Summary
You will have the opportunity to gain valuable skills, knowledge and experience as you complete a Data Technician - Level 3 Apprenticeship. Duties will include Support daily operations and assist with maintaining smooth processes.
Wage
£12,480 a year
Training course
Data technician (level 3)
Hours
Monday - Friday, 9.00am - 5.00pm.
37 hours 30 minutes a week
Possible start date
Monday 31 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
* Update policies, procedures, and workflows to ensure accuracy.
* Collect, analyse, and report data to inform decision-making.
* Collaborate across departments to enhance efficiency and streamline tasks.
* Provide administrative support during meetings and track action points.
* Liaise with external stakeholders to support operational processes.
* Suggest and implement ideas for process and system improvements.
Where you’ll work
UNIT 103
WESTTHORPE FIELDS ROAD
KILLAMARSH
SHEFFIELD
S21 1TZ
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
QA 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
Data Technician Level 3 Apprenticeship Standard:
Data available to organisations is increasing at scale. How your business leverages it is essential to successful transformation and continued growth.
QA's Data Essentials Level 3 Apprentice will learn to:
* Source, format and present data securely using Microsoft Excel.
Find out more about our additional Microsoft Office Specialist:
* Analyse structured and unstructured data to support business outcomes.
* Blend data from multiple sources as directed.
* Communicate outcomes appropriate to the audience.
* Apply legal and ethical principles when manipulating data.
QA’s Data Essential Level 3 apprenticeship programme enables your organisation to:
* Build the capabilities you need throughout your organisation to collect, study, organise and present data, increasing digital adoption and the provision of intelligent and valuable business insights.
* Create and develop Data Technicians for the modern workplace by reskilling your existing talent, or hiring new entry-level talent. QA’s programmes, partnerships and recruitment capability enable us to tailor a solution that works for your business.
* Provide training that acts as a standalone solution or as part of a wider academy/programme to an array of business functions.
Requirements
Essential qualifications
GCSE in:
* any subject -- x3 (grade 4+ (A-C))
* English (grade 3+ (D or above))
* Maths (grade 3+ (D or 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
* Problem solving skills
* Administrative skills
* Team working
* Non judgemental