Summary
Do you want a chance to develop your skills and gain real experience in a digital role while working towards a professional qualification? If you're looking for a meaningful, dynamic work environment where you are recognised and rewarded for your creativity, innovation, and determination, then come and join us!
Wage
£23,387 a year
Training course
Data technician (level 3)
Hours
Monday to Friday, 9.00am - 5.00pm.
35 hours a week
Possible start date
Monday 8 September
Duration
1 year 6 months
Positions available
2
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
During your apprenticeship you’ll:
* Learn how to understand and analyse customer requirements and then implement findings.
* Build data analysis skills to identify risks and opportunities.
* Develop collaboration and communication skills that help you share our insights with stakeholders in a way that suits different audiences.
* Understand data, enabling you to make informed evidence-based decisions
* Use data visualisation tools to create infographics, reports, tables, dashboards and graphs and communicating data insights.
* Understand how to collate and interpret qualitative and quantitative data.
Where you’ll work
The Zurich Centre
3000B Parkway
Whiteley
Fareham
PO15 7JZ
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
CORNDEL 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
Essential qualifications
GCSE in:
* English (grade C/4)
* Maths (grade C/4)
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
* Team working