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Graduate Data Analyst

Prestige Holdings Ltd
Belfast
1 month ago
Applications closed

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Location: Belfast / Hybrid


Closing Date: Thursday 06 Nov 2025


Prestige Underwriting Services Ltd are on the lookout for a Graduate Data Analyst to join the team.


This is a great opportunity to join a small group of analysts / engineers focused on delivering bespoke solutions to real business problems. We specialise in building systems so that stakeholders can engage with data from multiple systems - with accuracy and ease of use at the forefront of what we do. Most of our working environment is focused in T-SQL, and by utilising other technologies/languages such as R, PowerBI, SSRS and Docker. We also use Atlassian stack to help drive productivity and process, ensuring smooth collaboration and project tracking across the team.


If this sounds like it would excite you, we welcome applications from recent graduates and career changers who have developed analytical skills through study, projects, or conversion courses. You don't need to be a coding expert to start — what matters is your curiosity, problem-solving mindset, and eagerness to learn. We will provide training and support to help you build strong technical skills and grow within the team.


What you'll do:

  • Learn/Develop and apply T-SQL across multiple systems to answer business questions.
  • Support the team in building and maintaining data pipelines.
  • Assist in the preparation of reporting and dashboards (SSRS, Power BI, Shiny).
  • Follow established workflows, version control, and documentation practices (Confluence, Bitbucket).
  • Work on exciting new projects.
  • Be inquisitive, and build your knowledge of processes and data.

What you'll need:

  • Degree (or expected degree) in a numerate, technical, or analytical subject (e.g. Computer Science, Data Analytics, Mathematics, Engineering, Physics, Economics, etc.)
  • Strong GCSE (or equivalent) results in Maths and English (Grade C or above).
  • Degree qualification in a STEM subject
  • Evidence of relevant coursework, projects, or dissertations involving data analysis, SQL, or programming.
  • Experience gained through a degree, internship, or personal project using date to solve problems.
  • Ability to interpret and work with datasets.
  • Strong attention to detail and accuracy
  • Ability to communicate findings clearly to non-technical audiences.

Why work with us?

  • Salary is negotiable, depending on qualifications and experience.
  • 35 hours per week - Monday to Friday, 9am to 5pm
  • 20 days annual leave plus statutory days, with additional annual leave accruing based on length of service
  • Company pension scheme
  • Private Medical Insurance available following successful completion of probationary period - you can also add family members to your policy at discounted rates.
  • Eyecare scheme
  • Life assurance
  • Employee Assistance Programme
  • Generous insurance discounts for employees and family members.
  • Continuous learning and development
  • Excellent in-house training with opportunities to gain professional qualifications through our Academy Programme

We are an equal opportunities employer


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