Service Data Analyst (BI Developer) en Rider Levett Bucknall
Rider Levett Bucknall · Manchester, Reino Unido · Hybrid
- Professional
- Oficina en Manchester
Title: Service Data Analyst (BI Developer)
Discipline: Built Asset Consultancy
Location: Any of our UK offices (With Hybrid Working)
Location: Any of our UK offices (With Hybrid Working)
Why RLB?
At RLB, we live by four simple ideas: Truth, Trust, Together, Tomorrow. Four values that live at the heart of RLB. A place where People Make Progress.
We value your skills, talents and unique perspectives – we think they are priceless.
Bring them to RLB and you’ll be empowered to shape our future and your career in new and meaningful ways.
We’ll give you opportunities to work on some of the most ambitious and exciting projects currently being designed and developed in the built environment sector.
You’ll continue to learn and advance as everyone who works for us is provided with a tailored training programme. Our mentoring and reverse mentoring schemes will enable you to share your expertise while gaining fresh insights.
What makes RLB unique is our inclusive culture. As an independent, employee-owned business, teamwork and collaboration lies at the heart of everything we do. Hybrid and flexible working arrangements and family-friendly policies are just some of the ways we invest in employee wellbeing.
Join us and you will thrive personally as well as professionally.
Role Overview
RLB are seeking a motivated and talented Data Analyst (BI Developer) to join our Built Asset Consultancy team. As a member of the team, you will be supporting 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 and understanding of 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, and Pipelines. Apply both ETL and ELT methodologies depending on the use case, ensuring efficient data movement and transformation aligned with the medallion architecture (Bronze, Silver, Gold layers) 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. Provide clear documentation for Power BI data models, including data lineage, relationships, and DAX logic, to support transparency and maintainability.
- 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 the design of operating models to ensure successful adoption and ongoing use of digital solutions.
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 the internal stakeholders in Service and IT to translate business requirements into actionable data solutions, ensuring consistency and best practice across the organisation.
- Engage with technical and non-technical stakeholders to understand needs and deliver tailored data products.
- Provide training and support to end-users, including 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 (including Data Factory, PySpark, OneLake) as well as DAX and Power Query.
- Proficiency in SQL, data modelling, and data integration.
- Familiarity with data analysis, statistical concepts, and data visualisation best practices.
Beneficial:
- Knowledge of Medallion Architecture principles
- Microsoft Certifications related to Data Platform (DP-300, DP-600, DP-700, PL-300)
- Transformation of data using Python
- Knowledge of construction or built environment industry data and classification standards (e.g., COBie, IFC, Uniclass).
- Experience with API integration and automation.
- Experience with Copilot or similar AI-powered productivity 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, both written and verbal, to effectively convey complex ideas to non-technical stakeholders.
- A passion for data analysis, a curious mindset, and a drive to continuously learn and improve.
- Collaborative and adaptable, with a focus on delivering value to teams and clients.
This is an exciting opportunity to become part of a growing digital and data community at RLB, fully supported by RLB experts and providing the opportunity to work with advanced Microsoft technologies and diverse disciplines across the Built Asset Consultancy service. This role is flexible in terms of location: you will be able to work between your home and your local RLB UK office. There will be a need for occasional travel within the UK to our offices to meet with our teams and gather requirements.
RLB Employee Benefits
Our culture is built around enabling you to fulfil your potential, so you can look forward to benefits that include:
Hybrid Working - Working patterns to support your work-life balance. As well as competitive maternity and paternity packages.
Well-Rewarded - A competitive salary and generous holiday entitlement. As well as the opportunity to purchase up to five extra days.
Focus On Wellbeing - We offer a number of health and wellness options, including gym membership and cycle to work schemes.
Healthcare Packages - Private healthcare insurance and medical support, including dental insurance and eyecare vouchers.
Personal Development - A continuous learning and development programme, including established APC and in-house mentoring schemes.
Additional Benefits - We offer a wide range of benefits including a season ticket loan and professional membership subscriptions.
Exceptional Exposure - You’ll have the opportunity to work on diverse projects across different sectors and regions.
Social Responsibility - We hold team and social events as well as 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. We have a responsibility to support the communities in which we live and work, and that our workforce should reflect these communities and our clients. Our talent strategy should enable us to overcome bias in the construction industry by recruiting, retaining, developing, and promoting a diverse and inclusive workforce. Find out more here: Diversity, Equity & Inclusion - RLB | Europe
If you require any reasonable adjustments to support you during any stage of the application or interview process, please contact our recruitment team at: [email protected]
