Lead Analyst - Data in Newcastle upon Tyne

Lead Analyst - Data in Newcastle upon Tyne

Newcastle upon Tyne Full-Time 50000 - 65000 £ / year (est.) Home office (partial)
Homes England

At a Glance

  • Tasks: Lead data analysis to support housing and regeneration initiatives.
  • Company: Government's housing and regeneration agency focused on impactful projects.
  • Benefits: Flexible location, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team dedicated to positive community impact.
  • Why this job: Make a difference in housing challenges while developing your analytical skills.
  • Qualifications: Strong analytical skills and experience in data interpretation.

The predicted salary is between 50000 - 65000 £ per year.

Closing Date: 05/07/2026 at 23:59

Interviews will take place week commencing 20/07/2026.

Location can be any of the following: Birmingham, Bristol, Leeds, Liverpool, Manchester, Newcastle or Northstowe.

A bit about the role...

As the Governments housing and regeneration agency, we exist to work with partners to support them in tackling housing challenges and enabling the delivery of necessary solutions.

Lead Analyst - Data in Newcastle upon Tyne employer: Homes England

As a leading government agency focused on housing and regeneration, we pride ourselves on fostering a collaborative and inclusive work culture that empowers our employees to make a real impact in their communities. With opportunities for professional growth and development across multiple locations including Birmingham, Bristol, and Manchester, we offer a supportive environment where your contributions are valued and recognised. Join us to be part of a mission-driven team dedicated to tackling housing challenges and creating sustainable solutions.

Homes England

Contact Details:

Homes England Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Analyst - Data in Newcastle upon Tyne

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Homes England!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Analyst - Data at Homes England.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Homes England.

Apply Directly through Our Website

When you find a suitable opening like Lead Analyst - Data at Homes England, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Lead Analyst - Data in Newcastle upon Tyne

Communication Skills
Problem-Solving Skills
SQL
Python
Automation
Attention to Detail
Data Quality Assurance

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Homes England, 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 Homes England. 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 Homes England

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

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!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Homes England!

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.