Summary
The marketing and sales office for Nissan Motors, NMGB is a home to the marketing, sales, aftersales, Customer quality and Dealer Network Development team who manages sales, profitability for Nissan cars in the UK.
- Wage
£24,000 a year
- Training course
- Data analyst (level 4)
- Hours
- Monday – Friday- 37.5 hours
9am – 5:15pm ( Monday to Thursday)
9am – 4pm ( Friday)
37 hours 30 minutes a week
- Start date
Saturday 5 September 2026
- Duration
1 year 8 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
- Competitor benchmarking
- Retail, Weekly Competitive benchmarking
- Retail Campaign Support
- Set-up Campaign presentations
- Set-up and maintenance of Campaign Masterfile's
- Assist with campaign launch assets creation
- Nissan UK website checks for campaign launches
- My Club Nissan website check
- Customer Order Take Analysis
- Motability Campaign Support
- Motability Renewals dashboard maintenance and analysis
- Dealer Intranet
- Keep Marketing page up to date
- ploading and Maintaining Dealer facing communications
- Uploading and Maintaining Dealer campaign materials (Retail, Motability and Employee)
- Ad hoc
- Overall Employee programme support:
- Continuous process improvement and maintenance of process/procedures documentation
- Ad hoc sales data / industry analysis as required
- Support to SPM / Field teams as required
Desired Skills:·
- Analysis
- Communications
- Working under pressure
- Time management
- Organisation skills
Personal Qualities:
- Proactive
- Adaptable
- Curious
- Motivated
- Self-driven
- Willingness to learn
- Growth mind-set
Where you'll work
The Rivers Office Park
Denham Way
Maple Cross
Rickmansworth
WD3 9YS
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
LEEP TALENT LIMITED
Training course
Data analyst (level 4)
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 4/C and above)
- Maths (grade 4/C and above)
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
- Analytical skills
- Logical
- Team working
- Creative
- Initiative
- Patience
Vacancy posted 18 hours ago
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