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Senior Analyst Data Modelling
Posted 5 hours 33 minutes ago by Knight Frank
Permanent
Full Time
University and College Jobs
London, United Kingdom
Job Description
Who are we
At Knight Frank, we work responsibly in partnership to enhance people's lives and environments. Founded in 1896 and headquartered in London, UK, Knight Frank is one of the world's leading independent real estate consultancies. After 128 years we are now located in over 50 Territories, 740+ Offices, 27,000+ People, with 1 Global Network.
At the heart of all we do are our Clients. A relationship built on trust is vital. As trusted partners in property, we act with integrity and care, understanding our clients' unique needs and consistently thinking about the bigger picture to provide personalised, clear and considered advice across all areas of property. Through our deep understanding of key markets and sectors - both emerging and established - we are dedicated to meeting and exceeding their property goals.
A true partnership is a balanced one, and our People are passionate about, and committed to, making our business inclusive and diverse. We give every individual the space and opportunity to perform at their best and be recognised for the immense value they bring. We empower everyone to have autonomy in their role and encourage them to use their voice in how we can make a positive impact as a firm and shape the future of real estate, the built environment and the impact on the communities we serve. Our collaborative and engaged teams provide excellent and dedicated client service. In our workplace, opinions are respected, everyone is invited to contribute to the success of our business and innovation, and new ideas are celebrated.
In 2021 we celebrated our 125th anniversary and set out Our Desired Future, cemented in three pillars: People Potential, Client Centricity and always Creating our Future, together.
About The Role
Our Residential Research department is looking to recruit a Senior Analyst to join the Living Sectors Research team, with a dedicated focus on supporting the Seniors Housing team. This role is integral to driving data-led insights through analysis, modelling, and visualisation, supporting a wide range of workstreams across agency, valuation, and consultancy services.
You will work closely with multidisciplinary teams including Geospatial and Data Science, helping to deliver evidence-based advice and contribute to market-leading research outputs. This position is ideal for someone passionate about real estate and driven by the power of data to shape strategic decisions.
Key Responsibilities
Conduct high-quality analysis using both proprietary and external datasets to support the Seniors Housing team and the wider Living Sectors Research group
Develop and maintain models to support consultancy outputs, including the automation of analysis processes
Create compelling dashboards, data books, written reports, and visual outputs for internal and external audiences
Prepare presentations for client meetings and business development
Respond to ad-hoc data requests and collaborate with colleagues to identify and interpret market trends
Optimise the use of data through sourcing, cleaning, and structuring information from various platforms
Contribute to the production of flagship research publications
About the Team and Working Environment
You'll be part of the Living Sectors Research team, within Knight Frank's Global Research division, based at global our head office on 55 Baker Street, London. Day-to-day oversight and mentorship will be provided by Matthew Bowen, Head of Living Sectors Research & Consultancy. The role focuses specifically on delivering dedicated research support to the Seniors Housing team.
What We're Looking For
A university degree (2:1 or above), or equivalent professional experience in analytics or real estate
3-5 years of relevant experience in data analysis, ideally within a real estate or consultancy environment
Strong numeracy and the ability to interpret and present complex data clearly
Demonstrable experience in data modelling and market analysis, particularly in residential investment and development
Coding proficiency in Python or a similar language
High attention to detail and a rigorous approach to data handling and presentation
Excellent communication and stakeholder management skills
Ability to work independently across multiple projects
A keen interest in the real estate market, especially the policy and economics of residential investment
Technical Skills Required
Advanced proficiency in Microsoft Excel and the MS Office Suite
Python or an equivalent programming language
Data visualisation tools such as Power BI, Flourish, or similar
Familiarity with real estate data platforms such as CoStar, Radius, RCA, PropertyData, or Agents Insight
Experience using geospatial software like ArcGIS Pro
Knowledge of SQL Server is advantageous
For more information on our Senior Living team at Knight Frank, please see click here .
