Data Quality and Insight Analyst in London

Data Quality and Insight Analyst in London

London Full-Time 41380 - 41380 £ / year (est.) No working from home possible
T

At a Glance

  • Tasks: Ensure data accuracy and create insightful reports to support decision-making.
  • Company: Join Newlon Housing Trust, a leading charitable housing association in London.
  • Benefits: Enjoy 27 days holiday, a non-contributory pension, and flexible working options.
  • Other info: Work in a vibrant office near Tottenham Hale, with great career growth opportunities.
  • Why this job: Make a real impact by improving housing services through data analysis.
  • Qualifications: Experience in data analysis, strong Excel skills, and a keen eye for detail.

The predicted salary is between 41380 - 41380 £ per year.

Salary: £41,380 per annum plus opportunity to earn up to 5% performance related bonus

Contract: Full-time, permanent

Location: Hale Village, London, N17

Newlon Housing Trust is a successful charitable housing association and one of the major providers of new affordable housing in north and east London. We have an opportunity for an experienced data analyst to work with Newlon’s Business Intelligence Lead ensuring that all data is accurate, reliable and trusted enabling the delivery of quality reports.

  • Business intelligence – gathering data and ensuring data quality to provide residents, colleagues and decision makers with accurate information.
  • Reporting – creating engaging and informative reports and present findings to decision makers to support the delivery of excellent services, the maintenance of high-quality homes and the ability to make efficient and effective decisions.
  • Benchmarking – comparing Newlon’s performance with other organisations to demonstrate areas of good practice and identify opportunities for improvement.
  • Insight – applying your critical thinking and communication skills to interpret data, identify trends and anomalies, and provide high-quality analysis.

You will work in partnership with the IT and service teams and provide ongoing assurance to managers and senior leaders with regards to data quality and improvement. With proven experience of working in a data driven environment on large datasets, you will have strong analytical and critical thinking skills, along with strong Microsoft Excel skills and a naturally inquisitive approach to problem-solving. You will have proven experience of data entry into IT systems using a variety of computer databases, an eye for detail and a thorough understanding of data analysis and data modelling.

In return, you can expect 27 days holiday, a non-contributory pension, excellent benefits and a flexi scheme. You’ll also be working out of purpose-built offices that form part of the award-winning Hale Village regeneration project, and are situated just two minutes’ walk from the major transport interchange at Tottenham Hale.

Closing date: 23:59 on Sunday 13 September 2026. Interviews will be held in person at our offices in Hale Village on Wednesday 23 September 2026.

Newlon Housing Trust is a charitable housing association and a committed Equal Opportunities employer. Applicants must be eligible to work in the UK. No agencies please.

Data Quality and Insight Analyst in London employer: The Wild

The London Borough of Hounslow is an excellent employer, offering a vibrant work culture that prioritises community engagement and collaboration. As a Safer Communities Partnerships Lead, you will have the opportunity to make a meaningful impact on residents' lives while benefiting from professional development and support in a diverse environment. With a focus on innovative programmes and partnerships, this role provides unique advantages in contributing to safer communities in a dynamic urban setting.

T

Contact Details:

The Wild Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Quality and Insight Analyst in London

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 The Wild!

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 Data Quality and Insight Analyst at The Wild.

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 The Wild.

Apply Directly through Our Website

When you find a suitable opening like Data Quality and Insight Analyst at The Wild, 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 Data Quality and Insight Analyst in London

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

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 The Wild, 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 The Wild. 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 The Wild

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 The Wild!

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.