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- Tasks: Transform data into actionable insights and create interactive dashboards using Power BI.
- Company: Join a forward-thinking institution focused on data-driven decision-making.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Other info: Dynamic role with opportunities to work on advanced analytics and modern platforms.
- Why this job: Make a real impact by supporting strategic decisions across the student lifecycle.
- Qualifications: Bachelor’s degree in IT or related field; strong skills in BI tools and SQL.
The predicted salary is between 35000 - 45000 £ per year.
Reporting to the Data and BI Manager, the BI Analyst will transform business requirements into actionable insights through data analysis, reporting, and visualisation. The role ensures the accuracy, reliability, and usability of BI outputs across GBS. It also involves applying advanced analytics techniques and leveraging modern platforms such as Microsoft Fabric to uncover trends, support forecasting, and improve strategic decision‑making across the student lifecycle and wider institutional operations.
Role and Responsibilities
- Develop, maintain, and enhance interactive dashboards and reports using Power BI.
- Translate business requirements into data models, KPIs, and reporting solutions.
- Conduct data analysis to identify trends and support evidence‑based decision‑making.
- Ensure data accuracy, consistency, and compliance through strong governance practices.
- Use Microsoft Fabric for data ingestion, data engineering, and analytics pipelines.
- Automate recurring reporting processes using Fabric, Power Automate, or similar tools.
- Support ETL and data integration across multiple internal and external sources.
- Perform advanced analytics, including forecasting and predictive modelling.
- Present findings through clear data storytelling and visualisation.
- Work closely with academic and operational teams to understand reporting needs.
Essential Skills and Experience
- Bachelor’s degree in computer science, IT, Data, or related field.
- Strong proficiency in BI tools preference Power BI.
- Advanced SQL and solid understanding of data modelling and DAX.
- Hands‑on experience with Microsoft Fabric.
- Experience with ETL tools and data warehousing concepts.
- Experience with Python or R for advanced analytics.
- Strong communication and collaboration skills.
- Strong documentation skills (user guides, data dictionaries).
Desirable Skills and Experience
- Awareness of AI/GenAI use cases in BI and analytics.
- Familiarity with data governance, privacy, and compliance (GDPR).
- Experience working with student‑related data (attendance, enrolment, progression, continuation).
- Experience in Higher Education (HESA, OfS reporting).
- Power BI or Microsoft Fabric certification.
- Experience with Power Automate or Fabric pipelines.
Key Result Areas
- Stakeholder Management: Build effective stakeholder satisfaction from business units deemed Data and Information team customers. Timely communication and issue resolution with internal and external stakeholders.
- Subject Matter Expert: Be the lead on at least two business areas and source systems. Gain a detailed knowledge and advanced systems expertise knowledge - front end and back end.
- Knowledge Transfer
Business Intelligence Analyst employer: Globalbanking
Contact Detail:
Globalbanking 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 meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that Business Intelligence Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards and any data analysis projects you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling knowledge. We recommend practising common BI interview questions and even doing mock interviews with friends or mentors to build your confidence.
✨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 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 BI tools like Power BI and any relevant projects that showcase your data analysis skills. 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 and how your skills align with our needs. Don’t forget to mention your experience with Microsoft Fabric and any advanced analytics techniques you've used.
Showcase Your Technical Skills: We love seeing technical skills in action! If you've worked with SQL, Python, or R, make sure to include specific examples of how you've used these tools to drive insights. This will help us understand your hands-on experience.
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 submit all your documents in one go. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Globalbanking
✨Know Your Tools Inside Out
Make sure you’re well-versed in Power BI and Microsoft Fabric. Brush up on your SQL skills and be ready to discuss how you've used these tools in past projects. Being able to demonstrate your hands-on experience will show that you're not just familiar with the tools, but that you can leverage them effectively.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples where you've transformed data into actionable insights. Think about times when your analysis led to significant decisions or improvements. This is your chance to highlight your problem-solving abilities and how you can contribute to evidence-based decision-making.
✨Communicate Clearly and Effectively
Since the role involves presenting findings, practice your data storytelling skills. Be ready to explain complex data concepts in simple terms. Use visuals if possible, as this will help convey your points more effectively and demonstrate your ability to create engaging reports.
✨Understand the Business Context
Research the company and its operations, especially in relation to the student lifecycle. Knowing how your role as a BI Analyst fits into their broader goals will help you tailor your responses and show that you’re genuinely interested in contributing to their success.