BI Specialist
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Job Description
BI Specialist focusing on data analysis within Facilities Management sector. Utilizing statistical techniques, data visualization, and stakeholder engagement to enhance operations and efficiency.
Responsibilities:
- 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 modeling and data mining to enhance reporting accuracy and support preventative maintenance and lifecycle planning.
- 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.
- 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.
- 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 utilized.
- 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.
Requirements:
- 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.
Benefits:
- Health insurance
- Retirement plans
- Flexible work arrangements
- Professional development
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