Data Officer Apprentice (L3) – Doncaster Deaf Trust – Doncaster DN2 6AY – £14,526.20p/a – 37hrs/w

The Apprentice Data Officer will work with and support the Quality, Business Change and Innovation Team, under the direction of the AI, Business and Data Analyst. This is a new and exciting role within the Trust and will play an integral part in the growth and development of the Quality, Business Change and Innovation Team.

This role involves working closely with various stakeholders to understand business needs, collect, analyse data, and prepare reports that present progress and outcomes towards our organisational goals and strategic plans.  

You will maintain data integrity, ensure regulatory compliance, and support the Trust’s commitment to providing high-quality education and support services. 

By nature of the responsibility, the following list is not exhaustive but is a guideline as to the main requirements of the role. The Apprentice Data Officer must be willing, flexible and prepared to carry out reasonable tasks not necessarily covered within this job description.  

General Duties 

To assist in collecting, cleaning, and organising data from various sources, ensuring its accuracy and completeness. 

To use statistical tools and software to analyse data and identify trends and patterns. 

To support the development and maintenance of databases and data systems. 

To conduct preliminary data analysis and generate reports. 

To create visualisations such as dashboards and graphs to present data insights for multiple departments and stakeholders. 

To collaborate with the AI, Business and Data Analyst, the wider Quality, Business Change and Innovation Team and the services leads to understand data needs and provide solutions. 

Support the AI, Business and Data Analyst to collaborate with both internal and external professionals to gather insights and understand the objectives and scope of AI and data management. 

To ensure data integrity and accuracy complies with the guidelines of General Data Protection (GDPR) and other legislative regulations and standards. 

To assist in the implementation of data governance policies and procedures. 

To stay up to date with industry trends and best practices in data management. 

To utilise the advancements of Artificial Intelligence (AI) to underpin data collection, management and reporting. 

Individual Learner Records (ILR) Data Management: 

Support the AI, Business and Data Analyst and appropriate service leads to ensure the collection, maintenance, and analysis of ILR data throughout the academic year, ensuring accurate tracking of student progress and compliance with educational standards.  

Management Information Systems (MIS): 

Work collaboratively with the AI, Business Data Analyst and IT Technical team to utilise Trust wide MIS, identifying support and training needs, identifying and troubleshooting issues, and ensuring the effective use of the system to meet the Trusts data management needs.  

Safeguarding 

All staff have a responsibility and duty of care to safeguard and promote the welfare of pupils. Staff must be aware of the systems within the trust which support safeguarding and must act in accordance with the trusts safeguarding & child protection policy and code of conduct. All staff must complete mandatory safeguarding training.  

Training 

The Apprentice Data Officer may, from time to time, be required to undertake training relevant to the key objectives and responsibilities of the Trust. There are mandatory training requirements that must be completed via Educare.  

Working Relationships 

The Apprentice Data Officer has a day-to-day working relationship with all departments and is required to cooperate fully with all members of staff and senior managers. A strong customer service focus is essential. 

The Apprentice Data Officer will be a creative and dynamic individual who is detail-orientated and a confident communicator. You will have a flair for creating solutions-based systems that enable data to be readily available, accurate and accessible.  

• Communication skills
• IT skills
• Attention to detail
• Organisation skills
• Team working
• Creative
• Basic understanding of data
• Microsoft Excel
• Familiarity with SQL
• Willingness to learn
• Familiarity with PowerBI
• Familiarity with Databridge

• English GCSE, grade 4 (Essential)
• Maths GCSE, grade 4 (Essential)