CAFM Data Analyst

Leeds
3 weeks ago
Create job alert

CAFM Data Analyst (9 month FTC) - Leeds (Hybrid) - National Facilities Management Organisation

CBW Staffing Solutions are working with a leading facilities management organisation who are seeking an experienced CAFM Data Analyst to join their team on a 9 month fixed term contract. Working closely with the Project team, you will contribute to strengthening data quality, accuracy and governance across the business, helping to embed improved standards and processes as the organisation adopts new ways of working.

You will be working as part of a hybrid team, out of the client’s Leeds office for 2 days per week and 3 days based at home.

Package:

Salary between £35,000 - £45,000 per annum (depending on experience)
Core hours are Monday - Friday (40 hours per week)
25 days annual leave plus bank holidays
Generous workplace pension scheme
Training, development & progression opportunities
Responsibilities:

Reviewing, validating and cleansing data across multiple operational systems ahead of migration
Collaborating with operational teams to resolve data issues, promote ownership and improve consistency
Preparing, mapping and transforming legacy data for use in a new enterprise system, including support for testing and reconciliation
Monitoring data inputs and helping to embed best-practice data governance during the transition
Requirements:

Experience in data analysis, data quality, cleansing, or migration projects
Strong understanding of data structures, relational databases and validation methods
Confident use of Excel and analytics tools such as Power BI
Excellent attention to detail and a proactive, collaborative approach to work
Experience supporting system or ERP implementations (advantageous but not essential)
Interested? Apply with a full & up to date CV or contact Aaron Rutter at CBW Staffing Solutions

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.