Associate Data Analyst

The role of the Analytics Associate sits within the Hometrack Analytics and Consulting team based in our the London head office.

Analytics is a core function and centre of excellence within Hometrack. The wider team includes data analysts and analytics consultants, responsible for valuation and risk model innovation and development, product analytics and generating meaningful and actionable insights to be used by decision makers both internal and external. We aim to truly understand what drives property value, risk and housing market behaviours and make our research and insights accessible to our customers to drive change and improvement.

We believe this to be a fantastic opportunity to join a team positioned at the heart of an ambitious and highly regarded company leading innovation in the prop tech space.

The role of the Analytics Associate is to perform detailed analyses and modelling of property and mortgage data and provide data analytics support to the wider team and customers. The candidate should be self‑motivated, have a rigorous mindset and a structured approach to task management.

• Perform detailed analyses and statistical modelling of property and mortgage data
• Run and process valuations of property portfolios using Hometrack's AVM engine and assist with the analysis and risk modelling of its application
• Compile high‑quality reports, typically in a written format or slideware, of a quantitative nature, for mortgage lenders, housing associations and other Hometrack customers and partners
• Contribute to the development, assessment, and ongoing monitoring of the statistical performance of the Hometrack AVM and other models and services
• Build and maintain business intelligence tools (e.g., visualisation reports) to support the commercial and product teams
• Provide clear and accurate answers to client queries that require analytical input and/or support
• Provide support to the rest of the analytics team and wider organisation

• You are passionate about analytics and have a keen interest in the UK property market and/or financial services. You take pride in what you do and enjoy taking full ownership and responsibility of your work.
• You already have, or can quickly learn, technical competencies in Excel, SQL and Python
• You want to apply your strong statistical skills you have learned to an organisation where results matter and can be used
• You enjoy face‑to‑face interactions and want to engage directly with clients and colleagues to present your own or the wider team’s analytical work.
• You are a creative problem‑solver, team player, keenly attentive to detail and customer and outcome focussed.
• You want to learn, be challenged, and challenge your teammates, having in mind the team’s and business’s objectives.
• You want to proactively share your skills, knowledge, and energy to achieve shared ambitions.

• Bachelor's or Master's degree related to Statistics, Mathematics, Computer Science, Economics, etc.
• Excellent analytical skills with the ability to collect, organise, analyse, and disseminate large sets of information with attention to detail and accuracy
• Excellent problem‑solving skills
• Excellent written and verbal communication skills
• Highly competent in using Excel
• Familiarity with computer coding languages such as SQL and/or Python is desired
• Familiarity with using data visualisation tools is desired

• Ability to learn quickly, adjust to changes and think outside the box
• Excellent time management and organisational skills
• Ability to easily build relationships with both colleagues and clients
• Confidence presenting data analysis to technical and non‑technical audiences
• Confidence interacting with clients and responding to their requirements/needs
• Naturally curious to find better and simpler ways to tackle different tasks

• Everyday Flex - greater flexibility over where and when you work
• 25 days annual leave + extra days for years of service
• Day off for volunteering & Digital detox day
• Festive Closure - business closed for period between Christmas and New Year
• Cycle to work and electric car…