HR Data Analyst Apprenticeship - Coalville

Holcim

Coalville (LE67 1TL)

Closes on Wednesday 2 December 2026

Posted on 28 October 2026


Summary

Holcim UK are looking for a new HR Data Analyst Apprenticeship. You will be studying toward your Business Data Essentials apprenticeship L3 - Data in the People Profession.

Wage

Competitive

Competitive wage offered

Minimum wage rates (opens in new tab)

Training course
Data technician (level 3)
Hours
Monday-Friday.

37 hours a week

Start date

Wednesday 9 December 2026

Duration

1 year 2 months

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

Love finding patterns in data? Curious about how workforce insights drive big business decisions? Ready to start earning while you learn?

Then come and build your future with Holcim UK.

As an HR Data Analyst Apprentice, you'll learn how to turn raw people data into powerful insights - helping us make smarter, fairer and more effective decisions across our 4,000+ UK team.

You'll be working alongside experienced HR professionals and data analysts, getting hands on with real workforce data and reporting systems and learning how things work in the real world.

You'll build practical skills in data visualisation, HR metrics, dashboard reporting, data analysis and trends forecasting, while working towards a nationally recognised qualification.

Every day will bring something different. You'll have the chance to learn, ask questions, try things out and build your confidence as you go.

And because you'll be learning on-the-job, you'll see the impact of what you do straight away.

You don't need to know everything about HR analytics already.

We're looking for people who are curious, detail-oriented and comfortable with numbers. If you're the kind of person who enjoys solving puzzles, asking 'why?' and turning data into clear, simple stories, we'd love to hear from you.

You'll also have the opportunity to show us what you can do through a practical skills assessment, giving you the chance to demonstrate your natural ability and problem solving skills.

 

Where you'll work

Bardon Hill, Bardon Road, Coalville
Coalville
LE67 1TL

Training

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

Training provider

BABINGTON BUSINESS COLLEGE LIMITED

Training course

Data technician (level 3)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

Course contents
  • Select and migrate data from already identified sources.
  • Format and save datasets.
  • Summarise, analyse and explain gathered data.
  • Combine data sets from multiple sources and present in format appropriate to the task.
  • Use tools and/or apply basic statistical methods to identify trends and patterns in data.
  • Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
  • Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
  • Demonstrate the different ways of communicating meaning from data in line with audience requirements.
  • Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
  • Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
  • Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
  • Parse data against standard formats, and test and assess confidence in the data and its integrity.
  • Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
  • Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
  • Follows equity, diversity and inclusion policies in the organisation for a common goal.
  • Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.
  • Select and migrate data from already identified sources.
  • Format and save datasets.
  • Summarise, analyse and explain gathered data.
  • Combine data sets from multiple sources and present in format appropriate to the task.
  • Use tools and/or apply basic statistical methods to identify trends and patterns in data.
  • Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
  • Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
  • Demonstrate the different ways of communicating meaning from data in line with audience requirements.
  • Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
  • Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
  • Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
  • Parse data against standard formats, and test and assess confidence in the data and its integrity.
  • Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
  • Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
  • Follows equity, diversity and inclusion policies in the organisation for a common goal.
  • Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.

Training schedule

Founded in 1974, we've been delivering market-leading learning and talent solutions for over forty years. We’re privileged to help individuals unlock their potential and realise the value of their skills and talents. As one of the UK's largest and longest-established apprenticeship and training providers, we're proud to help organisations and individuals unlock their potential, and make skills really work for them. Upon completion of this 14 month Apprenticeship, you will have obtained your Business Date Essentials - Data In The People Profession L3 Apprenticeship.

Requirements

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Skills

  • Administrative Skills
  • Attention to Detail
  • IT Skills
  • Logical
  • Organisational Skills,

Other requirements

The closing date guidance, if a successful candidate is found before the advertised dates, the advert will close early.

About this employer

We are leaders in supplying innovative, sustainable building solutions to the UK construction industry; building progress for people and the planet. Since 1858, we’ve helped shape the UK; powering the construction of homes and hospitals, roads and railways, schools and cities alike. Our mission is to make sustainable construction a reality, through purposeful action that tackles real carbon and climate challenges. We are dedicated to helping Britain grow and thrive - by doing the right thing, doing it together, and making a difference.

After this apprenticeship

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

There is a possibility of being offered a full-time role after successful completion of the apprenticeship.

Ask a question

The contact for this apprenticeship is:

BABINGTON BUSINESS COLLEGE LIMITED

Babington recruitment team

apprentice.recruitment@pgon.co.uk

03333234050

The reference code for this apprenticeship is VAC2000061434.

Apply now

Closes on Wednesday 2 December 2026

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