Senior Analyst | Data Modelling at Knight Frank
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

12 Sep, 25

Salary

0.0

Posted On

13 Jun, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Costar, Sql Server, Python, Rca, Microsoft Excel, Radius, Direct Search, Power Bi

Industry

Real Estate/Mortgage

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.

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
Responsibilities

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
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