NOTE: This role does not offer Relocation or Sponsorship. Applicants must be eligible to work in Isle of Man.
We're looking for a Data Graduate Trainee to join our Data & Analytics team and begin an exciting career journey in one of the fastest-growing areas of business.
This trainee opportunity has been designed to provide hands-on experience across data analytics, data science, reporting, and business intelligence. You'll work alongside experienced professionals, gain exposure to modern data tools and technologies, and develop the skills needed to become a successful data specialist.
Key Outputs
As a Data Graduate Trainee, you'll support a variety of data-focused projects while developing your technical and analytical skills. Your responsibilities will include:
- Collecting, cleaning and preparing data from multiple sources for analysis and reporting.
- Performing data analysis to identify trends, patterns and business insights. [
- Supporting the development and testing of data models and machine learning solutions.
- Creating reports, dashboards and visualisations to help stakeholders understand data-driven insights.
- Working with business teams to understand challenges and translate requirements into analytical solutions.
Essential Qualifications and Experience
- Recent graduate in Data Science, Computer Science, Mathematics, Statistics, Engineering, IT, or a related analytical discipline.
- Up to 3-4 years' experience in data analytics, data reporting, business intelligence, or related fields through employment, internships, placements, or academic projects.
- Strong analytical and problem-solving skills.
- Good communication skills with the ability to present insights clearly.
- Interest in data analytics, machine learning, and emerging technologies.
- Able to work effectively both independently and as part of a team.
Behavioural Competencies:
- Examining Information
- Interpreting Data
- Exploring Possibilities
- Providing Insights
- Team Working
Technical Competencies:
- Data Analysis
- Database Administration
- Data Integrity
- Knowledge Classification
- Research & Information Gathering
Closing Date: 11 November 2026
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