At a Glance
- Tasks: Analyse and maintain asset data to support housing improvements and compliance.
- Company: Join Moat, a community-focused housing association making a positive impact.
- Benefits: Competitive salary, generous time off, and opportunities for personal and professional growth.
- Other info: Be part of a supportive team recognised as one of the best places to work.
- Why this job: Make a real difference in people's lives while working with data and innovative projects.
- Qualifications: Strong analytical skills, advanced Excel knowledge, and experience with property or housing data.
Salary: £36,308 to £45,385 per annum (salary offered dependent on experience)
Hours: 35 hours per week, Monday to Friday
Contract: Permanent
Location: Mariner House, Dartford/Agile
We're looking for a proactive and analytical Asset Data Analyst to join our Property Services team. Working closely with the Assistant Asset Data Manager, you'll play a key role in maintaining the quality, accuracy and integrity of asset data across our housing portfolio. You'll help ensure our Asset Management System provides reliable information to support investment decisions, compliance requirements, planned maintenance programmes and long-term business objectives. This is an exciting opportunity for someone who enjoys working with complex datasets and turning information into meaningful insight. You will support lifecycle modelling, planned works programmes, asset appraisals, sustainability initiatives and business intelligence reporting, while collaborating with surveyors, compliance teams, contractors and other stakeholders. Your work will directly contribute to improving homes, supporting regulatory compliance and helping deliver our long-term asset management strategy.
Essential Criteria
- Good standard of education, ideally with strengths in numeracy, data analysis or related subjects.
- Experience working with property, asset, compliance or housing-related data.
- Advanced Excel skills with experience in data cleansing, manipulation and transformation.
- Strong understanding of data structures and data management principles.
- Knowledge of Decent Homes Standard, Building Safety requirements, HHSRS and Awaab's Law.
- Familiarity with EPC and energy performance data and an interest in retrofit and sustainability initiatives.
- Strong analytical skills with excellent attention to detail and accuracy.
- Ability to interpret data and produce meaningful reports and insights.
- Excellent written and verbal communication skills.
- Strong stakeholder engagement skills and the ability to work collaboratively across teams.
- Understanding of customer experience and customer satisfaction principles.
- Highly organised, proactive and committed to continuous improvement.
About us
At Moat, we are more than just a housing association; we are a community focused organisation dedicated to making a positive impact on the lives of our customers and the neighbourhoods we serve. With homes across London, Kent, Essex, and Sussex, we strive to provide quality housing and support to those who need it most.
Our Values:
- Own it: We take responsibility for our actions and decisions, ensuring that we deliver on our promises to our customers and communities.
- Better together: We believe in the power of collaboration. By working together with our colleagues, customers, and partners, we achieve greater outcomes and strengthen our communities.
- Lead by example: We strive to set high standards in everything we do. Our team members are role models who inspire others through their commitment to excellence and integrity.
- Be the change: We embrace innovation and are proactive in addressing challenges. We encourage our team to think creatively and drive positive change within the organisation and beyond.
Why join us?
Joining Moat means being part of a friendly team that cares about doing great work. We offer competitive salaries, generous time off, and many chances to grow personally and professionally. Our employees have given us great feedback, which is why we were named one of 'The Sunday Times Best Places to Work' in 2025. If you want a rewarding job where you can make a difference and work with a supportive team, Moat is the right place for you!
Interested? We’d love to hear from you! If you're excited about a new challenge and want to help us at Moat, we want to hear from you! Please visit our website to fill out the online application form by 11pm on Tuesday 8 September 2026. If we’d like to invite you for an interview, we’ll reach out via email. You’ll join us on the first Monday of the month and begin with a structured, week long corporate induction, giving you the time, knowledge and connections to start your career with Moat on the right foot. It’s really important that you provide as much detail as possible in your application. We’re keen to understand your interest in the role and how you meet the requirements, so please make full use of the spaces provided to tell us about your experience, skills, and what makes you a great fit for our team. If you require any additional adjustments to the recruitment process, please email peopleservices@moat.co.uk
Asset Data Analyst - Property Services in Dartford employer: Moat Homes
At Moat, we pride ourselves on being a community-focused housing association that values collaboration and innovation. Our Dartford location offers a supportive work environment with competitive salaries, generous time off, and ample opportunities for personal and professional growth. Join us to make a meaningful impact in the lives of our customers while working alongside a dedicated team that has been recognised as one of 'The Sunday Times Best Places to Work' in 2025.
StudySmarter Expert Advice🤫
We think this is how you could land Asset Data Analyst - Property Services in Dartford
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We think you need these skills to ace Asset Data Analyst - Property Services in Dartford
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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✨Brush Up on Your Statistics
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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.
