Senior Research Analyst/Statistician role you will be responsible for:
- Reviewing and collating of available data to support our ESG Research Strategy
- Undertaking high quality analysis of key external and proprietary databases
- Ability to see the bigger picture through the interrogation of relevant data to unearth trends
- Working with technical colleagues in the wider Research team, specifically those in Analytics (Data Science, Data Engineering, Geospatial and Capability Development), to perform analysis – potentially including econometric, natural language programming and geospatial – to discover the impact of ESG on property market dynamics
- Preparation of regular outputs for internal stakeholders, including data books and dashboards, to communicate key findings clearly
- Responding to ad-hoc data requests from the Head of ESG Research, as dictated by the wider team and business
Experience and Qualifications required for the ESG Senior Research Analyst/Statistician role:
- University degree
- 3+ years of relevant experience
- Problem solving skills
- Demonstrable capability to ensure accuracy in manipulating, analysing, and presenting data, with excellent attention to detail
- Natural language programming experience highly desirable
- Personal skills suited to working within a professional, yet friendly and dynamic, team environment
- Self-motivated with the ability to work independently on projects
- An interest in real estate and/or ESG is an advantage
Systems
- MS Office (in particular MS Excel)
- Python, or equivalent, is essential
- Real estate data systems such as Co-Star, Radius, RCA, Property Data or similar
- Interactive data visualization software such as Power Bi, Flourish or similar, a bonus
- ArcGIS Pro or equivalent geospatial software, a bonus
- SQL Server, essential
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