At a Glance
- Tasks: Analyse property and mortgage data, providing insights to drive change in the housing market.
- Company: Join a leading prop tech company known for innovation and excellence.
- Benefits: Flexible work options, generous leave, health support, and a vibrant workplace culture.
- Other info: Dynamic team environment with opportunities for growth and learning.
- Why this job: Make a real impact in the property market while developing your analytical skills.
- Qualifications: Degree in Statistics, Mathematics, or related field; strong analytical and problem-solving skills.
The predicted salary is between 30000 - 40000 £ per year.
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.
Benefits
- 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
Associate Data Analyst in London employer: Hometrack
Hometrack is an exceptional employer that champions innovation and collaboration in the financial services sector. With a strong focus on employee well-being, we offer flexible working arrangements, generous leave policies, and comprehensive benefits, including enhanced paternity leave and financial support for fertility treatments. Our vibrant work culture fosters professional growth through continuous learning opportunities, making it an ideal environment for Senior Machine Learning Engineers to thrive and contribute to meaningful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Data Analyst in London
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Hometrack when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Hometrack.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Hometrack.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Hometrack’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Associate Data Analyst in London
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Hometrack, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Hometrack aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Hometrack
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
