At a Glance
- Tasks: Lead the development of a University-wide business intelligence framework and deliver impactful reporting initiatives.
- Company: Join Queen's University, a leader in promoting equality and diversity.
- Benefits: Enjoy up to 8.4 weeks holiday, flexible working, and a supportive wellbeing environment.
- Other info: Be part of a diverse community committed to equality and continuous improvement.
- Why this job: Shape strategic reporting and drive organisational performance in a collaborative setting.
- Qualifications: 4+ years in business intelligence with experience in leading large-scale projects.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking an experienced Business Intelligence Manager to play a leading role in the development and implementation of a new University-wide business intelligence framework. Reporting to the Head of Strategic Performance and Business Intelligence, the successful candidate will lead the delivery of high-impact reporting initiatives that support and inform institutional decision-making.
Working closely with senior stakeholders across academic and professional services, the postholder will translate complex business requirements into scalable business intelligence solutions. They will oversee the design and delivery of semantic models, dashboards and strategic reports, ensuring the provision of accurate, timely and trusted management information across the University. This is an exciting opportunity to shape and advance the University's approach to strategic reporting and insight, working in a collaborative environment, using data to drive organisational performance and continuous improvement.
The successful candidate must meet the following essential criteria:
- A degree (or equivalent qualification) OR substantial relevant experience in similar role(s).
- A minimum of 4 years' experience delivering successful business intelligence solutions within a large and complex organisation.
- Experience in leading complex and large-scale business intelligence projects, defining requirements with senior stakeholders, and delivering institution-wide solutions.
- Experience of designing and building complex semantic models, measures, dashboards, and reports to inform decision-making at a senior management level.
- Experience of using relevant business intelligence software such as Tableau or Microsoft Power BI to deliver complex reporting environments.
- Advanced analytical and strategy acumen with the ability to translate complex data into actionable insights and communicate effectively with senior stakeholders.
This is not an exhaustive list. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information on our website.
Beyond a competitive salary, the University offers an attractive benefits package including a holiday entitlement of up to 8.4 weeks a year, pension schemes and development opportunities. We support staff wellbeing with flexible working options, work-life balance initiatives and support for physical and mental health.
Queen's University is committed to promoting equality of opportunity to all. We subscribe to Equality Charter Marks such as the Diversity Charter Mark NI and Athena Swan and have established staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ+) which help us progress equality. For further information on our commitment to Equality, Diversity and Inclusion, please visit our website.
Business Intelligence Manager in Belfast employer: Queens University
Queen's University is an exceptional employer, offering a collaborative work culture that prioritises employee wellbeing and professional development. With generous benefits including up to 8.4 weeks of holiday, flexible working options, and a commitment to equality and diversity, the University fosters an environment where staff can thrive and contribute meaningfully to strategic decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Business Intelligence Manager in Belfast
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Queens University!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Business Intelligence Manager in Belfast
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Queens University, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Queens University
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Queens University’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
