Summary
Are you passionate about data and technology? Do you have a keen eye for detail and a love for problem-solving? We’re excited to offer an opportunity for a Data Technician Apprentice to join our innovative team!
Wage
£12,313.60 a year
Training course
Data technician (level 3)
Hours
Monday - Friday, 9.00am - 5.00pm.
37 hours a week
Possible start date
Friday 28 March
Duration
1 year 4 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
* Front of House Duties: Provide excellent front-line service and manage customer phone call enquiries professionally.
* Excel Mastery: Utilise Excel to manage, analyse, and visualise data efficiently.
* Microsoft 365 Expertise: Use M365 tools to collaborate on projects, manage tasks, and enhance productivity.
* Data Analysis: Collect, process, and analyse data to uncover insights and drive decision-making.
* Communication: Effectively communicate data findings and collaborate with team members.
* Database Management: Help maintain and update the CRM, ensuring data integrity and accuracy.
* Reporting: Prepare reports and visualisations to help translate data into actionable insights.
Where you’ll work
UNIT 3
STADIUM COURT
PLANTATION ROAD
WIRRAL
CH62 3QG
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
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
Essential qualifications
GCSE in:
* English (grade 4)
* Maths (grade 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
* Attention to detail
* Analytical skills
* Initiative
* Technical Proficiency
* Eager to Learn