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- Tasks: Transform data into insights that drive business decisions and improve performance.
- Company: Join a growing organisation in the leisure and hospitality sector.
- Benefits: Competitive salary, onsite work, and opportunities for professional growth.
- Other info: Collaborate with senior stakeholders and enhance your analytical skills.
- Why this job: Make a real impact by supporting strategic decisions with data analysis.
- Qualifications: Experience in BI or Data Analysis, strong Power BI and SQL skills required.
The predicted salary is between 40000 - 42000 £ per year.
We are working with a well-established, growing organisation in the leisure and hospitality sector, seeking a Business Intelligence (BI) Analyst to join their head office team. This is a key role focused on turning data into actionable insight, supporting decision-making across multiple areas of the business. You will work closely with senior stakeholders to deliver reporting, analyse performance, and help drive operational and commercial improvements.
Key Responsibilities
- Data Analysis & Reporting
- Design, develop and maintain dashboards and reports for business stakeholders
- Monitor and analyse key performance indicators including revenue, utilisation and customer trends
- Deliver ad-hoc analysis to support strategic and operational decisions
- Systems & Data Support
- Act as a point of contact for reporting and analytics queries
- Troubleshoot data and reporting issues across systems
- Support improvements to reporting functionality and data processes
- Ensure data accuracy, consistency and governance
- Business Performance
- Identify trends and opportunities to improve operational efficiency and performance
- Support pricing and promotional activity through data analysis
- Analyse customer behaviour including segmentation, retention and lifetime value
- Provide recommendations based on data insights
- Stakeholder Engagement
- Work closely with stakeholders across the business to understand reporting needs
- Present insights in a clear, actionable way to non-technical audiences
- Support users with dashboards and promote data-driven decision making
Requirements
- Experience in a BI or Data Analyst role
- Strong Power BI skills (including DAX)
- Solid SQL skills
- Advanced Excel
- Experience working with stakeholders and presenting insights
- Strong analytical thinking and attention to detail
Desirable
- Experience with Microsoft Fabric
- Exposure to automation tools or scripting (e.g. Python, VBA)
- Experience working with APIs or data integrations
- Background in hospitality, retail or service-led environments
This is an excellent opportunity to join a growing business where data is central to decision-making, offering strong exposure to senior stakeholders and the chance to make a tangible impact.
Business Intelligence Analyst employer: TechNET IT Recruitment Ltd
Contact Detail:
TechNET IT Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend local meetups or webinars, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common BI-related questions. Think about how you can showcase your Power BI and SQL skills through real-life examples. We want you to shine when discussing your analytical thinking and stakeholder engagement!
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications after a week or so. A quick email expressing your continued interest can set you apart from other candidates and shows your enthusiasm for the role.
✨Tip Number 4
Use our website to find roles that match your skills. We’ve got a range of opportunities waiting for you, and applying directly through us can streamline the process. Plus, it’s a great way to show you’re keen on joining our team!
We think you need these skills to ace Business Intelligence Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of a Business Intelligence Analyst. Highlight your experience with Power BI, SQL, and any relevant projects that showcase your analytical skills. We want to see how you can turn data into actionable insights!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your background fits with our needs. Don’t forget to mention your experience with stakeholders and presenting insights clearly.
Showcase Your Skills: In your application, be sure to highlight your technical skills, especially in Power BI and SQL. If you've worked with automation tools or have experience in hospitality, let us know! We love seeing how your unique skills can contribute to our team.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to attach all your documents in one go. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at TechNET IT Recruitment Ltd
✨Know Your Data Tools
Make sure you brush up on your Power BI, SQL, and Excel skills before the interview. Be ready to discuss how you've used these tools in past roles, as well as any specific projects where you turned data into actionable insights.
✨Understand the Business Context
Research the leisure and hospitality sector to understand the key performance indicators that matter. This will help you tailor your answers to show how your analytical skills can directly benefit their business.
✨Prepare for Stakeholder Engagement
Think of examples where you've successfully communicated complex data insights to non-technical audiences. Practice explaining your findings in a clear and concise manner, as this is crucial for engaging with senior stakeholders.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you've tackled data issues in the past. Prepare a couple of scenarios where you identified trends or opportunities for improvement, and explain the impact your recommendations had on the business.