Professional, BI Specialist

Concentrix - CA; Remote; GBP 40,000 - 60,000; Full time

Job summary

A leading global customer engagement company is looking for a Professional, BI Specialist to analyze data sets and generate actionable insights that drive operational performance. The role involves designing dashboards, ensuring data integrity, and collaborating with stakeholders to improve service delivery. Candidates should have a solid background in data analysis, experience with tools like Power BI and strong SQL skills. This is a full-time, remote position based in the UK.

Qualifications

• 2+ years of experience in data analysis or similar analytical role.
• Hands-on experience with data visualization tools like Power BI or Tableau.
• Strong SQL skills for data querying and manipulation.

Responsibilities

• Analyze large datasets to identify trends and insights.
• Design and maintain dashboards and reports.
• Communicate insights to stakeholders to support decision-making.

Skills

Data analysis

SQL

Power BI

Tableau

Statistical analysis

Communication skills

Problem-solving

Tools

CAFM systems

Excel

Python

R

Job description

Professional, BI Specialist

Job Description

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

Language Requirements:

Time Type: Full time

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