At a Glance
- Tasks: Analyse data to provide actionable insights and support decision-making across the organisation.
- Company: Join Hult International Business School's dynamic External Affairs team in London.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Other info: Flexible, fast-paced environment with opportunities for growth and collaboration.
- Why this job: Make a real impact by transforming data into valuable business insights.
- Qualifications: 2-3 years of experience in data analysis and strong SQL skills required.
The predicted salary is between 35000 - 45000 £ per year.
Hult International Business School is seeking a Data Analyst to join the External Affairs team based in London, UK. The post-holder will work closely with the Data and Analytics Manager and have a unique opportunity to positively impact the organisation by providing data analytics, developing actionable insights and delivering exceptional business value. The role suits an individual with an analytical mindset. The successful candidate will have a few years’ experience working with data and analytics and be able to work under pressure. Attention to detail is critical as the work will support decision-making across the business.
Responsibilities
- Supporting major statutory student returns, optimising the impact of those returns and using the resultant data to support the organisation.
- Collecting and analysing internal and external data and preparing reports, forecasts, models and ‘what if’ scenarios.
- Consulting with internal stakeholders (e.g., Sales, Marketing, Operations, Finance, Academic teams, etc.) to develop analyses that lead to actionable insights.
- Collating data from multiple sources and databases including sales, marketing, operations, market trends and competition, finance and customer databases to create integrated views that can be used to drive decision making.
- Designing and building reports, dashboards and analyses in Excel, SQL, Python, Salesforce, Tableau, Snowflake.
Essential Requirements
- A few years’ experience (typically 2–3 years) in a data analyst or similar analytical role.
- Exceptionally motivated, curious and strong problem-solving skills.
- Ability to interpret industry trends and business needs – analytical mindset is key.
- Understanding of database capabilities and experience of integrating, structuring and analysing large amounts of data from diverse sources.
- Ability to prioritise, meet challenging deadlines and instil urgency.
- Flexible, open-minded and agile.
- Self-directed and self-motivated with a demonstrated strength in reporting, planning and project management skills to meet deadlines.
- Strong communication skills with the ability and desire to collaborate with key business stakeholders.
- Bachelor’s degree required.
- Strong SQL skills required; experience with Python, Tableau and Snowflake is highly desirable.
- Comfortable using AI tools (e.g., Codex, Claude code or similar) and modern development environments such as VS Code to accelerate analysis, coding and reporting workflows.
Data Analyst in London employer: Education First
Hult International Business School is an exceptional employer that fosters a dynamic and collaborative work culture in the heart of London. As a Data Analyst, you will have the opportunity to make a significant impact through data-driven insights while benefiting from professional growth opportunities and a supportive team environment. With a focus on innovation and excellence, Hult offers a unique chance to develop your skills in a vibrant educational setting, making it an ideal place for motivated individuals seeking meaningful and rewarding employment.
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We think you need these skills to ace Data Analyst in London
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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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
