Apprentice Human Resources Data Analyst
Safran
Wolverhampton (WV10 7EH)
Closes in 27 days (Friday 6 February 2026)
Posted on 6 January 2026
Contents
Summary
HR Data Validation and Maintenance. Main systems Workday / Workforce Autotime.
Maintaining up-to-date Headcount records, liaising with Talent Acquisition and HR Business Partners to gather and update records to ensure up-to-date headcount numbers across multiple locations.
- Wage
-
£18,000 a year
- Training course
- Data analyst (level 4)
- Hours
-
Monday to Thursday 8am to 4.45pm
Friday 8am to 12pm.
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
- Reporting handling and collation using Microsoft Suite (Excel / PowerPoint / Word Documents)
- Assisting with time and attendance queries, system issues and training
- Collaborating with the wider HR team and operations to resolve discrepancies in data
- Working to maintain/upgrade documents in line with business changes
- Participation in HR projects relating to data capture such as ad hoc events and activities
- Supplying accurate data to the Communications Team in regard to headcount to facilitate targeted comms
Where you'll work
Stafford Road
Wolverhampton
WV10 7EH
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
QA 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
Requirements
Essential qualifications
GCSE in:
- English (grade 4)
- Maths (grade 4)
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
- Problem solving skills
- Administrative skills
- Number skills
- Analytical skills
- Logical
- Team working
- Creative
Other requirements
- DBS Check
- BPSS Security Check]
- Right to work in the UK
About this employer
In the United Kingdom, Safran Aerospace designs, develops, manufactures and supports a comprehensive range of solutions for ministries of defence, integrators, aircraft manufacturers, airlines, business-jet operators and many other customers worldwide. We help make military missions more effective, pilots more aware and flights safer and more enjoyable. We are strongly committed to investing in the UK, where Safran Aerospace provides a workforce that adds value to the UK economy and supports the extended supply chain. We create our own intellectual property and contribute to the exportation of aerospace and defense products and systems outside Europe. Through our collaboration with the European aerospace and defense industrial base, including small and medium-sized enterprises and mid-caps, Safran Aerospace in the UK brings affordable and disruptive technologies and capabilities to the collective development, competitiveness and security interests of Europe. World-class facilities combine with a dedicated and talented workforce from across the UK to create a single-minded commitment: redefining aerospace in ways that expand what our customers can achieve.
After this apprenticeship
Senior Data Analyst.
Ask a question
The contact for this apprenticeship is:
QA LIMITED
The reference code for this apprenticeship is VAC2000007209.
Apply now
Closes in 27 days (Friday 6 February 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.