Data Insight and Project Assistant Apprentice

Summary

Monitor, analyse and report on Customer Satisfaction KPIs and trends to inform Customer action plans. Support CX Quality Assurance Manager with process compliance reporting (e.g. incentive programme follow-up, battery management processes etc)

Wage

£18,000 a year

Check minimum wage rates (opens in new tab)

£18kp/a - £20kp/a

Training course

Data technician (level 3)

Hours

Monday - Friday, between 9.00am - 5.30pm (exact shifts to be confirmed).

37 hours 30 minutes a week

Start date

Monday 16 June 2025

Duration

1 year 6 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

Deliver weekly and monthly insight reporting, highlighting key trends, changes
Provide monthly update on verbatim analysis on painpoints by brand for sales and service
Deep-dive into root causes of customer painpoints
Work with ISIT to simplify and automate reporting
Provide weekly follow-up of new model ratings (Drive to Five) highlighting under-performing dealers for follow-up
Contribute to preparation of RUK and Corporate presentations (e.g. Board report, Customer Connection, Group reviews, Customer Committee)
Assist with dealer queries via CNQR and respond within SLA timeframes

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.

College or training organisation

JUST IT TRAINING LIMITED

Your training course

Data technician (level 3)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

Course contents

Source and migrate data from already identified different sources.
Collect, format and save datasets.
Summarise and explain gathered data.
Blend data sets from multiple sources and present in format appropriate to the task.
Manipulate and link different data sets as required.
Use tools and techniques to identify trends and patterns in data.
Apply basic statistical methods and algorithms to identify trends and patterns in data.
Apply cross checking techniques for identifying faults and data results for data project requirements.
Audit data results.
Demonstrate the different ways of communicating meaning from data in line with audience requirements.
Produce clear and consistent technical documentation using standard organisational templates.
Store, manage and distribute in compliance with data security standards and legislation.
Explain data and results to different audiences in a way that aids understanding.
Review own development needs.
Keep up to date with developments in technologies, trends and innovation using a range of sources.
Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
Operate as part of a multi-functional team.
Prioritise within the context of a project.
Source and migrate data from already identified different sources.
Collect, format and save datasets.
Summarise and explain gathered data.
Blend data sets from multiple sources and present in format appropriate to the task.
Manipulate and link different data sets as required.
Use tools and techniques to identify trends and patterns in data.
Apply basic statistical methods and algorithms to identify trends and patterns in data.
Apply cross checking techniques for identifying faults and data results for data project requirements.
Audit data results.
Demonstrate the different ways of communicating meaning from data in line with audience requirements.
Produce clear and consistent technical documentation using standard organisational templates.
Store, manage and distribute in compliance with data security standards and legislation.
Explain data and results to different audiences in a way that aids understanding.
Review own development needs.
Keep up to date with developments in technologies, trends and innovation using a range of sources.
Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
Operate as part of a multi-functional team.
Prioritise within the context of a project.

Your training plan

Level 3 Data Technician Apprenticeship Standard qualification, which includes:

Level 2 functional skills in maths and English (if required)
End-Point Assessment (EPA)
You will receive full training and support from the Just IT
Training and training location to be confirmed

Requirements

Essential qualifications

GCSE or equivalent in:

English & Maths (grade 4/C - 9/A*)

Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.

Skills

Communication skills
Attention to detail
Organisation skills
Customer care skills
Problem solving skills
Team working
Strong numeric communication
Microsoft Office Package
Tableau knowledge

Other requirements

Company Benefits • 25 day holiday (plus bank holidays) • 4pm finish on Friday

About this company

Renault S.A., commonly referred to as Groupe Renault, is a French multinational automobile manufacturer established in 1899. The company currently produces a range of cars and vans. It has manufactured trucks, tractors, tanks, buses/coaches, aircraft and aircraft engines, as well as autorail vehicles.

After this apprenticeship

When individuals complete their apprenticeship, they will have the opportunity to progress

Ask a question

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