Commercial Data Analyst Apprentice

RENAULT U.K. LIMITED

Hertfordshire (WD3 9YS)

Closes in 21 days (Saturday 31 January 2026 at 11:59pm)

Posted on 8 January 2026

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Summary

To assist the Commercial Programmes Manager in the construction and deployment of the quarterly PAC Cycle with the dealer network.

Wage

£18,000 a year

Check minimum wage rates (opens in new tab)

Training course
Data analyst (level 4)
Hours
Days to be confirmed, 9:00am - 5:15pm.

38 hours a week

Start date

Monday 2 February 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

  • Project owner, ensuring all commercial departments are aware and able to use the report to quickly understand the commercial market conditions (PC)
  • Develop and report on daily activity for the Renault Group, through the daily registrations and order reports
  • All reporting on event efficacy, with feedback and proposals on future commercial promotions
  • Support the Commercial Programmes Manager with sales alert communication and offer grids to our retailer network
  • Support the commercial programmes manager to facilitate the motability programme for Renault Brand in the UK

Where you'll work

The Rivers Office Park
Denham Way Maple Cross
Rickmansworth
Hertfordshire
WD3 9YS

Training

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

Training provider

JUST IT TRAINING 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

  • Data Analyst Level 4 Apprenticeship Standard
  • You will also receive full training and support from the Just IT Apprenticeship Team to increase your skills

Requirements

Essential qualifications

GCSE in:

  • English (grade C/4 +)
  • Maths (grade C/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
  • Customer care skills
  • Problem solving skills
  • Presentation skills
  • Administrative skills
  • Number skills
  • Analytical skills
  • Logical
  • Team working
  • Initiative
  • Leadership
  • Adaptable
  • Passion for Data
  • Competent in Microsoft Office
  • Excel

About this employer

Renault Group is an international automotive company that designs, manufactures, and sells vehicles under brands including Renault, Dacia, and Alpine, and is transforming into a next-generation automotive and mobility company.

After this apprenticeship

Potential full-time position for the right candidate after completion of the apprenticeship.

Ask a question

The contact for this apprenticeship is:

JUST IT TRAINING LIMITED

The reference code for this apprenticeship is VAC2000007587.

Apply now

Closes in 21 days (Saturday 31 January 2026 at 11:59pm)