Summary
We’re currently expanding the team and are looking for people to join and support the continued growth and development of our Customer Insight & Data team. This team are specialists’ in helping Zurich UK truly understand our customer base and ensure we keep our customers at the heart of everything we do.
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
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
Your role could involve:
* Sourcing data in a secure manner
* Collating and formatting data to present for review and further analysis
* Blending data by combining it from various sources and formats to explore its relevance
* Analysing simple and complex data to support business outcomes, using different methods to analyse the data
* Collaborating with people at all levels with a view of creating value from the data
If you’re interested in learning how to develop meaningful customer insights using data to inform, challenge and support our objectives, then this role could be the perfect fit for you!
Where you’ll work
Unity Place
1 Carfax Close
Swindon
SN1 1AP
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
Training schedule has yet to be agreed. Details will be made available at a later date.
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
* Team working