(App839) Apprentice Data Analyst
Calderdale College
West Yorkshire (HX1 3UZ)
Closes in 29 days (Saturday 20 June 2026)
Posted on 22 May 2026
Contents
Summary
We are seeking a motivated and detail-oriented Data Analyst to join our busy Data Services team. This role is central to supporting the college by providing high‑quality data insights that help inform decision-making and improve outcomes for learners.
- Wage
-
£26,767 a year
- Training course
- Data analyst (level 4)
- Hours
-
Monday-Friday. Shifts to be confirmed.
37 hours a week
- Start date
-
Sunday 21 June 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
You will play an important part in analysing information, producing reports and ensuring data is accurate, accessible and meaningful across the organisation.
In this role, you will work with tools such as Power BI, SQL and our internal systems to prepare, clean and analyse data. You will help identify trends, support strategic planning and ensure all reporting is delivered to a high standard. You will also collaborate with colleagues across the College to understand their data needs and provide clear, insightful information that supports their work. The post also includes supporting the maintenance of MIS systems and ensuring compliance with GDPR and data protection requirements.
We are looking for someone who delivers excellent customer service, has strong organisational skills and works accurately to deadlines. You should be proactive, eager to learn and able to demonstrate good analytical and problem-solving abilities. Strong IT skills and an interest in data, reporting and continuous improvement are essential.
Depending on the successful candidate’s qualifications, we would expect them to undertake the Level 4 Data Analyst Apprenticeship Standard as part of the role.
To attend a course of study and undertake required assignments, projects and tests within the required timescales.
To make appropriate and effective use of information technology such as Power-Bi and College systems, ensuring all information is accurate and up to date.
To ensure that all tasks are completed to agreed timescales, standards of accuracy and presentation. This may include the cleaning and engineering of raw data and communication of information via Power-Bi dashboards.
Liaise with the client and colleagues from other areas of the organisation to establish reporting needs and deliver insightful and accurate information.
To develop a thorough knowledge of good Data Management working practices, quality customer care, IT systems, Databases and technical skills required to provide valuable data insights and communicate Departmental performance.
Analyse trends and patterns in data to support strategic decision-making.
Ensure compliance with GDPR and data protection legislation.
To assist with maintaining current MIS systems.
Use SQL/SSRS and other relevant software to write and develop dynamic reports from a range of MIS databases.
Where appropriate, undertake the Data Analyst L4 Apprenticeship Standard.
Where you'll work
Francis Street
Halifax
West Yorkshire
HX1 3UZ
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
Essential 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
- IT skills
- Attention to detail
- Customer care skills
- Problem solving skills
Other requirements
Passing a Disclosure and Barring Service (DBS) check.
About this employer
Calderdale College was established in 1896. Calderdale College is at the forefront of post-16 education, apprenticeships and higher education in the region, inspiring students to achieve more and aim higher. With exceptional, modern facilities, strong employer partnerships and personalised student support, the College creates environments where talent is nurtured and ambition thrives.
After this apprenticeship
To be discussed on completion.
Ask a question
The contact for this apprenticeship is:
CALDERDALE COLLEGE
The reference code for this apprenticeship is VAC2000033147.
Apply now
Closes in 29 days (Saturday 20 June 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.