At a Glance
- Tasks: Lead web analytics projects to enhance user engagement and optimise website performance.
- Company: Edinburgh Napier University, a forward-thinking institution focused on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to improving user experiences and driving engagement.
- Why this job: Make a real difference in how prospective students and partners interact with our digital presence.
- Qualifications: Experience in web analytics, data interpretation, and strong communication skills.
The predicted salary is between 63000 - 77000 £ per year.
Edinburgh Napier University is seeking a Web & Data Analytics Executive to drive the external website’s build, testing, launch and ongoing optimisation. You will govern analytics tagging, data interpretation and user insights to improve engagement for prospective students, staff and partners.
Working with Marketing, External Relations and IS, you will maintain CMS-driven sites, create measurement plans in Data Studio, and provide data visualisations while supporting internal clients.
Web Analytics & Data Insights Lead 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 Analytics & Data Insights Lead
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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 Edinburgh Napier University.
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We think you need these skills to ace Web Analytics & Data Insights Lead
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.
