Associate Data Analyst
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Associate Data Analyst
Location
London, England, United Kingdom
Experience
Entry
Posted
Jul 10, 2026
Apply by
August 9, 2026
Applicants
0
Early applicantFull-timeHybrid
Job Description
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.
REQUIREMENTS
KEY RESPONSIBILITIES
- 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
WHAT WE THINK IT TAKES TO EXCEL AS AN ANALYTICS ASSOCIATE
- 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.
WHAT WE ARE LOOKING FOR
- Bachelors 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
ATTRIBUTES WE VALUE
- Ability to learn quickly, adjust to changes and think outside the box
- Excellent time management and organizational 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
HOMETRACK
Hometrack is a leading provider of residential property market intelligence and valuation data. Founded in 1999, we are trusted by major mortgage lenders, house builders and government bodies as a source of fast, accurate and precise property information.
Since launching our automated valuation model (AVM) in 2002, we have grown to be the market leader in AVM and now provide over 50 million automated valuations each year to lenders, investors, advisers, developers and housing associations, helping them decide where to invest and develop, what to lend on and how to optimise assets.
Hometrack’s clients account for 85% of the UK mortgage market.
- 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 schemes
- Free Calm App membership
- Enhanced Parental leave
- Fertility Treatment Financial Support
- Group Income Protection and private medical insurance
- Gym on-site in London – or membership in regional offices
- 7.5% pension contribution by the company
- Discretionary annual bonus up to 10% of base salary
- Talent referral bonus up to £5K
Key Responsibilities
- Perform detailed analyses and statistical modelling of property and mortgage data
- Run and process valuations of property portfolios using the AVM engine
- Compile high-quality quantitative reports for mortgage lenders and housing associations
- Contribute to the development and monitoring of statistical performance of AVM models
- Build and maintain business intelligence tools and visualization reports
- Provide analytical input and support to answer client queries
- Support the analytics team and wider organization
Requirements
- Bachelor's or Master's degree in Statistics
- Mathematics
- Computer Science
- Economics
- or related field
Skills Required
ExcelSQLPythonStatistical modellingData analysisReport writingSelf-motivationRigorous mindsetStructured approach to task managementProblem solvingAttention to detailCommunicationTeamworkCustomer focusData visualization toolsAbility to learn quicklyAdaptabilityCreativityCuriosity
Benefits
- Everyday Flex
- 25 days annual leave
- Day off for volunteering
- Digital detox day
- Festive Closure
- Cycle to work schemes
- Electric car schemes
- Free Calm App membership
- Enhanced Parental leave
- Fertility Treatment Financial Support
- Group Income Protection
- Private medical insurance
- Gym on-site
- 7.5% pension contribution
- Discretionary annual bonus
- Talent referral bonus
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