At a Glance
- Tasks: Analyse data and enhance web presence to attract prospective students.
- Company: Top-ranked modern university in Scotland with a focus on innovation.
- Benefits: Flexible working hours, professional development, and a vibrant campus life.
- Other info: Dynamic team environment with opportunities for growth and creativity.
- Why this job: Join a digital transformation journey and make a real impact on student engagement.
- Qualifications: Experience in web analytics and a passion for data-driven decision making.
The predicted salary is between 27000 - 33000 £ per year.
As the #1 Modern University in Scotland (World University Rankings 2025), Edinburgh Napier University strives to deliver the best teaching, to the widest range of students who can benefit from it, in ways that are appropriate to the needs of students and employers.
Our Marketing and External Relations department is responsible for building our reputation, promoting our academic excellence, sharing our student experience, highlighting our research and innovation, driving our fundraising ambition and ensuring we engage with our alumni.
We are embarking on an exciting digital transformation journey, with significant investment in the redevelopment of the University's external website to enhance the experience of prospective students, staff, partners and other key audiences.
Web & Data Analytics Executive in Fife employer: Edinburgh Napier University
Join a forward-thinking organisation at the forefront of digital construction and skills innovation, where your expertise will directly contribute to transforming the built environment. With a strong commitment to employee development, you will benefit from extensive learning opportunities, generous annual leave, and a supportive work culture that values collaboration and innovation. Located at the BE-ST campus in Hamilton, this role offers a unique chance to make a meaningful impact while enjoying a hybrid working model and access to a range of employee benefits.
Contact Details:
Edinburgh Napier University Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Web & Data Analytics Executive in Fife
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Edinburgh Napier University!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Web & Data Analytics Executive at Edinburgh Napier University.
✨Leverage Professional Networks
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 Edinburgh Napier University.
✨Apply Directly through Our Website
When you find a suitable opening like Web & Data Analytics Executive at Edinburgh Napier University, 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 Web & Data Analytics Executive in Fife
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 Edinburgh Napier University, 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 Edinburgh Napier University. 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 Edinburgh Napier University
✨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 Edinburgh Napier University!
✨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.
