Paul Smith Junior BI Analyst

Paul Smith is one of Britain’s leading independent design companies, driven by a spirit of curiosity, playfulness, adaptability, and passion. These values shape every aspect of the brand, whether it’s a shirt, a shop, or a special collaboration. Reaffirming the values that Paul set down in 1970, ‘classic with a twist’ remains the guiding principle of the company. Happily positioned between high fashion and formalwear, while taking reference from both, Paul Smith has always been proud to stand apart.

We have a new opportunity for a Junior BI Analyst to join our Business Intelligence team in Nottingham. This role is responsible for building and maintaining Power BI dashboards that give departments across the business clear, accurate, and actionable visibility of their key performance indicators. You will work closely with stakeholders across Digital, Retail, Merchandising, Buying, and Finance to understand their reporting needs and translate raw data into insight that supports better commercial decisions.

This is a great entry point into a career in Business Intelligence and would suit someone who enjoys working with data, is keen to learn, and who would like to grow into a broader Business Intelligence role over time.

What You’ll Be Doing

• Build and maintain accurate, well-structured Power BI dashboards for departments across the business, ensuring data is validated and fit for purpose before it reaches stakeholders.
• Partner with stakeholders across Digital, Retail, Merchandising, and Finance to understand their KPIs and translate requirements into clear, actionable dashboard design.
• Work closely with senior members of the BI team to interpret data, validate findings, and contribute to data-driven decision-making across the business.
• Support the rollout of new dashboards by gathering stakeholder feedback and iterating on design to improve usability and adoption.
• Handle and model large, complex datasets, applying Power BI (including DAX and Power Query) to create dashboards that surface trends and performance against target.
• Develop a working understanding of semantic models, learning how to structure data models that are scalable, reusable, and consistent across reporting.
• Build foundational knowledge of data lakehouse architecture and how source data flows from the lakehouse through to the reporting layer, supporting the wider BI transformation.
• Use data from across the business - including customer, sales, and channel-level data - to contribute insight that informs commercial and operational decisions.
• Translate dashboard outputs into clear, concise summaries of performance and trends for non-technical stakeholders.
• Apply data governance principles in day-to-day work, ensuring dashboards and datasets follow agreed naming conventions, access controls, and documentation standards.
• Build strong relationships across departments so that dashboard outputs lead to real action, following up on insights and outcomes.
• Explore and safely apply AI tools to support ways of working while understanding the boundaries of safe and responsible AI use with company data.
• Maintain a working understanding of data governance and relevant legal requirements (e.g. GDPR) to ensure dashboards and reporting handle data responsibly and securely.
• Keep up to date with Power BI features, best practice, and industry trends.