Analytics Manager

Analytics Manager

Full-Time 36000 - 60000 £ / year (est.) On-site
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At a Glance

  • Tasks: Lead a team of analysts to deliver impactful insights and solutions for clients.
  • Company: Join Hometrack, a leader in property market intelligence and valuation solutions.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on innovation and client success.
  • Why this job: Make a real difference in the property market with your analytical skills.
  • Qualifications: Experience in analytics, management consulting, and a passion for data-driven decision making.

The predicted salary is between 36000 - 60000 £ per year.

Hometrack is a leading provider of residential property market intelligence and valuation solutions. 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 75% of the UK mortgage market.

Role Overview

We are looking for an Analytics Manager who combines excellent technical, analytics and consultancy expertise to deliver real value to our clients, identifying opportunities with data and solving emerging challenges. Analytics at Hometrack is responsible for delivering key insight and value for Hometrack’s clients, driving product success, customer value and differentiation.

Key Responsibilities

  • Supports the Head of Analytics by providing day‑to‑day team leadership and direction of senior and junior analysts, including considering capacity planning and prioritisation.
  • Responsible for ensuring the delivery of Hometrack’s suite of analytics solutions across financial services and property data solutions.
  • Provide technical pre‑sales analytical support for commercial opportunities, translating client needs into data‑driven solutions and demonstrating potential value.
  • Takes direct responsibility for analytical insights for key customers as part of existing commitments or defining and presenting new concepts and insights.
  • Pro‑actively analyses client data to identify value for clients, translating into product or service sales for Hometrack.
  • Engage and support commercial and product teams with data and analytical expertise.

About You

You already have, or are able to quickly develop, domain expertise within mortgages. You’re passionate about analytics and combine robust data‑driven methods with data storytelling and creating meaningful insight. You take pride in what you do and enjoy taking full ownership and responsibility of your work. You’re customer‑focused and excel in presenting to customers your analytical findings. You’re a creative problem solver and keenly attentive to detail. You’re an experienced team leader who has successfully managed and developed data analysts. You proactively share your skills, knowledge and energy in order to achieve shared ambitions.

You Have

  • Prior experience in Management Consulting and/or a background in Financial Services with a focus on Analytics/Decision Science.
  • A Bachelors or Masters degree ideally related to Statistics, Mathematics, Computer Science, Economics etc. (degree subject not mandatory – but successful candidates will demonstrate high levels of fluency in data, data analytics and data decision making).
  • Hard analytical skills – collect, organise, analyse and disseminate large sets of information with attention to detail and accuracy (Excel, SQL – required; Python).
  • Problem solving – passionate about data, finding solutions with data and working with a team to solve a complex problem.
  • Communication – excellent verbal and written (ppt., data visualisation and word) communication and presentation.
  • Team management – experience managing and developing junior team members (analysts).
  • Ideal candidates will have specific property/mortgage experience.

Behaviours We Admire

  • 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.
  • Naturally curious to find better and simpler ways to tackle different tasks.
  • Keen interest in the property and mortgage markets.

Analytics Manager employer: Houseful

Houseful is an exceptional employer that champions innovation and flexibility, making it an ideal place for a Data Science Lead to thrive. With a hybrid work model, employees enjoy a balanced work-life dynamic while contributing to impactful projects that drive measurable business outcomes. The company fosters a collaborative culture with ample opportunities for professional growth, ensuring that team members can advance their skills in a supportive environment.

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Contact Details:

Houseful Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Analytics Manager

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We think you need these skills to ace Analytics Manager

Data Analysis
Analytical Skills
Technical Aptitude
SQL
Excel
Python
Communication Skills

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Houseful, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Houseful. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Houseful

✨Brush Up on Your Statistics

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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

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✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.