Facilities Management Data Analyst

Stevenage
3 weeks ago
Create job alert

Job Title: Facilities Management Data Analyst

Location: Stevenage / Bristol / Bolton

Rate: £31 p/h - We are booking interviews next week! Please call or email for a slot

We have a fantastic opportunity for a Data Analyst to join our Facilities Management Team who are on their journey of migrating from and consolidating existing core systems /data to new systems /platforms. This role will help identify, recommend and undertake in-depth explorative data analyses to identify interesting trends and actionable insights, which can help the Facilities Team in making data driven decisions and driving operational performance.

The Role:

So, what will you be doing as a Facilities Management Data Analyst?

The role will report into the FM Systems and Commercial Manager, you will be embarking on several data activities. These data activities will involve analysis to cleanse and improve the current state of the data and other Data quality related issues like, Data Modelling, Data Lineage, Classification of data, Standardisation of Reference and Master Data across systems.

You will present data and insight in reports, dashboards, and presentations and will be key in turning data into decision-making and action. You will help support Facilities in developing the data culture through creation of data reports. Working closely and in collaboration with our FM Operations Team, driving data quality, supporting decision-making and strategic planning for facility projects.

What are we looking for in our next Facilities Management Data Analyst?

Analyse large volumes of complex data throughout the entire data lifecycle and identify issues and opportunities
Tailor the message for different stakeholders
Carry out root-cause analysis for data errors, trend analysis, gap analysis and impact analysis on various datasets and make recommendations where necessary
Understand and map key data requirements from the Facilities Management Team and wider business stakeholders.
Producing ad-hoc reports and data visualisation requests
Define and put in place data quality metrics and controls across the operational data systems to monitor data quality
Provide technical expertise and acting as first point of contact for analytics queries from non-data-oriented colleagues, whilst also providing guidance on where analysis can help them in their day to day roles

What you will bring to the role:

Strong stakeholder management & communication skills, able to tell a story with the data
A keen interest in data and analytics and how they can improve people's experiences at work
A curious, creative and collaborative mind-set that seeks to learn from feedback and improve continuously
Advanced Excel & SQL - ability to read , write and execute and understand the key concepts
Experience of Business Intelligence tools e.g. Power BI for Reporting and Visualization
An understanding and interest in Facilities Management and building data sources such as BMS, utility usage, office occupancy and space/resource management, maintenance schedules and asset management
Experience working within a Delivery / Property Services or Facilities Management environment (desired but not essential) My client is keen to get this position filled ASAP, so if you feel you have the skills and desire to provide passion and drive as the next Facilities Management Data Analyst, this is the opportunity for you!

So, if you are interested in joining a well-established, renowned, globally recognised organisation working with experts in their field as the next Facilities Management Data Analyst, hit that apply button now!

PLEASE NOTE

Security Clearance (SC) or eligibility to gain is required to be considered for this vacancy

Services advertised by Gold Group are those of an Agency and/or an Employment Business.
We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website

Related Jobs

View all jobs

Data Analyst

Senior Data Analyst

Data Solution Architect

Clinical Trial Assistant (Undergraduate Placement Year)

Lead BI Developer

Head of Volume Management

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Tips for Staying Inspired: How Machine Learning Pros Fuel Creativity and Innovation

Machine learning (ML) continues to reshape industries—from personalised e-commerce recommendations and autonomous vehicles to advanced healthcare diagnostics and predictive maintenance in manufacturing. Yet behind every revolutionary model lies a challenging and sometimes repetitive process: data cleaning, hyperparameter tuning, infrastructure management, stakeholder communications, and constant performance monitoring. It’s no wonder many ML professionals can experience creative fatigue or get stuck in the daily grind. So, how do machine learning experts keep their spark alive and continually generate fresh ideas? Below, you’ll find ten actionable strategies that successful ML engineers, data scientists, and research scientists use to stay innovative and push boundaries. Whether you’re an experienced practitioner or just breaking into the field, these tips can help you fuel creativity and discover new angles for solving complex problems.

Top 10 Machine Learning Career Myths Debunked: Key Facts for Aspiring Professionals

Machine learning (ML) has become one of the hottest fields in technology—touching everything from recommendation engines and self-driving cars to language translation and healthcare diagnostics. The immense potential of ML, combined with attractive compensation packages and high-profile success stories, has spurred countless professionals and students to explore this career path. Yet, despite the boom in demand and innovation, machine learning is not exempt from myths and misconceptions. At MachineLearningJobs.co.uk, we’ve had front-row seats to the real-life career journeys and hiring needs in this field. We see, time and again, that outdated assumptions—like needing a PhD from a top university or that ML is purely about deep neural networks—can mislead new entrants and even deter seasoned professionals from making a successful transition. If you’re curious about a career in machine learning or looking to take your existing ML expertise to the next level, this article is for you. Below, we debunk 10 of the most persistent myths about machine learning careers and offer a clear-eyed view of the essential skills, opportunities, and realistic paths forward. By the end, you’ll be better equipped to make informed decisions about your future in this dynamic and rewarding domain.

Global vs. Local: Comparing the UK Machine Learning Job Market to International Landscapes

How to evaluate opportunities, salaries, and work culture in machine learning across the UK, the US, Europe, and Asia Machine learning (ML) has rapidly transcended the research labs of academia to become a foundational pillar of modern technology. From recommendation engines and autonomous vehicles to fraud detection and personalised healthcare, machine learning techniques are increasingly ubiquitous, transforming how organisations operate. This surge in applications has fuelled an extraordinary global demand for ML professionals—data scientists, ML engineers, research scientists, and more. In this article, we’ll examine how the UK machine learning job market compares to prominent international hubs, including the United States, Europe, and Asia. We’ll explore hiring trends, salary ranges, workplace cultures, and the nuances of remote and overseas roles. Whether you’re a fresh graduate aiming to break into the field, a software engineer with an ML specialisation, or a seasoned professional seeking your next challenge, understanding the global ML landscape is essential for making an informed career move. By the end of this overview, you’ll be equipped with insights into which regions offer the best blend of salaries, work-life balance, and cutting-edge projects—plus practical tips on how to succeed in a domain that’s constantly evolving. Let’s dive in.