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Data Analyst Apprentice – The Pirbright Institute

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Reporting to the Impact Manager
The apprentice will gather data from multiple sources, ensure accuracy, and identify trends to inform decision-making. They'll contribute to dashboards, reports, and visualisations, helping communicate insights to stakeholders.
Most of your apprenticeship is spent working
You’ll learn on the job by getting hands-on experience.
What you'll do at work
The L4 Data Analyst Apprentice in the Knowledge Exchange and Collaboration (KEC) team supports the collection, validation, and analysis of impact data to demonstrate programme outcomes. The apprentice also supports monitoring and evaluation processes, documents data practices, and collaborates with colleagues to understand reporting needs. Through developing skills in data analysis, communication, and problem-solving, they play a key role in strengthening evidence-based impact assessment.
Role responsibilities include:
- Collect and compile impact data from multiple internal and external sources.
- Clean, validate, and organise datasets to ensure accuracy and consistency.
- Analyse data to identify trends, outcomes, and insights on programme impact.
- Create reports, dashboards, and visualisations to communicate findings clearly.
- Support monitoring & evaluation frameworks and impact measurement methods.
- Work with stakeholders to understand data needs and reporting requirements.
- Document processes, data definitions, and analysis methods.
- Ensure data governance, privacy, and ethical use of information.
The successful candidate
The successful candidate will have an interest in business analysis and data and be keen to develop their skills through the apprenticeship. They will be organised, have good attention to detail, and enjoy working with data to solve problems. They will also be able to work effectively with colleagues across the Institute and be willing to learn new systems and ways of working.
Essential
- GCSEs or Functional Skills at Level 2 (GCSE 4+) in English, Science, and Maths
- Good IT skills, including Microsoft Excel and Microsoft Office
- An interest in data analysis, business improvement and project delivery
- Strong organisational skills and the ability to prioritise workload.
- Ability to work independently and as part of a team.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Desirable
- Evidence of networking skills with the ability to build effective collaborative relationships
- Basic knowledge of Python or other data analysis tools
- Experience working with databases or spreadsheets. Such as Microsoft excel
Where you'll work
The Pirbright Institute
Ash Road
Pirbright
WOKING
GU24 0NF
Apprenticeships
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
TECHNICAL PROFESSIONALS LIMITED
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
Training schedule
During this apprenticeship, you will follow a fully supported training programme with LearnTech, delivered through combined weekly remote classroom-based training, workplace assessment/training and online learning working towards completing the Data Analyst standard.


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The training covers the following core occupational duties:
https://skillsengland.education.gov.uk/apprenticeships/st0118-v1-1
Essential qualifications
- GCSE in:
- English (grade 4/C)
- Maths (grade 4/C)
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
- Problem solving skills
- Administrative skills
- Number skills
- Analytical skills
- Logical
- Initiative
Other requirements
It is a requirement to have five GCSE 9-4 grades or equivalent (including English and Maths) to apply for this type of apprenticeship. A Level 3 qualification in Computer Science and/or a numerical subject (mathematics, statistics, physics, economics) is beneficial.
Eligibility
You must meet the following eligibility criteria to apply for the role:
- Have been a UK/EEA resident for the last 3 years
- Hold valid residency status
- Have the right to work in the UK
Due to the nature of the work carried out by Pirbright, all successful applicants will be required to go through a comprehensive screening process including reference and qualification checks, financial and security clearances.
What we offer
- Generous Group Personal Pension Scheme and life cover (subject to age and earnings)
- 25 days annual leave per annum, pro rata, plus 10.5 public and privilege days
- Buy and sell annual leave
- Option to carry over up to two weeks annual leave
- Pirbright gym with subsidised membership
- Pirbright social club
- Pirbright Lifestyle Hub (employee discount site)
- Cycle to work
- Subsidised staff restaurant
- Childcare allowance
- Free onsite parking
- Electric Car charging facilities
Upon completion, the apprentice will have a qualification as a Level 4 Data Analyst.
Ask a question
The contact for this apprenticeship is:
TECHNICAL PROFESSIONALS LIMITED
The reference code for this apprenticeship is VAC2000044690.
Apply now
Closes in 25 days (Friday 21 August 2026 at 11:59pm)
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