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- Tasks: Transform data into actionable insights and develop stunning Power BI dashboards.
- Company: Join a forward-thinking team at Leasys UK, driving business intelligence innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic workplace with a commitment to diversity and inclusion.
- Why this job: Be at the forefront of data-driven decision-making and make a real impact.
- Qualifications: Degree in a relevant field and 2 years of analytics experience.
The predicted salary is between 28000 - 34000 £ per year.
The Business Intelligence Executive will support Leasys UK’s transition from reactive reporting to a proactive, insight-led Business Intelligence capability. The role is responsible for delivering high-quality analytical outputs, developing automated and visual reporting solutions, and supporting data-driven decision-making across the business using advanced Microsoft Excel and Power BI.
Location: Pinley House - 2 days in the office (Coventry)
Salary: £28k-£34k dependant on experience
Purpose Summary
- Design, develop and maintain robust MI and analytical outputs
- Advanced analytical modelling using Microsoft Excel
- Development and enhancement of Power BI dashboards and reports
- Identification of trends, risks and opportunities through data analysis
- Support business stakeholders with actionable, insight-led recommendations
- Contribution to the ongoing BI transformation roadmap
Necessary actions to achieve deliverables
- Ensure data integrity and consistency across reporting sources
- Work closely with stakeholders to understand reporting and insight needs
- Translate complex datasets into clear, meaningful insights
- Automate recurring reports where possible
- Continuously develop technical BI and data analytics capability
Drivers of Success
- Accuracy, reliability and timeliness of reporting and analysis
- Adoption and usage of BI dashboards by stakeholders
- Improved visibility of business performance and trends
- Continuous improvement in analytical methods and automation
Challenges
- Managing large and complex datasets from multiple sources
- Balancing ad-hoc analysis with recurring reporting deadlines
- Supporting change as the business transitions to a proactive BI model
- Ensuring stakeholder understanding and engagement with BI tools
Education level, professional qualifications, vocational training:
- Degree-level qualification (essential)
- Data, Analytics, Statistics, Mathematics, Economics or related discipline (preferred)
Required experience:
- 2 years’ experience in analytics or BI
- Advanced level using Microsoft Excel for data analysis
- Exposure to Power BI or similar data visualisation tools would be ideal but not essential
Technical Skills and Personal characteristics:
- Advanced Microsoft Excel skills (formulas, pivot tables, modelling)
- Power BI report development and dashboard creation
- Strong analytical and problem-solving skills
- High attention to detail and data accuracy
- Ability to communicate insights clearly to non-technical audiences
- Proactive, curious and keen to develop BI expertise
Business Intelligence Executive employer: Leasys
Contact Detail:
Leasys Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Executive
✨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 analytical skills. Use examples from your past experience to demonstrate how you've tackled complex datasets and delivered actionable insights.
✨Tip Number 3
Show off your skills with a portfolio! Create a few sample reports or dashboards using Power BI or Excel that highlight your ability to turn data into meaningful insights. This will give you an edge over other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Business Intelligence Executive
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Business Intelligence Executive role. Highlight your experience with Microsoft Excel and Power BI, and showcase any relevant projects that demonstrate your analytical skills. We want to see how you can contribute to our proactive, insight-led approach!
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 skills align with our needs. Be sure to mention your understanding of BI transformation and how you can help us achieve our goals.
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them! Provide examples of how you've identified trends or automated reports in previous roles. We love seeing real-world applications of your expertise!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy—just follow the prompts and submit your materials!
How to prepare for a job interview at Leasys
✨Know Your Tools Inside Out
Make sure you’re well-versed in Microsoft Excel and Power BI. Brush up on advanced functions, pivot tables, and dashboard creation. Being able to demonstrate your technical skills during the interview will show that you’re ready to hit the ground running.
✨Understand the Business Needs
Before the interview, research Leasys UK and their current BI capabilities. Think about how you can contribute to their transition from reactive reporting to a proactive model. Be prepared to discuss how you would identify trends and provide actionable insights based on data.
✨Prepare for Scenario Questions
Expect questions that ask you to solve problems or analyse data on the spot. Practice explaining your thought process clearly and concisely. This will help you showcase your analytical skills and ability to communicate complex information to non-technical stakeholders.
✨Show Your Curiosity and Proactivity
Demonstrate your eagerness to learn and grow in the BI field. Share examples of how you’ve taken initiative in past roles, whether it’s automating reports or enhancing data visualisation. This will highlight your proactive nature and commitment to continuous improvement.