At a Glance
- Tasks: Support the Career Centre with data-driven decision-making and improve business processes.
- Company: Join London Business School, a leader in education and inclusion.
- Benefits: Generous leave, pension scheme, free gym, and professional development opportunities.
- Other info: Enjoy a hybrid work model and a vibrant, collaborative community.
- Why this job: Make a real impact by enhancing student and employer experiences through data insights.
- Qualifications: Data or analytics background, good communication skills, and attention to detail.
The predicted salary is between 30000 - 40000 £ per year.
Are you a data expert who can help drive impact within our Career Centre? We are seeking a motivated individual to support the Career Centre by enabling data-driven decision-making and driving the continuous improvement of business processes and digital platforms. In this role, you will play a key part in supporting product management and troubleshooting across the Career Centre’s systems, including data imports and exports, reporting, and issue resolution. Your work will help ensure our systems run smoothly and effectively, supporting an outstanding experience for students, employers, and staff.
Main Responsibilities
- Meticulous attention to detail
- Delivery of high-quality service in your area of specialism
- Development of relationships with colleagues
- Excellent client and stakeholder experience
- Timely response to and resolution of enquiries, requests and issues
- Projects delivered on time, on budget and to quality standards and targets
- Accuracy and integrity of data in business systems
- Production of high-quality reports, with the identification of trends and issues
Who we are looking for
- Further education or equivalent, especially in data or analytics related subject
- May hold vocational qualification
- Good communication skills and the ability to address a variety of stakeholders
- Sound working knowledge of standard IT packages, systems and/or databases
- Experience of software related to own area of specialism
- Proactive approach to relationship development with colleagues
- Meticulous attention to detail
- Excellent time management skills with the ability to organise and prioritise
- Good team working skills and the ability to work collaboratively
What you can expect from us
- Generous annual leave of 27 days plus extra between Christmas and New Year
- Automatic enrolment to a fantastic workplace pension scheme
- Free onsite gym and swimming pool
- Amazing range of professional development to support your career path
- Enhanced cycle to work scheme
- Wellbeing offering to support your physical, mental and financial health
- Up to 5 days volunteering leave/ up to 5 days paid emergency leave for staff who have caring responsibilities for a family member, dependent or friend who is ill
At London Business School, we support Smart Working - a hybrid approach designed to help you achieve a healthy work‑life balance while delivering the best outcomes for your role and the needs of our customers. All roles require a minimum of two days on campus each week to foster a vibrant, collaborative community. For this role specifically, you will be expected to be on campus at least twice per week or dependent on business needs. We operate with ‘core hours’ – 10:00-15:00 – to maximise opportunities for connection and collaboration across teams during the working day. Outside of these hours, you may still be required for meetings or collaboration based on your role and customer needs. Additionally, we offer Protected Time – a flexible, one‑hour slot, within the working week dedicated to your learning and development, wellbeing, or focused, quiet work.
Our commitment to driving inclusion and belonging
We are a globally reaching institution, committed to creating tangible and sustainable change in driving inclusion and belonging within our School, education and society at large. We are dedicated to creating an environment where everyone in our community feels they belong and thrive. This is a key school priority, and we want everyone who joins LBS to feel respected, welcomed, and heard.
Candidates needing sponsorship should assess their eligibility for a Certificate of Sponsorship by evaluating their circumstances against the relevant criteria before applying.
StudySmarter Expert Advice🤫
We think this is how you could land Business Systems & Insights Coordinator in London
✨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 London Business School!
✨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 Systems & Insights Coordinator in London
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 London Business School, 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 London Business School
✨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 London Business School’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.
