Junior BI Analyst in Nottingham

Junior BI Analyst in Nottingham

Nottingham Full-Time 28000 - 34000 £ / year (est.) Home office (partial)
Paul Smith

At a Glance

  • Tasks: Build and maintain Power BI dashboards to provide actionable insights across departments.
  • Company: Join Paul Smith, a leading independent design company known for creativity and individuality.
  • Benefits: Enjoy 60% staff discount, hybrid working, flexi-time, and 33 days' annual leave.
  • Other info: Inclusive environment that values diversity and encourages personal development.
  • Why this job: Kickstart your career in Business Intelligence with hands-on experience and growth opportunities.
  • Qualifications: Degree in Computer Science or related field; strong analytical skills and communication abilities.

The predicted salary is between 28000 - 34000 £ per year.

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.

Who you are

  • A degree (or equivalent experience) in Computer Science, Data Science, Business Analytics, or any similar degree with a strong quantitative focus.
  • Strong analytical skills and experience working with large datasets.
  • Experience using Power BI or Fabric would be advantageous.
  • Excellent communication skills and the ability to independently gather requirements from stakeholders.
  • Ability to present complex data insights clearly to non-technical stakeholders.
  • A curious nature, eager to learn and develop new skills.
  • Why you'll love working with us

Working at Paul Smith means being part of a brand that celebrates creativity, individuality and authenticity.

Even though we are a global business, we've stayed true to who we are at heart.

Our offices and shops remain welcoming and inclusive spaces built around collaboration, where we encourage our people to be themselves, reach their full potential, and play a part in creating something truly unique.

We offer a comprehensive benefits package to support your lifestyle and wellbeing, which includes a 60% staff discount and a seasonal clothing allowance.

You'll also enjoy hybrid working and flexi-time, 33 days' annual leave with the option to buy or sell holiday days, wellbeing support and other perks to keep you motivated and inspired.

Please note, this role is not eligible for visa sponsorship.

At Paul Smith, we celebrate and encourage applications from all walks of life into our growing workforce.

We are committed to empowering people from any background, belief system, or ethnicity, offering an inclusive environment where talent is recognised and valued.

#J-18808-Ljbffr

Junior BI Analyst in Nottingham employer: Paul Smith

At Paul Smith, we pride ourselves on fostering a creative and collaborative work culture that celebrates individuality and authenticity. As a Luxury Visual Merchandiser in London, you'll enjoy a comprehensive benefits package, including staff discounts and a seasonal clothing allowance, while having ample opportunities for professional growth within a renowned brand. Join us to be part of a team that values your unique contributions and encourages your passion for visual storytelling.

Paul Smith

Contact Details:

Paul Smith Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Junior BI Analyst in Nottingham

Get to Grips with Data Visualisation Tools

If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.

Join Local Business Intelligence Meetups

Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Paul Smith!

Engage with Online BI Communities

Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.

Leverage Your University’s Career Support

If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!

We think you need these skills to ace Junior BI Analyst in Nottingham

Power BI
DAX
Power Query
Data Analysis
Stakeholder Engagement
Dashboard Design
Data Governance

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at Paul Smith, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at Paul Smith

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with Paul Smith’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.