Data Analyst

Laboratory of Excellence in Mobility
Bishop Auckland
1 week ago
Applications closed

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Data Analyst

Closing date: Sunday 29 March 2026 Salary: £43,074-£44,420 per annum Location: Bishop Auckland, Hybrid, Seaham


Are you ready to be part of something extraordinary?


Here at Believe Housing, we’re entering into one of the most exciting chapters in our story—a bold and ambitious period of transformation that will reshape how we think, work, and create exceptional value and experiences for our customers and colleagues. And we’re looking for people who want to be at the heart of that change.


This transformation will see us embrace new technologies, reimagine our services and unlock the potential across every part of the business.


If you thrive in fast‑moving environments, love solving real problems and want to help build something brilliant for our customers this is your moment.


We’re looking for two Data Analysts to join our team on a three‑year fixed‑term contract.


We believe in life without barriers; if you think you’d be great in the role, we want to hear from you. We’re interested in your skills, experience and personal values and are committed to being a supportive and inclusive employer.


A flexible approach that works for you


We’re a family‑friendly organisation, and we encourage everyone to work the Believe way; keeping things simple, focusing on what matters and removing unnecessary tasks.


Your working arrangements will be flexible, based on the needs of the role, our customers and your preferences (agreed with your manager). Our offices are in Seaham and Bishop Auckland, and this role will require an on‑site presence for part of the week.


About The Role

As a Data Analyst you will turn data into insight to support informed, evidence‑based decisions across the business. You’ll analyse trends, patterns and root causes, helping the organisation understand key challenges and anticipate future risks and opportunities.


Your Responsibilities Will Include
  • Conducting analysis using a range of data tools and techniques.
  • Delivering bespoke research, data modelling and statistical analysis.
  • Working with the Management Team on high‑quality analysis, including predictive modelling.
  • Applying modern approaches, including machine learning, to improve data understanding.
  • Undertaking root‑cause analysis to support data‑led solutions.
  • Supporting strategic planning and service improvement.Driving continuous improvement and operational excellence.
  • Identifying, managing and minimising risks.

For full details, please refer to the job description and information pack.


Whats on offer?

Our people are our greatest strength, and we’re committed to helping you grow, stay curious and thrive. At Believe Housing we’ve created a supportive, inclusive culture where ideas are welcomed and development is encouraged.


Our customers are at the heart of everything we do, and we know that great experiences start with empowered colleagues. That’s why we offer a comprehensive range of benefits designed to support your well‑being, motivate you, and help you do your best work.


We offer a competitive salary of £43,074 to £44,420 per annum and:


  • Up to 33 days annual leave, plus four volunteering days
  • A competitive pension scheme
  • Access to our healthcare scheme
  • Flexible working that supports your well‑being
  • A positive, inclusive culture where growth and development are genuinely encouraged

Apply now

If you share our values and believe you can bring something special to this role, we’d love to hear from you.


We are a Disability Confident Employer. If you need any adjustments or support throughout the recruitment process, please let us know.


Early applications are encouraged, as we may close the vacancy early if we receive a high volume of interest.


Closing date: 11:59pm on Sunday 29 March 2026


Applications must be submitted via our website.


Interview date: Tuesday, 21 April 2026.


Early applications are encouraged; we reserve the right to close the position if we receive a high volume of applications.


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