U
UCC Library

End-to-End Data Visualisation

3 days to apply
Apply by: 22/05/2026
Start date: 15/06/2026

Job
Description                                                       

Position Title &
Grade 

Student
Intern – End-to-End
Data Visualisation

Unit 

UCC Library  

Reports to 

Matthew
Runde, Head of Digital Projects

Contract Type  

Temporary,
short-term contract, 120 hours  

 

Role Overview  

The UCC Library
internship programme has been created to ensure the active engagement of
students in the further development of library services. The programme offers
UCC students an exciting opportunity to gain paid work experience in an
academic library environment. 

Under the general
direction of an experienced professional supervisor, the Intern will acquire
hands-on experience in a particular discipline within the library
environment.  They will work with staff from across the Library team,
engage with library clients and work collaboratively on an assigned
project.   

 

Project
details 

This project requires two
interns to work with Head of Digital Projects on development of the first phase
of the Library Business Dashboard. Interns will gain experience working in both
data and visualisation layers in SharePoint Lists, Power Query, and Power BI,
as well as engaging directly with stakeholders to develop project and client
management skills. This work will provide collaborative, practical exposure to
end-to-end delivery in a live organisational context: collaborating across
roles, managing shared and version-controlled assets, refining
audience-specific visual storytelling, working with imperfect data, and
iterating toward a defined outcome under real stakeholder constraints.

 

 

Role Responsibilities
and Activities 

Area of
accountability 

Core
Responsibilities & Typical Activities 

Tasks specific to the project

·        
Dataflows built from SharePoint Lists,
including data model and transformation logic documentation.

·        
Production-ready dashboard suite aligned
to agreed design standards, supporting portfolio-level decision-making.

·        
Supporting documentation covering
technical architecture, dashboard logic, and usage guidance.

·        
Data dictionary with logic, source,
and general audience and SME-level descriptions.

·        
Iterative stakeholder feedback
recorded and incorporated into final outputs.

·        
Assets maintained in version-controlled environments,
enabling ongoing maintenance, scalability, and reuse beyond the initial
delivery phase.

Technical and
Professional Knowledge/Skills which will be enhanced on Internship

·        
Experience delivering an end-to-end
business intelligence solution in a production environment.

·        
Exposure to data modelling and
transformation using Power Query, and dashboard development in Power BI with
a focus on usability and data storytelling.

·        
Experience working with SharePoint
Lists as live data source, including handling imperfect data.

·        
Development of documentation practices
(data dictionaries, technical and end user guidance) and version control
discipline.

·        
Direct stakeholder engagement, including presenting
outputs, eliciting feedback, learning to hear for what is not said, and
iterating based on both explicit and implicit requirements in a real
organisational context.

Teamwork  

·        
Work collaboratively and share knowledge and information with
colleagues to support the delivery of high-quality services.

·        
Develop own knowledge and skills and participate in training and
development programs.

Workplace Culture 

·        
Encourage and promote a culture that
embraces change, collaboration, engagement, client service, communication,
continuous improvement and accountability.  

 

Expected Behaviours 

The role is expected
to display personal qualities and behaviours consistent with values of the
University as outlined in the University’s Strategic Plan 2023-2028. 

Compassion 

Agility 

Integrity 

Respect 

Discovery 

Equity 

Accountability 

Sustainability 

 

Essential Criteria

Basic
familiarity with at least one programming or scripting language is required,
including understanding core concepts such as variables, functions, conditional
logic, and debugging.

Familiarity
with Excel, basic data handling concepts (e.g. data cleaning, joins,
aggregation)

Strong
analytical thinking and attention to detail.

Effective
written and verbal communication skills.

Ability
to structure work clearly and document processes.

Ability
to iterate based on direction in a live project environment.

Desirable Criteria

Background
in data analytics, information systems, computer science, or a related
discipline.

Exposure
to Power BI, Power Query, SQL, Python, JavaScript, or similar tools.

Experience
explaining technical concepts to non-technical stakeholders.

 

 

             

 

 

 

 Job
Description last reviewed:  

May 2026

 

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