At a Glance
- Tasks: Shape our digital presence and enhance user experience through data insights.
- Company: Edinburgh Napier University, a forward-thinking institution focused on innovation.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to continuous improvement and innovation.
- Why this job: Make a real impact on our digital strategy and user engagement.
- Qualifications: Experience in web analytics and a passion for user-centric design.
The predicted salary is between 69750 - 85250 £ per year.
Edinburgh Napier University is seeking a Web & Data Analytics Executive to shape our digital presence, supporting build, delivery, testing and launch of the external website, and governance and ongoing improvements using data and user insights.
You will work with Marketing, External Relations and Information Services to ensure excellent user experience, manage tagging with Google Analytics / GTM, and provide data visualisation and performance reports in Data Studio.
Web & Data Analytics Lead - Flexible, User-Centric Insights 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 Lead - Flexible, User-Centric Insights
✨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!
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We think you need these skills to ace Web & Data Analytics Lead - Flexible, User-Centric Insights
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 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!
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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.
