At a Glance
- Tasks: Lead data and analytics for student recruitment, ensuring high-quality reporting and insights.
- Company: The University of Leeds, a vibrant institution focused on innovation and collaboration.
- Benefits: Flexible working arrangements, campus-based role, and opportunities for professional growth.
- Other info: Join a dynamic environment with a focus on developing data capabilities.
- Why this job: Make a real difference in student recruitment with impactful data-driven decisions.
- Qualifications: Experience in data analytics and a passion for collaboration across teams.
The predicted salary is between 35000 - 42000 £ per year.
The University of Leeds is seeking a data and analytics professional to develop and maintain high-quality data, reporting and insight for Integrated Student Recruitment.
The role is campus-based with hybrid options and flexible working arrangements where possible.
You will collaborate with Admissions, Marketing, International, BI & Data Analytics and other services to deliver user-friendly reporting, embed data accuracy and build capability across teams for confident data use.
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Hybrid Admissions Data & Operations Lead in Leeds employer: University of Leeds
The University of Leeds is an exceptional employer, offering a vibrant work culture that fosters collaboration between academia and industry. With opportunities for hybrid working, generous holiday allowances, and a robust pension scheme, employees are supported in their professional growth while contributing to meaningful research and innovation initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Admissions Data & Operations Lead in Leeds
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like University of Leeds.
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When you find a suitable opening like Hybrid Admissions Data & Operations Lead at University of Leeds, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Hybrid Admissions Data & Operations Lead in Leeds
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at University of Leeds, 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 University of Leeds. 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 University of Leeds
✨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!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at University of Leeds!
✨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.