Carla Soto Quintana
St Leonards Land
- Post code
- EH8 8AQ
Monday - Thursday (8 am - 5:45 pm)
Working remotely most of the time at present
Carla is the Performance Analyst within the Prospective Student Web Content Team in Communications and Marketing.
Liaising with service managers across the University she identifies reporting and analytics opportunities that support the enhancement of the online student experience.
Carla primarily uses business and website analytics tools to provide insight and support data driven decision making in a range of user research, content design, and technical projects within the team. She is proficient in the use of statistical analysis and processing tools and languages like R and SQL.
Before joining the University, Carla worked as an early stage researcher at the University of York working on the analysis of ancient proteins.
Additionally, Carla has experience working as a Systems Analyst, with a focus on continuous improvement and software development.
Carla has an undergraduate degree in Chemistry and postgraduate degrees in Archaeological Materials Science.
Carla works across a range of projects in the team providing data analysis and insights from website analytics and other data sources within the University.
- developing the content model for the future of undergraduate degree provision
- understanding our schools’ provision for prospective undergraduates
- improving the student experience of applying for visas
- evolving the undergraduate offer holders website
Additionally, Carla has worked on the development of reports and dashboards for other teams in the University to aid in trend analysis and gather actionable insights that can help improve our services.
Carla also represents the interest of the Prospective Student Web Content Team in the University-wide project for the migration and implementation of Google Analytics 4 (GA4).
Research on the usage of subject area pages on the current degree finder shows that users spend a short amount of time on these pages looking for a link to the programme entries and don’t engage with any other content. Due to this, we are moving this subject area specific content to the programme entries.
Based on website analytics that support the website content audit done by the team in 2022, this post shows some early insight, trends and website management behaviours that impact what we can learn from website analytics.
How can we get insights from unstructured enquiry data? This post focuses on the use of natural language processing as an example of what can be done using the Student Immigration Service as a case study.