Summary
The programme is designed to develop, train and coach individuals in skills and competencies that will help them build a foundation for their future careers. This scheme will include both on and off-the-job training, combining theoretical and practical skills to prepare you for your future role.
Wage
£20,000 a year
Training course
Data analyst (level 4)
Hours
Monday – Friday- 37.5 hours 9am – 5:15pm (3 days in the office between Monday - Thursday).
37 hours 30 minutes a week
Possible start date
Saturday 5 April
Duration
1 year 11 months
Positions available
1
Work
As an apprentice, you’ll work at a company and get hands-on experience. You’ll gain new skills and work alongside experienced staff.
What you’ll do at work
Main Tasks and Responsibilities
1. Marketing Reporting
CRM is a key marketing tool as our audience are current Nissan owners. Detailed reporting is crucial to optimize performance and increase ROI through better targeting and messaging. Additionally, as we strengthen our digital customer journey, reporting improvements on paid media campaigns, website performance, online check ins and online booking are vital. The role will take ownership of culminating the various data from third party sources (Contact Advantage, Indicia, OMD media agency, Google Analytics etc), and you will be required to update, amend and create new reporting dashboards to help us analyse data in a quicker and simpler way. Examples of the regular reports are below:
* o Welcome CRM Programme – Accessories Reporting
General CRM inc. Campaign, Accessories Mailers etc.
* Owners Platform on Nissan.co.uk Website
* Media inc. Always On PPC and Campaign channels
* Online Booking Tool
* Tableau ALPFA Service Retention
* 2. Business Reporting
Daily business financial reporting is crucial to the department’s success. Our daily performance report indicates how we are tracking against our financial targets for both parts and accessories and calculates a run rated landing position based on current sales. You will need to provide support to the business planning team on regular reports such as:
Working Day Summary Report
* Customer Demand Report
* Parts Sell Out Reports
* Accessories Sales Reporting
* Ad hoc PRISM reports – parts, servicing, accessories
3. Retention
One of our main focuses of FY25 is to improve the number of customers returning to our dealerships for servicing and repair work. ALPFA is a digital tool built in Tableau that provides insight into campaign success, and detailed retention insight by vehicle, age, model, segment and dealer territory. It will be your role to work with the team to track monthly retention performance and identify opportunities for customer targeting and dealer implementation.
4. Marketing Asset Management
Assist with responding to any dealer questions on reports, campaigns, creative and assets. Be the main point of contact for all regular communications with Lutterworth, Nissan’s logistics warehouse. This includes requesting Part Numbers for new printed materials, booking in assets to Lutterworth, dealer auto allocations and stock reporting.
5. Website Management
Support the Aftersales Marketing team in the creation of customer facing marketing campaigns, from brief to delivery. Assist the team with updating the Ownership section of Nissan.co.uk. That could include creating briefs for larger scale changes or raising job tickets for smaller amends. This side of the role will work closely with our creative, media and website agencies, as well as the Aftersales product teams.
Where you’ll work
The Rivers Office Park
Denham Way
Maple Cross
Rickmansworth
WD3 9YS
Training
An apprenticeship includes regular training with a college or other training organisation. At least 20% of your working hours will be spent training or studying.
College or training organisation
JUST IT TRAINING LIMITED
Your training course
Data analyst (level 4)
Equal to higher national certificate (HNC)
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
Your training plan
An apprenticeship includes regular training with a college or other training organisation. At least 20% of your working hours will be spent training or studying.
Data Analyst Level 4 apprenticeship standard.
You will also receive full training and support from Just IT.
Apprenticeship team to increase your skills.
Your training will include gaining a Level 4 Data qualification.
Requirements
Essential qualifications
GCSE in:
* English (grade 4/C and above)
* Math (grade 4/C and above)
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
* IT skills
* Attention to detail
* Organisation skills
* Customer care skills
* Problem solving skills
* Presentation skills
* Administrative skills
* Number skills
* Analytical skills
* Logical
* Team working
* Creative
* Initiative
* Non judgemental
* Patience