Apprentice HR Technical Support Officer
Rotherham Metropolitan Borough Council
South Yorkshire (S60 1AE)
Closes in 26 days (Sunday 20 September 2026)
Posted on 25 August 2026
Contents
Summary
Do you enjoy using technology, working with data, and learning new skills? Are you looking for an exciting opportunity to grow your skills, gain practical experience, and work towards valuable qualifications? If so, we'd love to hear from you.
- Wage
-
£15,392 for your first year, then could increase depending on your age
National Minimum Wage rate for apprentices
- Training course
- Data analyst (level 4)
- Hours
-
Monday to Friday, Flexible working patterns this will be discussed with successful candidate
37 hours a week
- Start date
-
Sunday 1 November 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
- Supporting the Management Information function
- Helping to produce, validate and distribute HR and payroll reports
- Analysing data
- Assisting with requests for management information from customers and stakeholders
Where you'll work
Riverside House
Main Street
Rotherham
South Yorkshire
S60 1AE
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
CORNDEL 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
On the job training and support from a full qualified team plus training will be provided from a training provider, full details on days etc will be confirmed if successful.
Requirements
Essential qualifications
GCSE in:
- English (grade 9-4 (A-C))
- Math (grade 9-4 (A-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
- Attention to detail
- Organisation skills
- Problem solving skills
- Administrative skills
- Analytical skills
- Logical
- Team working
Other requirements
- An interest in data, information management and analytical problem solving.
- Experience of using computer applications, including Microsoft Office products.
- Practical knowledge of spreadsheets and the ability to organise information accurately.
- Good numerical skills and an ability to interpret basic data and statistics.
- Ability to communicate clearly both verbally and in writing with a range of people.
- Ability to work accurately and pay attention to detail when handling information.
- Basic understanding of data protection, confidentiality and information security principles.
- A willingness to learn new systems, technologies and analytical techniques.
About this employer
Rotherham Council employ almost 5,000 people to provide essential services to our 260,000 residents. It also has an important role in working with other providers of public services across Rotherham for residents and 100,000 people who work in Rotherham. You could become part of a team that makes a difference.
Company benefits
Generous annual leave
Flexible work patterns
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
Data Analyst
Ask a question
The contact for this apprenticeship is:
Rotherham Metropolitan Borough Council
Chris Dyson
christopher.dyson@rotherham.gov.uk
01709 823224
The reference code for this apprenticeship is VAC2000050092.
Apply now
Closes in 26 days (Sunday 20 September 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.