Service Data Analyst (BI Developer)

RLB International; Manchester; Hybrid; GBP 35,000 - 55,000; Full time

Job summary

A leading consultancy in built assets is seeking a motivated Service Data Analyst (BI Developer) in Manchester to provide data-driven insights and automation. The candidate will utilize Microsoft technologies like Power BI and SQL to support internal and external clients while collaborating closely with various stakeholders. The role offers hybrid working, a competitive salary, and diverse projects.

Benefits

Hybrid working patterns

Competitive maternity and paternity packages

Health and wellbeing options

Private healthcare

Continuous learning and development

Qualifications

• Experience with Power BI, SQL, and Excel required.
• Familiarity with Microsoft Fabric and ETL/ELT methodologies preferred.
• Ability to analyze and visualize data from various sources.

Responsibilities

• Extract and load data from multiple sources using SQL and Python.
• Develop and maintain reports and dashboards using Power BI.
• Collaborate with stakeholders to understand data needs.

Skills

Proficiency in Microsoft technologies

Proficiency in SQL

Familiarity with data analysis

Excellent problem-solving skills

Strong communication skills

Education

Bachelor’s degree in Computer Science or related field

Tools

Power BI

Microsoft Fabric

Python

SQL

Job description

Service Data Analyst (BI Developer)

Role at Rider Levett Bucknall RLB.

Role Overview

RLB is seeking a motivated and talented Data Analyst (BI Developer) to join our Built Asset Consultancy team. As a member of the team, you will support a range of technical disciplines – including Building Surveyors, Fire Engineers, Clerk of Works and Designers – to deliver data‑driven reporting across a range of projects. Your focus will be on delivering data‑driven insights, reporting and automation using the latest Microsoft technology stack, utilising your skills in Power BI, Microsoft Fabric, SQL, data services, APIs and Excel to deliver outputs and tools for both internal and external clients.

Role Responsibilities

1. Data Analytics & Visualisation

• Data Extraction and Manipulation: Extract and load data from multiple sources using SQL, Python, Microsoft Fabric Dataflows & Pipelines, applying ETL & ELT methodologies aligned with the medallion architecture (Bronze, Silver, Gold) to support scalable and maintainable analytics solutions.
• Data Analysis and Visualisation: Analyse structured and semi‑structured datasets to uncover patterns, trends and actionable insights. Develop and maintain visually compelling reports and dashboards using Power BI, SSRS and Excel, and provide clear documentation for data models, lineage, relationships and DAX logic.
• Implementation and Roll‑Out: Build, deploy and maintain a library of templated analytics and reporting solutions for internal and external stakeholders. Support the Service Digital Lead in developing testing protocols, user acceptance criteria and roll‑out plans; contribute to user training and operating model design.

2. Data Integration & Management

• Assist in developing and optimising data pipelines and user journeys, working with APIs and Microsoft Fabric to ensure seamless data flow.
• Support the implementation of data governance, quality and security practices in line with RLB and industry standards.
• Collaborate with the RLB Data Team to ensure alignment with the wider data architecture and strategy.

3. Collaboration & Stakeholder Engagement

• Work closely with internal stakeholders in Service and IT to translate business requirements into actionable data solutions.
• Engage with technical and non‑technical stakeholders to deliver tailored data products.
• Provide training and support to end‑users for the adoption of new data and AI tools.
• Stay up‑to‑date with emerging trends in data analytics, Microsoft Fabric, Copilot and other relevant tools.
• Contribute to the ongoing development of RLB’s digital and data strategy.

Candidate Profile

Qualifications

• Bachelor’s degree (or equivalent experience and related certifications) in Computer Science, Data Science, Information Systems or a related field.

Experience

Essential

• Strong proficiency in Microsoft technologies – especially Power BI, Excel and Microsoft Fabric (Data Factory, PySpark, OneLake), plus DAX and Power Query.
• Proficiency in SQL, data modelling and data integration.
• Familiarity with data analysis, statistical concepts and visualisation best practices.

Beneficial

• Knowledge of Medallion Architecture principles.
• Microsoft certifications related to Data Platform (DP‑300, DP‑600, DP‑700, PL‑300).
• Python data transformation experience.
• Understanding of construction or built‑environment data standards (COBie, IFC, Uniclass).
• API integration and automation experience.
• Experience with Copilot or similar AI‑powered tools.
• Exposure to machine learning, predictive analytics or AI‑driven insights.

Behaviours

• Excellent problem‑solving and analytical skills, with a detail‑oriented approach.
• Strong communication skills, written and verbal, to convey complex ideas to non‑technical stakeholders.
• Passion for data analysis, curiosity and a drive to continuously learn and improve.
• Collaborative and adaptable, focused on delivering value to teams and clients.

RLB Employee Benefits

• Hybrid working patterns to support work‑life balance.
• Competitive maternity and paternity packages.
• Well‑rewarded salary and generous holiday entitlement, including option to purchase extra days.
• Health and wellbeing options: gym membership, cycle‑to‑work schemes.
• Private healthcare, dental and eye care vouchers.
• Continuous learning and professional development programme.
• Season ticket loan and professional membership subscriptions.
• Opportunity to work on diverse projects across sectors and regions.
• Team events, charity fundraising and volunteering activities.

Our Diversity, Equity & Inclusion Promise

We believe in building a diverse and inclusive environment where each person can be themselves, feel valued for their contribution and be challenged and supported to reach their full potential. Our talent strategy is committed to overcoming bias in the construction industry through inclusive hiring, retention and development practices.

Contact

For reasonable adjustments during any stage of the application or interview process, please contact our recruitment team at [e-mail].