Summary
Due to our continued success and growth, Hippo is excited to offer a fantastic opportunity for a Data Technician Apprentice to join our dynamic team. As a leading vehicle sales company, we pride ourselves on our commitment to excellence, consistently selling over 800 vehicles a month while maintaining a high level of customer service
Wage
£22,000 a year
Training course
Data technician (level 3)
Hours
Monday to Friday 9am to 5pm.
37 hours a week
Start date
Monday 19 May 2025
Duration
1 year 4 months
Positions available
2
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
* Advise customers of our complaints process and ensure the process is followed.
* Liaise with customers, warranty provider and garages on phone to co-ordinate vehicle issues.
* Respond to or escalate all complaints to relevant managers that cannot be handled solely immediately. I.e. Aftersales related complaints to head of departments.
* Accurately log and monitor all complaints via Freshdesk.
* Ensure time scales are met by following up outstanding issues and closing complaints off within the specified timescales.
* Effectively handle complaints whilst limiting costs spent.
* Monitor warranty spend and provide feedback in monthly meetings.
* To maintain a work rate and level that falls in line with the company’s objectives.
Where you’ll work
Trident Park Trident Way
Blackburn
BB1 3NU
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
College or training organisation
NOWSKILLS LIMITED
Your training course
Data technician (level 3)
Equal to A level
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
This training plan has not been finalised. Check with this employer if you’ll need to travel to a college or training location for this apprenticeship.
Requirements
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
* Organisation skills
* Customer care skills
* Problem solving skills
* Team working
* Initiative
* Good telephone manner
* self-motivated
* Time management
Other requirements
Preferably seeking a driver due to limited public transport options in the local area.