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

Nominate & Attend

Customer Service Data Analyst

Bellrock Property and Facilities Management
Chichester
1 month ago
Create job alert

Customer Service Data Analyst

At Bellrock, we harness technology to give our customers an experience that not only leaves them with advanced building systems. But with peace of mind. And we unlock that by being technology-led, but people-driven. So when you’re part of Bellrock, you’ll get everything you need to be your best at work - because our people are the heart of our business. And we’re all about helping them to shine.

The Property Services Data Analyst plays a critical role in analysing operational and service delivery data across planned and reactive maintenance activities. This position supports the organization’s goals by transforming raw data into meaningful performance insights that inform strategic decisions, improve service quality, and ensure contractual compliance.

How will you be the change?

We believe every role is essential to providing that peace of mind for our customers - whatever part of the business you’re in. Because every role plays a part in driving us further. And everyone can be the change. That’s how deliver value for our customers, and building systems that lead the way

And as a Customer Service Data Analyst with Bellrock, you’ll do it by

  • Collect, cleanse, and analyse data from Computer-Aided Facilities Management (CAFM) systems and other operational platforms related to planned and reactive maintenance activities.

  • Develop and maintain dashboards, performance scorecards, and KPI reports for internal stakeholders and clients.

  • Monitor and track service performance against SLAs, KPIs, and compliance targets.

  • Identify service trends, inefficiencies, and areas for operational improvement.

  • Support the development of monthly and quarterly operations and financial reporting packs.

  • Provide root cause analysis for service failures, complaints, and recurring issues.

  • Collaborate with operational teams to ensure accurate and consistent data capture.

  • Assist in audit preparation and data provision for internal and external reviews.

  • Develop predictive models and insights to support decision-making around asset management and lifecycle planning.

  • Present findings and recommendations to senior leadership and client representatives in a clear and actionable manner.

What does it take?

If you’re ready to be the energy that helps us build our business, share our success, and really own it as a Customer Service Data Analyst, you’ll need

Strong analytical and problem-solving skills.

Proficient in Microsoft Excel (advanced level), Power BI, and/or other data visualization tools.

Working knowledge of CAFM systems (e.g., Concept, Planon, Maximo, etc.)

Excellent communication skills with the ability to present data clearly to non-technical audiences.

Attention to detail and a high level of data integrity.

Ability to work independently and manage multiple data projects simultaneously.

Strong commercial awareness and understanding of facilities management KPIs.

  • Experience in working with public sector or sard services delivery.

  • Knowledge of asset management principles and lifecycle costing.

  • Certification in Power BI, Tableau, or similar analytics tools.

Working arrangements

We embrace smarter working practices which offer our employees the opportunity to work their hours flexibly and remotely where their roles and business needs allow. In this role, the successful candidate would be required to work from 25 West Steet, Chichester, West Sussex, PO19 1RQ, two days a week with the team and the rest of the week can be worked from home.


What can we offer you?

Upon joining Bellrock, you can expect a comprehensive benefits package including:

25 days annual leave plus bank holidays + 1 additional day as a thank you (enjoy it, it’s on us)

Salary exchange pension scheme

Life cover

Paid sick leave

Health Assured employee assistance and wellness program

Enhanced maternity, paternity and adoption leave

Salary sacrifice schemes: Cycle to work

Holiday purchase scheme of additional 5 days per year

Offers and discount scheme designed to save money on everyday shopping and essentials

Healthcare Cashplan

MotorSave Scheme

Refer a friend

Liftshare

Virtual GP


Helping you to shine

We’ve always encouraged new and different perspectives - and that also means making ours a workplace that encourages diverse and unique voices. Where everyone feels welcome, included, and supported to be themselves and achieve more.

So, if you join us, you’ll find an inclusive workplace that recognises your hard work, offers lots of learning and development, flexible and hybrid working, and support for your wellbeing. As well as benefits that can make a difference to your life.

Ready to start shining?

Our people are our passion, so we’re all about helping them to shine. That means putting everything in place for you to have a rewarding career with us. So you can go far in your career, with us behind you. And our business will grow, too. So, if you’re ready to start your career journey with Bellrock, we’re ready to welcome you. It’s a great place to be - the light, the energy, the solution. You.

Apply today.

Related Jobs

View all jobs

Junior Data Analyst

Data Analyst (24m FTC)

Data Analyst (24m FTC)

Senior Data Analyst

Senior Data Analyst - Halifax; Home Based

Senior Data Analyst

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 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.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.