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For Companies At a Glance
- Tasks: Analyse data to uncover insights and drive business decisions in Facilities Management.
- Company: Join a forward-thinking company focused on operational excellence and innovation.
- Benefits: Enjoy a competitive salary, remote work options, and opportunities for professional growth.
- Why this job: Make a real impact by optimising maintenance and asset performance through data-driven insights.
- Qualifications: 2+ years in data analysis, experience with BI tools like Power BI or Tableau.
- Other info: Collaborative environment with strong focus on continuous improvement and career development.
The predicted salary is between 36000 - 60000 ÂŁ per year.
ACCOUNTABILITIES & DELIVERABLES
- Data Analysis & Insights Generation: Analyze large datasets to identify trends, patterns and key business insights including maintenance, asset and service delivery data within a Facilities Management (FM) environment. Develop actionable insights that drive business decisions and improve operational performance with a focus on maintenance efficiency, asset performance, and supplier outcomes. Use statistical techniques, predictive modelling and data mining to enhance reporting accuracy and support preventative maintenance and lifecycle planning.
- Reporting & Visualization: Design and maintain dashboards, reports and scorecards using tools like SQL, Power BI, Looker, Tableau or Excel including outputs derived from CAFM systems. Ensure data integrity and accuracy in reporting, aligning with business needs and commercial performance requirements. Present insights in a clear and compelling manner to both technical and non‑technical stakeholders including operational FM teams and external suppliers.
- Business Problem Solving: Identify root causes of business challenges using data-driven approaches, particularly in relation to maintenance performance, service failures and cost drivers. Recommend data‑backed solutions to optimize business processes, efficiency and customer experience, supporting improved supplier performance and value for money. Work cross‑functionally with teams to implement insights‑driven strategies across the FM operations, commercial and supplier management functions.
- Performance Tracking & Continuous Improvement: Monitor key performance indicators (KPIs) and provide insights for performance enhancement. Support the development of forecasting models to aid decision‑making, such as maintenance demand, cost forecasting and resource planning. Continuously refine data methodologies to improve the accuracy of insights and reporting ensuring CAFM and maintenance data is effectively utilised.
- Stakeholder Engagement & Collaboration: Engage with key stakeholders to understand data requirements and business objectives. Communicate insights effectively to senior management and operational teams to support service performance and commercial decision‑making. Act as a strategic partner by providing data‑driven recommendations for business growth, supplier optimisation and continuous improvement in FM service delivery.
PERSON SPECIFICATION
- 2+ years of experience in data analysis, insights or a similar analytical role, ideally within the Facilities Management (FM), property, or built environment sector.
- Experience working with CAFM systems or maintenance management platforms and extracting, analysing and interpreting maintenance and asset data.
- Proven experience analysing maintenance, service delivery, or operational performance data to support commercial decisions and supplier performance management.
- Demonstrable hands‑on experience and/or relevant qualifications in data visualisation tools such as Power BI, Tableau, or Looker with the ability to design and deliver end‑to‑end dashboards and reports.
- Strong practical experience and/or formal qualification in SQL with proven capability in querying, joining, and manipulating data across multiple datasets to support analysis and reporting.
- Proven understanding of fundamental statistical analytical techniques (Process Analytical skills such as Six Sigma or Prince2 would be advantageous).
- Experience with statistical programming languages such as Python or R is a plus.
- Excellent communication and storytelling skills to convey data insights to technical and non‑technical audiences including operational and supplier stakeholders.
- Strong problem‑solving skills and attention to detail.
- Ability to develop practical solutions based on outputs of data particularly in an operational or FM context.
- Familiarity with predictive analytics and machine learning techniques is a bonus.
- Microsoft application proficiency, including Excel and PowerPoint.
Location: UK, Work at Home, GB
Time Type: Full time
Professional, BI Specialist employer: Concentrix - CA
Contact Detail:
Concentrix - CA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Professional, BI Specialist
✨Tip Number 1
Network like a pro! Reach out to your connections in the Facilities Management sector and let them know you're on the lookout for BI Specialist roles. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, dashboards, and reports. This will give potential employers a taste of what you can do and how you can add value to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your storytelling skills. Be ready to explain your data insights in a way that resonates with both technical and non-technical folks. Practice makes perfect, so run through common interview questions with a friend!
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Professional, BI Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with data analysis, BI tools, and any relevant projects that showcase your skills in a Facilities Management context. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analysis and how your background aligns with our needs. Don’t forget to mention specific tools like SQL or Power BI that you’ve mastered.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled business challenges using data-driven insights. We love seeing candidates who can think critically and come up with actionable solutions, especially in an FM environment.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Concentrix - CA
✨Know Your Data Tools
Make sure you’re familiar with the data visualisation tools mentioned in the job description, like Power BI and SQL. Brush up on your skills and be ready to discuss how you've used these tools in past roles to create impactful dashboards or reports.
✨Showcase Your Analytical Skills
Prepare examples of how you've analysed large datasets to derive actionable insights. Be ready to explain your thought process and the statistical techniques you employed, especially if you have experience with predictive modelling or data mining.
✨Communicate Clearly
Practice presenting your insights in a way that’s easy for both technical and non-technical stakeholders to understand. Think about how you can tell a compelling story with your data, as this will be crucial in engaging with senior management and operational teams.
✨Problem-Solving Mindset
Be prepared to discuss specific business challenges you've faced and how you used data-driven approaches to solve them. Highlight your problem-solving skills and how they’ve led to improved performance or efficiency in previous roles.
