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- Tasks: Analyse data, develop dashboards, and improve service performance.
- Company: Bellrock is a tech-driven company focused on advanced building systems and customer satisfaction.
- Benefits: Enjoy flexible working, 25 days leave, wellness programs, and more perks.
- Why this job: Join a vibrant team, make an impact, and grow your career in a supportive environment.
- Qualifications: Strong analytical skills, Excel proficiency, and knowledge of CAFM systems required.
- Other info: Work two days onsite in Chichester; the rest is remote.
The predicted salary is between 28800 - 43200 £ per year.
At Bellrock, we harness technology to provide our customers with advanced building systems and peace of mind. We are technology-led and people-driven. When you join Bellrock, you will have everything you need to excel at work, because our people are the heart of our business. We are committed to helping them shine.
Every role is vital in delivering peace of mind to our customers. Each contribution drives us forward, enabling us to deliver value and build leading systems. As a Customer Service Data Analyst, you will:
- Collect, cleanse, and analyze data from CAFM systems and other operational platforms related to maintenance activities.
- Develop and maintain dashboards, scorecards, and KPI reports for stakeholders.
- Monitor service performance against SLAs, KPIs, and compliance targets.
- Identify trends, inefficiencies, and areas for operational improvement.
- Support monthly and quarterly reporting processes.
- Perform root cause analysis for service failures and recurring issues.
- Collaborate with operational teams to ensure accurate data capture.
- Assist in audits and data provision for reviews.
- Develop predictive models to aid decision-making in asset management.
- Present findings and recommendations to leadership and clients.
If you are ready to energize our business and share in our success as a Customer Service Data Analyst, you will need:
- Strong analytical and problem-solving skills.
- Proficiency in Excel (advanced), Power BI, or similar tools.
- Knowledge of CAFM systems like Concept, Planon, Maximo.
- Excellent communication skills for non-technical audiences.
- Attention to detail and data integrity.
- Ability to manage multiple projects independently.
- Understanding of facilities management KPIs and experience in the public sector or service delivery.
- Knowledge of asset management principles.
- Certification in Power BI, Tableau, or similar tools.
We support flexible working, with the role requiring two days a week onsite at 25 West Street, Chichester, and the rest remote.
Our benefits include 25 days annual leave, pension scheme, life cover, sick leave, wellness programs, enhanced parental leave, salary sacrifice schemes, holiday purchase, discount schemes, healthcare cash plan, and more.
We promote diversity and inclusion, creating a workplace where everyone can be themselves, supported to learn, and achieve more. Join us for a rewarding career with opportunities for growth, flexible work, and wellbeing support.
We are committed to our people’s success. If you are ready to begin your career journey with Bellrock, we welcome your application. Join us and be part of a vibrant, energetic team. Apply today.
Customer Service Data Analyst employer: Bellrock Group
Contact Detail:
Bellrock Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Service Data Analyst
✨Tip Number 1
Familiarise yourself with CAFM systems like Concept, Planon, or Maximo. Understanding these tools will not only help you in the role but also show your potential employer that you're proactive and ready to hit the ground running.
✨Tip Number 2
Brush up on your Excel and Power BI skills. Since these are crucial for data analysis and reporting, consider taking a quick online course or tutorial to demonstrate your commitment to mastering these tools.
✨Tip Number 3
Prepare to discuss your experience with KPIs and service delivery in the public sector. Be ready to share specific examples of how you've used data to drive improvements in previous roles, as this will resonate well with the hiring team.
✨Tip Number 4
Showcase your communication skills by practising how to present complex data findings in a simple way. This is key for the role, so consider preparing a mock presentation to refine your ability to convey insights to non-technical audiences.
We think you need these skills to ace Customer Service Data Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Customer Service Data Analyst at Bellrock. Familiarise yourself with the key tasks such as data analysis, dashboard development, and performance monitoring.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your analytical skills, proficiency in Excel and Power BI, and any experience with CAFM systems.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and how your skills can contribute to Bellrock's mission. Mention specific examples of past achievements that demonstrate your problem-solving abilities and attention to detail.
Highlight Relevant Certifications: If you have certifications in Power BI, Tableau, or similar tools, make sure to mention them prominently in your application. This will show your commitment to professional development and your readiness to excel in the role.
How to prepare for a job interview at Bellrock Group
✨Showcase Your Analytical Skills
As a Customer Service Data Analyst, your analytical prowess is key. Be prepared to discuss specific examples of how you've used data analysis to solve problems or improve processes in previous roles.
✨Familiarise Yourself with CAFM Systems
Since knowledge of CAFM systems like Concept, Planon, or Maximo is essential, make sure you understand their functionalities. If possible, mention any experience you have with these systems during the interview.
✨Prepare for Technical Questions
Expect questions about your proficiency in tools like Excel and Power BI. Brush up on advanced features and be ready to explain how you've used these tools to create dashboards or reports in the past.
✨Communicate Clearly
You'll need to present findings to non-technical audiences, so practice explaining complex data insights in simple terms. This will demonstrate your communication skills and ability to engage with diverse stakeholders.
