Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Asset Data Analyst

Paradigm Housing
Wolverhampton
6 days ago
Create job alert

SettleParadigm Housing is seeking a highly skilled Senior Asset and Data Analyst to join our Asset Performance team. This is a hybrid role, with at least 2 days at our our office in High Wycombe and the remainder at home/remote. Knowledge/experience of of Housing/ Property assets is preferred.
Are you looking to join a growing, values-led organisation with a clear social purpose?
At SettleParadigm, were proud to be the largest housing group in the region, managing over 27,000 homes across Buckinghamshire, Bedfordshire, and Hertfordshire.
Everything we do is about delivering excellent services, high quality homes, neighbourhoods we can be proud of and maximising number of new affordable homes we build. Through our merger weve brought together shared values, skills and ambition, so we can build more affordable homes and make an even bigger difference in the communities we serve
If you're ready to grow your career in a supportive, inclusive environment while helping to shape stronger communities, wed love to welcome you on our journey. Together, were building a better future.
About the Role/team:
This is a pivotal role in shaping our data led Housing Asset Strategy and delivering intelligent investment planning across our growing Housing portfolio.
As a senior member of the team, you will lead the development and testing of reports and algorithms that inform strategic decision making. You will be responsible for building and managing capital works programmes, refining our thirty year business plan, and ensuring the integrity and quality of our housing asset data.
You will oversee a small team of analysts and work closely with colleagues across Asset Management, Finance, Development, Surveying and Customer Services. Your work will directly support our transition to a new data warehouse and help drive performance improvements across the organisation.
Key responsibilities include:
Leading the development of data driven formulas to assess asset performance and identify areas for intervention
Building and maintaining a suite of asset performance indicators using Power BI
Managing a library of reports and ensuring timely updates and error resolution
Supporting the reconciliation of development handover and compliance data
Driving improvements in asset data quality and leading reconciliation programmes
Collaborating with Finance to ensure accurate component accounting
Leading the development of our Net Present Value model
Overseeing planned works programmes and investment pipelines
What we are looking for:
Must haves:
Strong experience in data transformation and report development using Excel and Power BI
Good understanding of asset management processes and the social housing sector
Proven ability to analyse complex datasets and apply statistical tools
Excellent communication skills and a keen eye for detail
Ability to manage competing priorities and lead a small team
Knowledge of data tables and relationships
This is a great opportunity to play a key role in a forward-thinking organisation that is expanding rapidly following our merger with Settle group. If you are passionate about using data to drive strategic investment and improve housing outcomes, we would love to hear from you.
Nice to haves:
Experience with DAX and version control management
Familiarity with Geographical Information Systems and disrepair protocol
For added brilliance:
Collaborative, innovative with a keen interest in our sector.
Benefits:
At SettleParadigm, we believe in creating an environment where our people feel valued, supported, and inspired to grow. Our comprehensive benefits and rewards package reflects this commitment.
annual salary: £52,102 per annum
25 days holiday, increasing with service, plus Christmas closure and buy options
Generous pension scheme up to 9.5% employer contribution via salary sacrifice
Family-friendly leave : Enhanced maternity, paternity, and adoption leave
Health cash plan claim up to £1,800 for everyday health costs (plus free kids cover)
Life cover and income protection
Flexible working hybrid options, modern offices, free parking & EV charging
And thats just the beginning! Were also thrilled to provide:
30+ qualified Mental Health First Aiders available to support
Car leasing via salary sacrifice (for permanent colleagues subject to conditions)
Funded training, qualifications & apprenticeships
3 paid volunteering days in the local communities
Peer-recognition rewards platform
Paid professional subscription (one per year)
Our Commitment
We are committed to creating an inclusive workforce, by reflecting and representing the diversity of the communities we serve. We would like to encourage applications from disadvantaged socio-economic backgrounds; people who identify as disabled, neurodiverse, members of the LGBTQ+ community and people from underrepresented groups.
Accessibility and Adjustments
We are committed to providing reasonable adjustments throughout our recruitment process and well always endeavour to be as accommodating as possible. Please let us know in advance of any suitable arrangements required.
Due to the nature of some of our roles involving work with vulnerable members of society, this post may be subject to a basic or enhanced Criminal Disclosure, which will be carried out when a conditional offer is made.
Please ensure you fully answer the questions on the application form.
Closing Date: 02 December 2025

TPBN1_UKTJ

Related Jobs

View all jobs

Senior Asset Data Analyst

Senior Asset Data Analyst

Senior Asset Data Analyst

Senior Asset Data Analyst...

Senior Asset Data Analyst

Senior Data Analyst

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.