Data and Analytics Apprentice

Job Description

Company: Aberdeen

Position: Data and Analytics Apprentice

Location: 1 Broadway Park, Edinburgh

Role type: Fixed term contract until end 2027

Start date: Early 2026

Closing date: 9th January 2026 (may close earlier due to volume of applications). Assessment centre will take place in February 2026.

At Aberdeen, we believe in investing in people and that starts with you. Our Data & Analytics Apprenticeship Programme is your opportunity to gain hands‑on experience, learn from industry experts, and build a career with purpose.

Whether you're a school leaver, a graduate, or someone returning to the workplace, this programme is designed to help you develop the technical and professional skills needed to thrive in the world of data.

As a Data & Analytics Apprentice you are an emerging professional embarking on a structured learning journey within both the Analytics and Data Engineering teams. Through rotational placements and involvement in real‑world projects, you will actively contribute to the delivery of data solutions while developing essential technical and analytical skills.

As a Data & Analytics Apprentice, you'll join our Adviser business and spend time with both our Data Engineering and our Insights teams. Over the course of your apprenticeship, you'll work on real projects that make a tangible impact for our clients and colleagues.

• Build dashboards and reports using Power BI
• Manage and analyse data in Microsoft Fabric, a modern cloud environment
• Apply fundamental data engineering concepts like joins, filters, and aggregations
• Explore how AI tools can streamline analytics and improve efficiency
• Understand data governance, privacy, and best practices in data management

• Coding & Modelling:
  Learn SQL for data extraction and manipulation and apply data modelling concepts in Microsoft Fabric and Power BI
• Data Visualisation:
  Create dashboards and reports that tell compelling stories
• Data Operations:
  Support data pipelines and automation tasks
• Governance:
  Follow data handling protocols and maintain data quality
• Collaboration:
  
  Work closely with mentors and team members, sharing ideas and progress

• A nationally recognised qualification in data analytics, either at SCQF 6 or SCQF 8, supporting your growth into a confident and capable data professional
• Practical experience with leading tools and technologies
• Mentorship and support from experienced professionals
• Exposure to real-world projects in a dynamic, forward‑thinking business
• A strong foundation for a long‑term career in data and technology

• A passion for data and analytics
• Curiosity and a growth mindset
• Good communication and time management skills
• Willingness to learn and embrace new challenges

Aberdeen is dedicated to fostering an inclusive environment where diversity is valued. As a Disability Confident Committed Level One employer, we welcome applications from all backgrounds and provide support throughout the recruitment process. If you require reasonable accommodations, please let us know as part of your application and we will assist.

We offer 40 days annual leave, a 16% employer pension contribution, a discretionary performance‑based bonus (where applicable), private healthcare and a range of flexible benefits including gym discounts, season ticket loans and access to an employee discount portal.

Join us in building a future where everyone can thrive. For more information visit our careers site:

We're committed to providing an inclusive workplace where all forms of difference are valued and which is free from any form of unfair or unlawful treatment. We define diversity in its broadest sense; this includes but is not limited to our diversity of educational and professional backgrounds, experience, cognitive and neurodiversity, age, gender, gender identity, sexual orientation, disability, religion or belief and ethnicity and geographical provenance.

We support a culture that values meritocracy, fairness and transparency and welcomes enquiries from everyone.