Associate Data Analyst in London

Associate Data Analyst in London

London Full-Time 30000 - 40000 £ / year (est.) No working from home possible
PVH (Tommy Hilfiger/Calvin Klein)

At a Glance

  • Tasks: Analyse property data and create insightful reports for clients.
  • Company: Join Hometrack, a leader in property market intelligence.
  • Benefits: Enjoy flexible working, extra leave, and health support.
  • Other info: Dynamic team environment with opportunities for growth and learning.
  • Why this job: Make a real impact in the property market with your analytical skills.
  • Qualifications: Degree in Statistics, Maths, or related field; strong analytical skills required.

The predicted salary is between 30000 - 40000 £ per year.

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.

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

Requirements & Qualifications

  • 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
  • What We Think It Takes to Excel as an Analytics Associate
  • Passionate about analytics and keen interest in the UK property market and/or financial services
  • Take pride in what you do and enjoy taking full ownership and responsibility of your work
  • Can quickly learn technical competencies in Excel, SQL and Python
  • Want to apply strong statistical skills to deliver results that matter
  • Enjoy face‑to‑face interactions and want to engage directly with clients and colleagues to present analytical work
  • Creative problem solver, team player, keenly attentive to detail and customer‑ and outcome‑focussed
  • Willing to learn, be challenged and challenge teammates, keeping the team's and business's objectives in mind
  • Proactively share skills, knowledge and energy to achieve shared ambitions
  • Attributes We Value
  • Ability to learn quickly, adjust to changes and think outside the box
  • Excellent time management and organisational skills
  • Ability to 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
  • Natural curiosity to find better and simpler ways to tackle different tasks
  • About 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

  • Flexible working days and extra days for years of service
  • Day off for volunteering and Digital detox day
  • Festive closure – business closed for Christmas and New Year period
  • 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
  • #J-18808-Ljbffr

Associate Data Analyst in London employer: PVH (Tommy Hilfiger/Calvin Klein)

Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.

PVH (Tommy Hilfiger/Calvin Klein)

Contact Details:

PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Associate Data Analyst in London

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We think you need these skills to ace Associate Data Analyst in London

Analytical Skills
Statistical Modelling
Attention to Detail
Problem-Solving Skills
Written Communication Skills
Verbal Communication Skills
Excel

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 PVH (Tommy Hilfiger/Calvin Klein), 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 PVH (Tommy Hilfiger/Calvin Klein). 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 PVH (Tommy Hilfiger/Calvin Klein)

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

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Get Comfortable with Python and R

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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.