Summary

Senior BI Analyst - Microsoft Fabric Specialist

Job Introduction

Join Notting Hill Genesis (NHG) as our Senior BI Analyst and become the driving force behind our Microsoft Fabric vision. In this pivotal role, you'll shape and lead our end-to-end analytics journey using a clear six-phase framework: Assessment & Planning, Design & Architecture, Implementation & Development, Testing & Deployment, Governance & Monitoring, and Adoption & Optimisation.

You'll work at the heart of our data modernisation strategy-building lakehouse architectures, integrating with OneLake, developing Synapse pipelines, and unlocking deeper insights with Power BI. This is an opportunity to influence how a leading social housing provider uses data to deliver real impact for communities.

What you'll do

You'll be responsible for designing, developing, and maintaining BI solutions that enable effective decision-making and insight across NHG. Working independently and collaboratively, you'll lead the creation of data visualisations and analytical models using Power BI and Azure technologies.

You'll also mentor others, helping to grow BI capability across the organisation while promoting best practices in analytics, data quality, and reporting.

How you'll do it

• Develop complex BI solutions and dashboards using Power BI and Azure data services.
• Collaborate with data engineers and business users to design effective data products.
• Ensure BI systems are efficient, reliable, and aligned with NHG's business goals.
• Support colleagues by sharing knowledge and improving analytical capability across teams.
• Monitor and maintain BI solutions to ensure consistent performance and availability.
• Troubleshoot issues proactively, escalating as needed and maintaining strong communication during incidents.
• Champion data ethics, data quality, and user experience in all BI products.
• Support the ongoing development of NHG's analytics roadmap.
• Lead user-centred design for Power BI dashboards and data visualisations, ensuring intuitive, accessible, and efficient user experiences.
• Conduct UX research, analysis, and evaluation to anticipate user needs and optimise interface usability.
• Wireframe and prototype intuitive data flows using tools such as Axure RP, incorporating feedback through user testing and iteration.
• Collaborate with cross-functional teams to translate complex stakeholder requirements into ethical, privacy-focused BI solutions.
• Apply hands-on Power BI expertise to manipulate, cleanse, and visualise data effectively.
• Design and build scalable, Azure-integrated prototypes that support enterprise-level reporting and analytics.
• Mentor junior analysts on UX principles, data visualisation best practices, and human-centred design methodologies.

Responsibilities

• Deliver high-quality BI insights that drive operational and strategic improvements.
• Lead data visualisation projects, ensuring outputs are clear, accurate, and actionable.
• Translate business needs into technical solutions and communicate findings to diverse audiences.
• Maintain and improve data quality standards.
• Mentor team members and support capability building across NHG.

• Lead the end-to-end delivery of Microsoft Fabric solutions across NHG using a structured six-phase framework (Assessment, Design, Implementation, Testing, Governance, Optimisation).

• Design and develop scalable analytics architectures, including lakehouse solutions, OneLake integrations, and Synapse Data Engineering pipelines.

• Build and optimise Power BI data models, ensuring high performance, accessibility, and alignment with business needs.

• Conduct business and data maturity assessments to guide strategic planning and drive value-focused analytics initiatives.

• Implement efficient, incremental ELT patterns to improve performance, reduce cost, and streamline data flows.

• Establish and maintain Git-based CI/CD practices for reliable and repeatable deployment of Fabric components.

• Champion robust data governance using Microsoft Purview-managing RBAC, data lineage, and GDPR compliance.

The ideal candidate

We believe great service starts with great people. You'll bring curiosity, creativity, and technical excellence - along with a passion for applying data science to make a tangible difference.

Essential:

• Degree in Computer Science, Statistics, Mathematics, Economics, or related discipline.
• Proven experience in developing BI solutions using Power BI and Azure.
• Strong data modelling, cleansing, and transformation experience.
• Experience working in cross-functional teams and translating business requirements into BI products.
• Familiarity with version control systems (e.g., Git) and best practices in documentation.
• Strong communication skills and ability to mentor others.
• Awareness of ethics, privacy, and user experience principles in BI.
• Pragmatism and determination to deliver effective results.

What's in it for you?

Once you join us, you'll find plenty of opportunities to grow within our organisation. You'll also have access to a wide range of learning opportunities to help you achieve your full potential.

Benefits include:

• Excellent annual leave allowance and flexible working opportunities
• Generous pension scheme
• Enhanced maternity, paternity, and adoption pay
• Employee assistance and wellbeing services
• Health cash plan
• Staff discounts with leading retailers, gyms, and entertainment venues
• Interest-free loans (season ticket, tenancy deposit, training)
• Cycle to work scheme
• Life Assurance (4x annual salary)

All about us

Notting Hill Genesis (NHG) is one of London's largest housing associations, providing affordable homes for over 170,000 residents. We are both a landlord and a developer, with more than 60,000 homes and 10,000 more in the pipeline.

We welcome applications from everyone. We are proud to be a Stonewall Diversity Champion and a Disability Confident Employer, and we actively promote inclusion and equal opportunity for all.

Learn more: https://group.nhg.org.uk/careers/

Read about our diversity commitment: Diversity is our strength

Selection Process

Step 1: If you are interested, please send your application now!

Step 2: Attend an interview with the selection panel.

NHG reserves the right to close this vacancy early if sufficient applications are received.