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- Tasks: Transform data into insights and support decision-making across the business.
- Company: Join a growing organisation in the leisure and hospitality sector.
- Benefits: Competitive salary, strong exposure to senior stakeholders, and career growth opportunities.
- Other info: Dynamic environment with a focus on data-driven decision making.
- Why this job: Make a tangible impact by driving operational and commercial improvements through data.
- Qualifications: Experience in BI or Data Analyst roles with strong Power BI and SQL skills.
The predicted salary is between 40000 - 42000 £ per year.
Location: Onsite, 5 days per week (South Midlands / Cotswolds area)
Salary: £40,000 – £42,000
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 events, and connect with potential colleagues 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 BI-related questions. Think about how you can showcase your Power BI and SQL skills through real-life examples. We want to see you shine, so be ready to demonstrate your analytical prowess!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and interests. When you find a role that excites you, apply through our website to ensure your application gets the attention it deserves!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Use this opportunity to reiterate your enthusiasm for the role and how you can contribute to their data-driven decision-making.
We think you need these skills to ace Business Intelligence Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Business Intelligence Analyst role. Highlight your experience with Power BI, SQL, and any relevant data analysis projects. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can help us turn insights into action. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical thinking and attention to detail. Share examples of how you've used data to drive decisions or improve performance in previous roles. We’re all about those actionable 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 the best chance to show us what you’ve got. Let’s make this happen!
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 current trends and challenges. This will help you tailor your answers and show that you're not just a data whiz, but also someone who understands how data impacts business decisions.
✨Prepare for Stakeholder Engagement
Think about 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 stakeholders effectively.
✨Showcase Your Analytical Thinking
Be prepared to discuss how you've identified trends and opportunities in your previous roles. Think of specific instances where your analysis led to operational improvements or strategic decisions, and be ready to share those stories.