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- Tasks: Transform complex retail data into actionable insights for strategic decision-making.
- Company: Join a leading UK retail organisation known for quality and customer experience.
- Benefits: Competitive salary, performance bonus, private healthcare, and long-term partnership perks.
- Other info: Opportunity for growth in a data-driven environment focused on analytics.
- Why this job: Gain board-level exposure and influence key commercial decisions with your analytics skills.
- Qualifications: Experience in SQL, Power BI, and retail data analysis is essential.
The predicted salary is between 60000 - 60000 £ per year.
Join one of the UK’s most established retail organisations, operating nationally with a strong reputation for quality, customer experience, and product design. With a large store footprint and growing online presence, the business continues to invest in data and analytics to drive smarter commercial decisions across the organisation.
This is an opportunity for a Commercial Analyst to play a key role in delivering actionable insights across sales, inventory, and customer performance. Working closely with senior stakeholders, including board-level leadership, you’ll transform complex retail data into clear commercial reporting that supports strategic decision-making.
Why apply:- Board-level exposure: Deliver reporting and insights that directly support senior leadership decisions.
- High-impact analytics: Work with large retail datasets covering sales, stock, and customer performance.
- Modern BI environment: Utilise Microsoft’s BI stack to build dashboards, reporting models, and automated insights.
- Cross-functional influence: Partner with finance, operations, and marketing teams to improve commercial performance.
- Strong benefits: Competitive salary, performance bonus, private healthcare, and long-term partnership benefits.
- Growth opportunity: Develop within a data-driven retail organisation investing in analytics and reporting capability.
- SQL querying and relational database experience
- Power BI dashboard development and data visualisation
- Microsoft SQL Server and Microsoft BI stack experience
- Report development using tools such as Power BI or Report Builder
- Data modelling, data extraction, and dataset manipulation
- Retail data analysis (sales, inventory, customer metrics)
- Experience working with large datasets and automated reporting solutions
If you’re a data-driven analyst with strong BI and SQL skills looking to influence decision-making within a major UK retail business, this role offers the visibility, tools, and commercial impact to take your analytics career to the next level.
Business Intelligence Analyst in London employer: Reboot Recruit
Contact Detail:
Reboot Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your BI skills. Use real-life examples from your experience with SQL and Power BI to demonstrate how you've made an impact in previous roles.
✨Tip Number 3
Don’t just apply for jobs; tailor your approach! Research the companies you're interested in and customise your pitch to highlight how your skills can help them achieve their goals, especially in data-driven decision-making.
✨Tip Number 4
Apply through our website for the best chance of landing that dream role! We love seeing candidates who are proactive and genuinely interested in joining our team. Plus, it makes it easier for us to spot your application!
We think you need these skills to ace Business Intelligence Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the skills and experiences mentioned in the job description. Highlight your SQL querying, Power BI dashboard development, and any relevant retail data analysis experience. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how your background aligns with our needs. Don’t forget to mention your experience with large datasets and automated reporting solutions – we love that stuff!
Showcase Your Analytical Skills: In your application, include specific examples of how you've used data to drive decisions or improve performance in previous roles. We’re looking for high-impact analytics, so let us know how you’ve made a difference with your insights!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Reboot Recruit
✨Know Your Data Inside Out
Before the interview, dive deep into the types of data you'll be working with. Familiarise yourself with retail metrics like sales, inventory, and customer performance. Being able to discuss specific examples of how you've used SQL or Power BI to analyse similar datasets will show your expertise.
✨Showcase Your BI Skills
Prepare to demonstrate your experience with Microsoft’s BI stack. Bring along examples of dashboards or reports you've created in Power BI. If possible, practice explaining your thought process behind the design and how it influenced decision-making in previous roles.
✨Understand the Business Context
Research the company’s current market position and recent developments in the retail sector. Be ready to discuss how your analytical skills can help them make smarter commercial decisions. This shows that you’re not just a tech whiz but also understand the business side of things.
✨Engage with Stakeholders
Since this role involves working closely with senior stakeholders, think about how you can communicate complex data insights clearly. Prepare examples of how you've successfully collaborated with cross-functional teams in the past, highlighting your ability to influence and drive results.