At a Glance
- Tasks: Analyse data to improve housing services and support operational decisions.
- Company: Join a forward-thinking Council dedicated to making a difference in the community.
- Benefits: Enjoy hybrid working, generous leave, and family-friendly perks.
- Other info: Be part of a supportive team with great career growth opportunities.
- Why this job: Make a real impact on tenants' lives through reliable data analysis.
- Qualifications: Experience in data analysis and a passion for improving service quality.
The predicted salary is between 37563 - 39481 £ per year.
Location: Castle House, Great North Rd, Newark
Salary: NS10 £37,563 - £39,481 per annum
Contractual hours: 37
Basis: Full Time
Region: East
Job category/type: IT
Date posted: 09/09/2026
Job reference: REQ000570
We are looking for two Housing Data Analysts to strengthen and expand our team supporting our housing systems. We are looking for individuals who have proven experience of a practical and inquisitive approach to data; you will help improve the quality, consistency and value of housing data, producing clear reporting and analysis that supports operational decisions, regulatory assurance and continuous service improvement.
What you will be doing:
- Analyse significant datasets to identify data quality issues, trends and opportunities for improvement.
- Support ongoing data cleansing across housing systems, including NEC.
- Design and build complex reports, primarily from SQL data sources, for strategic and operational use.
- Create tailored reporting for housing services.
- Carry out root cause analysis and work with colleagues to resolve data issues effectively.
- Support regulatory returns by identifying appropriate datasets and producing relevant reports.
- Help map and reconcile information shared between systems, supporting consistent and reliable data flows.
- Present data reviews and findings to a range of audiences.
- Contribute to system improvement projects, documentation and the wider Digital Strategy.
This is an opportunity to make a visible difference at a time when reliable, well-governed data is central to housing service delivery and improving tenants' lives. You will join a high performing and supportive digital team with a varied workload. We’re an ambitious, forward-thinking Council with strong values and a culture of doing our absolute best to serve our customers.
We offer:
- Enrolment in the career average local government pension scheme.
- Flexi scheme.
- Hybrid working.
- A generous annual leave entitlement that increases with service.
- Family-friendly benefits.
- One day's paid volunteering leave per year.
- Lifestyle benefits platform.
- Funded health cash plan.
- Free car parking to 31 March 2028.
- £10 a month gym membership at one of our gyms in the district.
You will be working with a professional, committed and experienced team who are passionate about supporting us to deliver the objectives as outlined in our Community Plan.
For an informal chat or more information, please contact Kristin McIntosh, Housing Systems Manager on 01636 655735.
As an employer we will promote an inclusive working environment to maintain and develop a forward thinking and diverse workforce. Veterans/family of forces/ex-forces, those in care/care leavers, and candidates who declare disabilities (as defined by the Equality Act 2010) will be guaranteed interviews provided they have demonstrated that they meet the criteria of the post as detailed in the Person Specifications on their application forms.
We will not accept CVs from unsolicited recruitment agencies.
Closing Date: 23rd September 2026
Interview: 29th and 30th September 2026
Housing Data Analyst in Newark on Trent employer: Active4Today Ltd
Join our dynamic team at Castle House in Newark as an Apprentice Revenues Assistant, where you'll not only gain valuable experience but also work towards a level 4 qualification in Revenues & Welfare Benefits. We pride ourselves on fostering a supportive and inclusive work culture, offering flexible working arrangements, generous annual leave, and opportunities for personal growth within the Council. With a focus on employee well-being and community engagement, this role is perfect for those looking to make a meaningful impact while developing their career in finance and payroll.
StudySmarter Expert Advice🤫
We think this is how you could land Housing Data Analyst in Newark on Trent
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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 Active4Today Ltd.
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We think you need these skills to ace Housing Data Analyst in Newark on Trent
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 Active4Today Ltd, 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 Active4Today Ltd. 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 Active4Today Ltd
✨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 Active4Today Ltd!
✨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.