Competitive salary
Please note: this is a Direct Search led by Knight Frank. Applications from recruitment agencies will not be accepted nor will fees be paid for unsolicited CVs, even if provided by PSL agencies.
At Knight Frank, we work responsibly in partnership to enhance people's lives and environments. Founded in 1896 and headquartered in London, UK, Knight Frank is one of the world's leading independent real estate consultancies. After 128 years we are now located in over 50 Territories, 740+ Offices, 27,000+ People, with 1 Global Network.
At the heart of all we do are our Clients. A relationship built on trust is vital. As trusted partners in property, we act with integrity and care, understanding our clients' unique needs and consistently thinking about the bigger picture to provide personalised, clear and considered advice across all areas of property. Through our deep understanding of key markets and sectors - both emerging and established - we are dedicated to meeting and exceeding their property goals.
A true partnership is a balanced one, and our People are passionate about, and committed to, making our business inclusive and diverse. We give every individual the space and opportunity to perform at their best and be recognised for the immense value they bring. We empower everyone to have autonomy in their role and encourage them to use their voice in how we can make a positive impact as a firm and shape the future of real estate, the built environment and the impact on the communities we serve. Our collaborative and engaged teams provide excellent and dedicated client service. In our workplace, opinions are respected, everyone is invited to contribute to the success of our business and innovation, and new ideas are celebrated.
In 2021 we celebrated our 125th anniversary and set out Our Desired Future, cemented in three pillars: People Potential, Client Centricity and always Creating our Future, together.
About The Role
Our Residential Research department is looking to recruit a Senior Analyst to join the Living Sectors Research team, with a dedicated focus on supporting the Seniors Housing team. This role is integral to driving data-led insights through analysis, modelling, and visualisation, supporting a wide range of workstreams across agency, valuation, and consultancy services.
You will work closely with multidisciplinary teams including Geospatial and Data Science, helping to deliver evidence-based advice and contribute to market-leading research outputs. This position is ideal for someone passionate about real estate and driven by the power of data to shape strategic decisions.
Key Responsibilities
Conduct high-quality analysis using both proprietary and external datasets to support the Seniors Housing team and the wider Living Sectors Research group
Develop and maintain models to support consultancy outputs, including the automation of analysis processes
Create compelling dashboards, data books, written reports, and visual outputs for internal and external audiences
Prepare presentations for client meetings and business development
Respond to ad-hoc data requests and collaborate with colleagues to identify and interpret market trends
Optimise the use of data through sourcing, cleaning, and structuring information from various platforms
Contribute to the production of flagship research publications
About the Team and Working Environment
You'll be part of the Living Sectors Research team, within Knight Frank's Global Research division, based at global our head office on 55 Baker Street, London. Day-to-day oversight and mentorship will be provided by Matthew Bowen, Head of Living Sectors Research & Consultancy. The role focuses specifically on delivering dedicated research support to the Seniors Housing team.
What We're Looking For
A university degree (2:1 or above), or equivalent professional experience in analytics or real estate
3-5 years of relevant experience in data analysis, ideally within a real estate or consultancy environment
Strong numeracy and the ability to interpret and present complex data clearly
Demonstrable experience in data modelling and market analysis, particularly in residential investment and development
Coding proficiency in Python or a similar language
High attention to detail and a rigorous approach to data handling and presentation
Excellent communication and stakeholder management skills
Ability to work independently across multiple projects
A keen interest in the real estate market, especially the policy and economics of residential investment
Technical Skills Required
Advanced proficiency in Microsoft Excel and the MS Office Suite
Python or an equivalent programming language
Data visualisation tools such as Power BI, Flourish, or similar
Familiarity with real estate data platforms such as CoStar, Radius, RCA, PropertyData, or Agents Insight
Experience using geospatial software like ArcGIS Pro
Knowledge of SQL Server is advantageous
For more information on our Senior Living team at Knight Frank, please see click here .
Competitive salary
Please note: this is a Direct Search led by Knight Frank. Applications from recruitment agencies will not be accepted nor will fees be paid for unsolicited CVs, even if provided by PSL agencies.
