Data and Exams Assistant Apprentice Level 4
TRINITY MULTI ACADEMY TRUST
Sowerby Bridge (HX6 2NW)
Closes in 20 days (Tuesday 30 June 2026)
Posted on 10 June 2026
Contents
Summary
- To work as part of the Data & Exams team to deliver a high-quality service supporting the Data & Exams team.
- To support and assist in the efficient administration of academy data.
- To support and assist in the efficient administration of academy examinations.
- Wage
-
£15,392 to £24,454.04, depending on your age
National Minimum Wage
- Training course
- Data analyst (level 4)
- Hours
-
37 hours per week (1 day of study time per week), term time only, plus 8 additional days per year.
37 hours a week
- Start date
-
Wednesday 1 July 2026
- Duration
-
2 years
- Positions available
-
1
Work
Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.
What you'll do at work
- Analyse student performance, attendance, behaviour and progression data to identify trends, patterns and areas for improvement.
- Support evidence-based decision-making through the provision of analytical insights.
- Gather stakeholder requirements and translate them into meaningful reports and dashboards.
- Develop and maintain dashboards and visualisations to support monitoring of student performance and operational KPIs.
- Present data using appropriate visualisation techniques to support interpretation and decision-making.
- Identify and resolve data quality issues, ensuring completeness, consistency and accuracy of Academy datasets.
- Apply basic statistical techniques to analyse performance, attendance and examination outcomes.
- Compare trends across cohorts and time periods to identify significant patterns.
- Use analytical tools such as Excel, Power BI, MIS reporting tools and other business intelligence software to support reporting and analysis.
- Produce analytical reports containing findings, conclusions and recommendations for improvement.
- Present data findings and analytical insights to academy staff and leadership teams through reports, presentations and dashboards
- Ensure all data is handled, stored and shared in accordance with GDPR, Data Protection legislation and academy policies.
- Work as part of the Data & Exams team to support in the collection, checking and production of a range of data relating to the academy and its students and staff.
- To assist in the admissions and enrolment processes, in particular relating to supporting processes, ensuring students have accurate timetables.
- To assist with the administration and maintenance of general student data.
- Support in the creation of and regular running of key reports from certain systems, including the primary Management Information System (MIS).
- Support with enquiries from students and staff relating to assessments and examinations – both entries, results and the examinations themselves.
- Support the Exams Officer to ensure examinations and assessments run smoothly within the academy.
- To support in the analysis of key assessment, examinations, attendance and behaviour data within the academy.
- To support in the production and checking of student reports and assist in sending these electronically to parents.
Where you'll work
Albert Road
Sowerby Bridge
HX6 2NW
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
CALDERDALE COLLEGE
Training course
Data analyst (level 4)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
- implement the stages of the data analysis lifecycle
- apply principles of data classification within data analysis activity
- analyse data sets taking account of different data structures and database designs
- assess the impact on user experience and domain context on data analysis activity
- identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
- undertake customer requirements analysis and implement findings in data analytics planning and outputs
- identify data sources and the risks and challenges to combination within data analysis activity
- apply organizational architecture requirements to data analysis activities
- apply statistical methodologies to data analysis tasks
- apply predictive analytics in the collation and use of data
- collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
- use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
- collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
- select and apply the most appropriate data tools to achieve the optimum outcome
- Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
- implement the stages of the data analysis lifecycle
- apply principles of data classification within data analysis activity
- analyse data sets taking account of different data structures and database designs
- assess the impact on user experience and domain context on data analysis activity
- identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
- undertake customer requirements analysis and implement findings in data analytics planning and outputs
- identify data sources and the risks and challenges to combination within data analysis activity
- apply organizational architecture requirements to data analysis activities
- apply statistical methodologies to data analysis tasks
- apply predictive analytics in the collation and use of data
- collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
- use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
- collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
- select and apply the most appropriate data tools to achieve the optimum outcome
Training schedule
Requirements
Desirable qualifications
GCSE in:
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- IT skills
- Attention to detail
- Problem solving skills
- Analytical skills
About this employer
Trinity Academy Grammar is an ambitious and inclusive 11-16 academy that has had a plethora of successes. In February 2023 Ofsted graded the academy as good with outstanding features in leadership and personal development. This followed being awarded the World Class School mark in 2021. These transformational changes mean that it is an exciting time to join the academy, we are incredibly proud of our successes, and we are looking for the best people to work alongside our already committed team to continue our journey.
Results achieved in 2024 made us one of the highest-performing schools for progress in the Calderdale local authority and in 2025 we achieved the best Attainment 8 score in the academy’s history. Aspirations and ambitions are high; however, the academy is determined not to rest on its laurels and is continually striving for ways to better serve the students.
Trinity MAT is a high performing and successful cross-phase trust. The trust also collaborates extensively with schools across the country through the Trinity Institute of Education, West Yorkshire Maths Hub and White Rose Education initiatives. Through this support and our world class CPD offer you will receive professional development like no other.
After this apprenticeship
This would be the foundation of becoming a School Data Manager or Exams Office.
Ask a question
The contact for this apprenticeship is:
CALDERDALE COLLEGE
Scarlett Whitehead
scarlett.whitehead@calderdale.ac.uk
The reference code for this apprenticeship is VAC2000036286.
Apply now
Closes in 20 days (Tuesday 30 June 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.