Data Analyst Apprentice
Whickham School
Newcastle Upon Tyne (NE16 5AR)
Closes in 23 days (Friday 7 August 2026 at 11:59pm)
Posted on 14 July 2026
Contents
Summary
Launch your career in data analytics with a hands on apprenticeship at Whickham School. Working across HR, Finance and School Operations, you'll learn how data drives decision making while developing valuable analytical and administrative skills that will prepare you for a successful career in data and business intelligence.
- Wage
-
£20,875.40 a year
- Training course
- Data analyst (level 4)
- Hours
-
Monday to Friday, 8.30am to 4.30pm.
37 hours a week
- Start date
-
Tuesday 1 September 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
Working as part of our Support Services Team, you'll use data to help improve the way the school operates while supporting a range of business functions.
You will:
- Collect, validate and analyse data from a range of school systems.
- Produce dashboards, reports and visualisations to support operational and strategic decision making.
- Identify trends and patterns in areas such as attendance, staffing, finance and school performance.
- Support managers by producing regular and ad-hoc reports to answer business questions.
- Maintain accurate records and ensure data is managed securely in line with GDPR.
- Assist with routine finance administration including processing purchase orders, invoices and maintaining financial records.
- Support the wider administration of the Business Team when required.
- Work with colleagues across the school to understand reporting requirements and improve data quality.
- Learn to use a range of analytical tools and software to manipulate and present data.
- Develop recommendations based on evidence to help improve business performance.
Where you'll work
Burnt House Lane
Whickham
Newcastle Upon Tyne
NE16 5AR
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
CITY OF SUNDERLAND 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
The successful apprentice will complete the Level 4 Data Analyst Apprenticeship Standard.
Training will combine practical workplace experience with structured off the job learning delivered by the apprenticeship provider. The apprentice will develop skills in data analysis, reporting, data visualisation, statistics, business intelligence, data governance and stakeholder communication while applying these skills in a real working environment.
Training will be delivered through a combination of workplace learning, online learning and tutor led sessions, with regular reviews and support from both the training provider and workplace mentor.
Requirements
Essential qualifications
GCSE in:
- English (grade 4-9)
- Maths (grade 4-9)
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
- Organisation skills
- Customer care skills
- Problem solving skills
- Presentation skills
- Administrative skills
- Number skills
- Analytical skills
- Logical
- Team working
- Creative
- Initiative
- Non judgemental
- Patience
- Physical fitness
- Curious and eager to learn
Other requirements
This role is primarily office based and involves working with confidential information. Accuracy, attention to detail and a professional approach are essential.
About this employer
Whickham School is a high-performing and oversubscribed 11 to 18 secondary school in Gateshead, where students and staff thrive together. We are committed to providing an outstanding learning environment and take great pride in our school site and facilities.
As a Data Analyst Apprentice, you'll become part of our Business Team, working across HR, Finance and School Operations. You'll gain practical experience with real business challenges while being supported by experienced professionals who are committed to helping you develop a successful career.
http://www.whickhamschool.org (opens in new tab)
Company benefits
- Local Government Pension Scheme
- Generous Annual Leave Entitlement
- Ongoing Training and Development
- Additional qualifications in estates and caretaking where appropriate
- Wellbeing support/employee benefits
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
This apprenticeship provides an excellent foundation for a career in data analysis, business intelligence, finance, HR analytics or operational management. Subject to performance and business needs, there may be opportunities for permanent employment at Whickham School. We are committed to developing talent and supporting further professional qualifications and career progression.
Ask a question
The contact for this apprenticeship is:
CITY OF SUNDERLAND COLLEGE
The reference code for this apprenticeship is VAC2000042541.
Apply now
Closes in 23 days (Friday 7 August 2026 at 11:59pm)