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For Companies At a Glance
- Tasks: Analyse data to support business decisions and improve performance.
- Company: Join CBRE, a leading global real estate services firm.
- Benefits: Enjoy remote work flexibility with occasional visits to St Albans.
- Why this job: Be part of a dynamic team that values innovation and data-driven insights.
- Qualifications: Bachelor's degree preferred; experience in data analysis is a plus.
- Other info: Opportunity to develop skills in a supportive and inclusive environment.
The predicted salary is between 36000 - 60000 £ per year.
CMMS & Data Analyst
Job ID
227368
Posted
08-Jul-2025
Service line
GWS Segment
Role type
Full-time
Areas of Interest
Digital & Technology/Information Technology, Engineering/Maintenance
Location(s)
London – England – United Kingdom of Great Britain and Northern Ireland
CMMS & Data Analyst
Location: Remote (occasional monthly visit to St Albans)
About the Role:
As a CBRE Data Analyst, you will perform basic analysis to ensure that recommendations and business conclusions are backed by thorough data research and findings.
This job is part of the Data Science & Analytics job function. They are responsible for reviewing data that supports improving effectiveness and predicting outcomes to develop business intelligence.
What You’ll Do:
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Coordinate data aggregation and curate reports using existing business intelligence and reporting applications.
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Perform ad-hoc, strategic review of structured and unstructured data, reflecting global real estate markets and the operations of real estate assets.
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Assist with developing data structures and pipelines to organize, collect, cleanse, and standardize information to generate insights.
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Define basic data requirements and gather information using judgment and statistical tests.
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Use programming and evaluation tools, including open-source programs to plan models and extract insights.
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Apply modeling and optimization methods to improve business performance.
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Develop ad-hoc reporting based on the review of existing data sources.
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Exhibit rigor, judgment, and ability to present a detailed \’data story\’ to a business line.
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Confirm the quality and integrity of existing data sources.
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Collaborate with the agile development team to provide recommendations and communications on enhancing existing or new processes and programs.
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Have some knowledge of standard principles with limited practical experience in applying them.
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Lead by example and model behaviors that are consistent with CBRE RISE values.
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Impact the quality of own work.
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Work within standardized procedures and practices to achieve objectives and meet deadlines.
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Exchange straightforward information, ask questions, and check for understanding.
What You’ll Need:
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Bachelor\’s Degree preferred with up to 3 years of relevant experience. In lieu of a degree, a combination of experience and education will be considered. MCSE and CNE Certification preferred.
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Ability to use existing procedures to solve standard problems.
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Experience with analyzing information and standard practices to make judgments.
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In-depth knowledge of Microsoft Office products. Examples include Word, Excel, Outlook, etc.
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Organizational skills with a strong inquisitive mindset.
CBRE, Inc. is an Equal Opportunity and Affirmative Action Employer (Women/Minorities/Persons with Disabilities/US Veterans)
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CMMS & Data Analyst employer: CBRE
Contact Detail:
CBRE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land CMMS & Data Analyst
✨Tip Number 1
Familiarise yourself with the specific data analysis tools and programming languages mentioned in the job description. Being able to demonstrate your proficiency in these areas during an interview can set you apart from other candidates.
✨Tip Number 2
Showcase your ability to tell a 'data story' by preparing examples of how you've used data to drive business decisions in the past. This will help illustrate your analytical skills and your understanding of the role's requirements.
✨Tip Number 3
Network with professionals in the data analytics field, especially those who work in real estate or similar sectors. Engaging with them can provide insights into the industry and potentially lead to referrals for the position.
✨Tip Number 4
Prepare to discuss your experience with Microsoft Office products, particularly Excel, as this is crucial for the role. Be ready to share specific examples of how you've used these tools to analyse data and create reports.
We think you need these skills to ace CMMS & Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the CMMS & Data Analyst role. Emphasise your analytical abilities, familiarity with data structures, and any experience with programming tools.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and how your background fits the job description. Mention specific projects or experiences where you successfully used data to drive business decisions.
Highlight Technical Skills: Clearly list your technical skills, especially your proficiency in Microsoft Office products and any programming languages or tools you are familiar with. This is crucial for a role that involves data aggregation and reporting.
Showcase Problem-Solving Abilities: In your application, provide examples of how you've solved standard problems using existing procedures. This will demonstrate your ability to apply knowledge practically, which is essential for this position.
How to prepare for a job interview at CBRE
✨Showcase Your Analytical Skills
As a CMMS & Data Analyst, your ability to analyse data is crucial. Be prepared to discuss specific examples of how you've used data analysis in previous roles to drive business decisions or improve processes.
✨Familiarise Yourself with Relevant Tools
Make sure you are well-versed in the programming and evaluation tools mentioned in the job description. Highlight any experience you have with open-source programs or data modelling techniques during the interview.
✨Prepare Your 'Data Story'
The role requires you to present a detailed 'data story'. Think about how you can effectively communicate complex data insights in a clear and engaging way. Practice explaining your findings to someone who may not be familiar with the technical details.
✨Demonstrate Your Collaborative Spirit
Collaboration with the agile development team is key. Be ready to share examples of how you've worked in teams to enhance processes or solve problems, showcasing your ability to communicate and work well with others.