Location
London Head Office

Hours
Full Time

Salary
Competitive, commensurate with experience

About the Role
The role of the Analytics Associate sits within the Hometrack Analytics and Consulting team based in our 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. This is 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 Analytics Associate will perform detailed analyses and modelling of property and mortgage data and provide data analytics support to the wider team and customers. The role requires a self-motivated individual with a rigorous mindset and a structured approach to task management.

Experience
- Strong analytical skills with the ability to collect, organise, analyse, and disseminate large data sets with attention to detail and accuracy
- Experience or familiarity with Excel, SQL, and Python is highly desirable
- Experience with data visualisation tools is a plus
- Excellent problem-solving skills and ability to work independently and as part of a team

About you
- Passionate about analytics with a keen interest in the UK property market and/or financial services
- Takes pride in work and enjoys full ownership and responsibility of tasks
- Creative problem solver, team player, attentive to detail, customer and outcome focused
- Strong communication skills with confidence presenting data analysis to both technical and non-technical audiences
- Confident in client interactions and responding to their analytical needs
- Naturally curious, eager to learn, challenge, and share knowledge to achieve team and business goals
- Excellent time management and organisational skills
- Ability to quickly learn, adapt to change, and think outside the box
- Able to build strong relationships with colleagues and clients

Qualifications
Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field