Apprentice People Systems & Analytics Assistant

INSPIRE EDUCATION GROUP

PETERBOROUGH (PE1 4DZ)

Closes in 10 days (Sunday 13 September 2026)

Posted on 1 September 2026

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Summary

As part of our People Systems & Analytics team, you will gain hands on experience supporting workforce data, reporting, HR/People systems and business intelligence activities that help shape decision making across one of the region's leading education providers.

Wage

£15,392 for your first year, then could increase depending on your age

National Minimum Wage rate for apprentices

Minimum wage rates (opens in new tab)

Training course
Data analyst (level 4)
Hours
Monday to Thursday 9am - 5pm Friday 9am - 4.30pm.

37 hours a week

Start date

Thursday 1 October 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 alongside our People Systems & Analytics Manager, you will:

  • Support the administration and maintenance of our HR and people systems.
  • Assist in producing workforce reports and dashboards.
  • Help analyse key people data such as absence, staff turnover and workforce demographics.
  • Support data quality and accuracy checks.
  • Respond to routine system queries and provide user support.
  • Assist with creating guidance materials and training resources.
  • Contribute to projects that improve systems, reporting and business processes.
  • Develop valuable skills in data management, reporting and analytics.

Where you'll work

PARK CRESCENT
PETERBOROUGH
PE1 4DZ

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

Training provider

MULTIVERSE GROUP 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
  • 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

This training schedule has not been finalised. Check with this employer if you’ll need to travel to a college or training location for this apprenticeship.

Requirements

Essential qualifications

GCSE in:

  • English (grade 4 or above)
  • Maths (grade 4 or above)

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
  • Organisation skills
  • Problem solving skills
  • Number skills
  • Analytical skills
  • Logical

Other requirements

The successful candidate will be subject to a thorough vetting process which includes an enhanced DBS check and satisfactory references.

This post is exempt from the Rehabilitation of Offenders Act 1974. The Rehabilitation of Offenders Act 1974 and the Exceptions Order 1975, provides information about which convictions must be declared during job applications and related exceptions and further information about filtering offences can be found in the DBS filtering guide.

Candidates are reminded that if they are barred from working with children it is a criminal offence to apply for this position.

About this employer

Inspire Education Group is a successful provider of further and higher education with two main campuses in Cambridgeshire and Lincolnshire.

 

Leading Further Education college with over 10,000 students and 1200 staff across multiple campuses.

We are passionate about transforming lives through inspirational and innovative learning. Our mission underpins everything we do, empowering not just our students, but the employers, communities and region we serve.

https://www.ieg.ac.uk/ (opens in new tab)

Company benefits

  • 37 days annual leave, plus Bank Holidays and Christmas close down (Pro-rata for part time staff)
  • Local Government Pension Scheme
  • Benefit from a gym, free on-site parking, access to employee assistance programme and a friendly team atmosphere
  • Vivup employee benefits, including lifestyle savings, eligibility to apply for Blue Light Card, providing access to a wide range of national discounts

Disability Confident

Disability Confident

A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.

You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.

After this apprenticeship

Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).

It is anticipated that the successful candidate would transition to a data analyst or people systems analyst role.

Ask a question

The contact for this apprenticeship is:

INSPIRE EDUCATION GROUP

Leon Fox

leon.fox@ieg.ac.uk

The reference code for this apprenticeship is VAC2000050937.

Apply now

Closes in 10 days (Sunday 13 September 2026)

After signing in, you’ll apply for this apprenticeship on the company's website.