Commercial Data Analyst Apprentice

Wage: £18,000 a year
Training course: Data analyst (level 4)
Hours: Days to be confirmed, 9:00am - 5:15pm.
Start date: Thursday 30 April 2026
Duration: 2 years
Positions available: 1

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. 37 hours 30 minutes a week Start date Thursday 30 April 2026 Duration 2 years Positions available 1

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 ParkDenham Way Maple CrossRickmansworthHertfordshireWD3 9YS

Training

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

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 Designimplement the stages of the data analysis lifecycleapply principles of data classification within data analysis activityanalyse data sets taking account of different data structures and database designsassess the impact on user experience and domain context on data analysis activityidentify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriateundertake customer requirements analysis and implement findings in data analytics planning and outputsidentify data sources and the risks and challenges to combination within data analysis activityapply organizational architecture requirements to data analysis activitiesapply statistical methodologies to data analysis tasksapply predictive analytics in the collation and use of datacollaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audienceuse a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in datacollate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphsselect and apply the most appropriate data tools to achieve the optimum outcomeUse data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Designimplement the stages of the data analysis lifecycleapply principles of data classification within data analysis activityanalyse data sets taking account of different data structures and database designsassess the impact on user experience and domain context on data analysis activityidentify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriateundertake customer requirements analysis and implement findings in data analytics planning and outputsidentify data sources and the risks and challenges to combination within data analysis activityapply organizational architecture requirements to data analysis activitiesapply statistical methodologies to data analysis tasksapply predictive analytics in the collation and use of datacollaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audienceuse a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in datacollate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphsselect 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

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 skillsIT skillsAttention to detailOrganisation skillsCustomer care skillsProblem solving skillsPresentation skillsAdministrative skillsNumber skillsAnalytical skillsLogicalTeam workingInitiativeLeadershipAdaptablePassion for DataCompetent in Microsoft OfficeExcel

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.