Data Analyst- Education in London

Data Analyst- Education in London

London Full-Time 30000 - 40000 £ / year (est.) Home office (partial)
London Business School

At a Glance

  • Tasks: Analyse student data and deliver insights to support decision-making in education.
  • Company: Join the London Business School, a global leader in business education.
  • Benefits: 27 days annual leave, generous pension, free gym, and professional development opportunities.
  • Other info: Hybrid working model with core hours and a focus on inclusion and belonging.
  • Why this job: Make a real impact on education while working in a vibrant, collaborative environment.
  • Qualifications: Strong analytical skills, advanced Excel, and experience with large datasets required.

The predicted salary is between 30000 - 40000 £ per year.

London Business School is looking for a Data Analyst to join the Degree Education Transformation & Data team. In this role, you will support strategic and operational decision-making through the delivery of high-quality data analysis, reporting and insights across Degree Education.

You will analyse student data, produce management information and support statutory reporting requirements including HESA and HESES returns. You will also contribute to survey analysis, reporting improvements and the development of dashboards and data-led solutions that support colleagues across the School.

You will have strong analytical skills, advanced Excel capability and experience working with large datasets. Knowledge of SQL, VBA and Power BI would be advantageous, alongside excellent communication skills and a collaborative approach.

This is an exciting opportunity to join a world-leading business school and play a key role in supporting innovation, insight and continuous improvement across Degree Education.

Main Responsibilities
  • All aspects of job delivered on time and to high quality.
  • Compliance with necessary regulations and processes.
  • Proficiency in using the School systems to fulfil regular job requirements and provide support/training to colleagues when required.
  • Development of relationships within and outside the team, and positive feedback from colleagues.
  • Improvements to processes and procedures.
Who we are looking for
  • Advanced experience with Microsoft Excel and other systems and tools associated with accessing, analysing and visually presenting data to a variety of audiences.
  • Working knowledge of VBA and SQL.
  • Experience producing statutory returns like HESA and HESES.
  • Experience with survey software desirable.
  • Experience of PowerBi desirable.
  • Good communication skills and the ability to break down technical issues and explain them in simple terms.
  • Excellent organisational skills and meticulous attention to detail.
  • Strong analytical and problem-solving skills.
  • Positive experience of working within a customer-services orientated environment.
What you can expect from us
  • Generous annual leave of 27 days PLUS extra between Christmas and New Year!
  • Generous pension package, 14.5% employer contribution (in return for employee enrolment and contribution).
  • 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.

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 2 days per week.

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 & 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.

London Business School

Contact Details:

London Business School Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst- Education in London

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We think you need these skills to ace Data Analyst- Education in London

Problem-Solving Skills
Communication Skills
SQL
Python
Attention to Detail
Automation
Data Governance

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at London Business School, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at London Business School. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at London Business School

Brush Up on Your Statistics

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Get Comfortable with Python and R

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Prepare for Case Studies

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