National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

QA Data Analyst (Facilities Management)

Moston
Leeds
2 days ago
Create job alert

Job Title:Quality Assurance (QA) Data Analyst – Property Assets

Company:Moston (FM Asset Management)

Location:Leeds

Work:On site as and when needed

Type:Full-Time


Role Overview:

We’re looking for aQA Data Analyst with an strong interest in, or experience of, data management and a strong understanding of assets within a facilities environment.You’ll play a hands-on role in ensuring the accuracy, reliability, and completeness of property asset data, supporting system improvements, and maintaining confidence in the information used to manage buildings, spaces, and assets across the estate.


This is a great opportunity for someone with a background in data or systems roles who is looking to develop their career further within asset or property-focused facilities environments.


We’re looking for a QA Data Analyst to help ensure the accuracy, reliability, and completeness of our property asset data. You’ll play a hands-on role in checking data quality, supporting system improvements, and helping maintain confidence in the information we use to manage buildings, spaces, and assets across our estate.


This is a great opportunity for someone with a few years of experience in data or systems roles who is looking to develop further within asset or property-focused environments.


Key Responsibilities:

  • Conduct data quality checks on asset and location data (e.g., rooms, plant, equipment, registers).
  • Assist in developing and applying data validation rules and business logic to identify anomalies or gaps.
  • Support the cleansing, standardization, and enrichment of data sets used in CAFM or EAM systems.
  • Work with internal teams (maintenance, estates, compliance) to verify and correct records where required.
  • Help track and report on data quality issues, trends, and progress using tools such as Excel or alike.
  • Support data migration and integration work between spreadsheets, systems, or platforms.
  • Assist with documenting processes, data definitions, and quality standards.
  • Help ensure that asset-related data complies with internal policies and external regulations.


Skills and Experience:

Essential:

  • Good working knowledge of Excel (lookups, pivot tables, error checking, formatting) and basic data handling.
  • A strong understanding of assets within property, estates, or buildings (e.g. HVAC systems, lighting, plumbing infrastructure, and fire safety equipment).
  • Strong attention to detail and a methodical approach to checking and improving data.
  • Comfortable working with structured data (e.g., tables, forms, registers).
  • Effective communication skills – able to raise questions and clarify issues with technical and non-technical colleagues.


Desirable:

  • Exposure to asset management, property maintenance, or compliance environments.
  • Familiarity with EAM, CAFM, CMMS, or similar systems (e.g., Maximo, Planon, Archibus, Concept, or similar).
  • Basic understanding of Power BI, SQL, or data validation tools.
  • Awareness of property asset compliance (e.g., statutory maintenance, lifecycle tracking).


What We Offer:

  • An opportunity to develop your data and QA skills in a property/estates setting.
  • A supportive team environment with opportunities for learning and progression.
  • A role that directly contributes to building safety, operational efficiency, and regulatory compliance.
  • Exposure to enterprise-level asset systems and data improvement projects.



If you’re detail-focused, curious about how data supports physical spaces, and want to grow your data career in the built environment, we’d love to hear from you.

Related Jobs

View all jobs

Lead Data Analyst - Commercial Finance

Data Analyst

Data Analyst Degree Apprentice

Temporary Data Analyst

Principal Data Scientist

QA Tester – ETL Testing (Informatica) & Azure Data Engineering

National AI Awards 2025

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.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.