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

Apply Now

Housing Asset & Data Management Analyst

Town
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Asset Data Analyst

Senior Asset Data Analyst

Senior Asset Data Analyst

Data Quality & Governance Analyst

Housing Research and Data Analyst

Complaints Data Analyst

Description

As the Senior Data Analyst, you will be pivotal in optimising the housing data and ensuring the highest service delivery standards. The role requires an experienced data analyst to support the Asset, Capital Programme, and Compliance Teams and manage data, insight, and statutory return reporting. It also requires advanced Excel and SQL reporting experience.

Responsibility

To take responsibility for the delivery and management of housing stock asset data analysis and reporting to meet the aims and objectives of the organisation for business planning and service delivery.

Qualification – Essential

GCSE Grade (or equivalent) in English Language and Mathematics.

A Level 6 qualification in a construction/ property field (e.g., Architecture, asset management, or surveying), or

Candidates with Level 4 qualifications in an ICT/ Data management field who can demonstrate significant experience in an asset management role will also be considered.

Advanced – Microsoft Office (Word, Excel, Outlook), social media.

Qualifications, Knowledge, and Experience Requirements - Criteria to be Evaluated at the Shortlisting Stage.

Successful candidates will have:

Experience of working with Revit and point cloud modelling applications; Cobie databases; 3D BIM models and 2D CAD applications

Experience working within and/or implementing management systems, such as 9001, 45001 or 55001, to enable and support data control and assurance across the Housing Operations.

Comprehensive knowledge of existing and emerging Statutory instruments relating to the construction, design and management of residential buildings, including but not limited to: The Construction (Design & Management) Regulations 2015; The Building Act; The Regulatory Reform (Fire Safety) Order; The Building Safety Bill and relevant British Standards and Industry guidance.

An understanding of a “Golden Thread” outlined in the Building a Safer Future report.

Excellent ICT skills and experience working with asset management databases to produce and analyse complex statistical information.

Working knowledge of data management systems such as Keystone, Apex, and Chrome.

Experience presenting complex data to stakeholders in a clear and accessible manner, both in oral and written form.

Experience working with Revit and point cloud modelling applications; Cobie databases; 3D BIM models and 2D CAD applications.

Ability to engage, coach and motivate teams and set clear targets and expectations.

Evidence of high levels of customer service and satisfaction.

Experience in successfully managing performance and providing clear constructive feedback.

Experience in successfully implementing plans and projects on time and on budget.

Ability to effectively plan and manage budgets and resources.

Demonstrates a good understanding of elected members' political structure and role.

Ability to work collaboratively both within one's service and across other services.

The post holder will be required to attend evening and occasional weekend meetings and events.

A current UK Driving Licence would be beneficial

Essential Compliance Requirements

A pre-engagement screening is mandatory for this role. Please be prepared for this additional step in the application process.

Diamond Blaque Group, a leading public sector provider, is acting as an employment agency for this vacancy. Our organisation is deeply committed to fostering an environment of equal opportunity and diversity in the workplace

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.

Jobs

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Jobs

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.