SELECT experienced, dedicated, self-motivated
FROM a pool of talented data analysts AS candidates
WHERE passion_for_providing_data_based_insight = TRUE
AND analytical skills = 'strong'
AND CONTAINS (experience, 'work with complex datasets', 1) > 0
We are looking for an experienced Data and Insights Analyst to join Business Information and Strategic Insights team to help us deliver academic and strategic planning service through provision of management information and data analysis. If you are data curious, excited about deriving insights from data, and motivated by having an impact on the University's decisions, we want to hear from you.
What we offer
- A variety of challenging work in the team that embraces, advocates and drives change, has curious mind set and always seeks opportunities to improve and automate business processes.
- Benefits including 41 days' annual leave (inclusive of public holidays), family-friendly initiatives, public transport season ticket loan, rental deposit scheme and an attractive pension scheme.
- Excellent training and development opportunities - we support continuous self-learning and upskilling.
- Access to leading self-service technologies for data preparation, analysis and visualisation.
Role responsibilities
The primary focus of the role is to lead the development of solutions for provision of business intelligence information (BI) and performance indicators in all aspects of the University education activity, and to prepare analysis of quantitative data required by a variety of internal stakeholders. This includes but is not limited to analysis of student survey results, examination results and student equality, diversity and inclusion metrics.
You will work collaboratively across the University to provide high quality, comprehensive, rich data analysis and insights with which to answer complex, strategic business questions. You will need to develop effective relationships with key stakeholders across the wider Collegiate University to address education-related business information needs as well as anticipate future developments.
Your skills
- You have experience with analysis of large and complex data sets.
- You have working knowledge of best practices in processing and storing data, and experience in the use of data manipulation and visualisation tools such as Alteryx/Tableau/Power BI.
- You are curious and analytical and be able to explain the "so whats" behind the numbers.
- You have good attention to detail whilst able to maintain a view of the bigger picture.
- You have excellent written and verbal communication skills as well as presentation skills.
- You had good time management skills, are able to work under pressure and to switch between multiple tasks.
Location
The University is supportive of hybrid working, where some work is undertaken on University premises and some in a remote working environment. The aim of our approach is to enable as many staff as possible to work in a hybrid way if they wish and where their role allows. The Finance Division has embraced hybrid working and is currently trialling in-person working within teams two days a week from Greenwich House and three days worked remotely pro-rata. This arrangement is temporary whilst we are actively taking on board feedback from our colleagues.
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
Funding for this post is permanent. This appointment is full-time but part-time options of up to 80% will be considered. We are open to discussion on flexible working.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a basic disclosure and a security check.
If you would like more information about this role, informal enquiries can be directed by email to Katya Samoylova, Head of Business Information and Strategic Insights, at [email protected]
If you have any questions the application process, please contact a Recruitment Administrator at [email protected].
The closing date for applications is 27th April 2023. The interviews date for the role are planned for w/c 8th May 2023.
Please quote reference AG35703 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.