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 Data Entry: Accurately inputting, updating, and maintaining data across various digital systems. Ensuring that all data is entered in a timely and accurate manner.
Wage
£14,000 a year
£14,000 to £16,000 per annum
Training course
Data technician (level 3)
Hours
All details will be confirmed at interview
37 hours 30 minutes a week
Possible start date
Monday 17 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
* Information Management: Preparing, organizing, and securely storing information in both paper and digital formats. Ensuring that all records are kept up-to-date and easily accessible.
* Customer Service: Dealing with queries via phone and email, providing excellent customer service to both internal and external stakeholders.
* Diary Management: Managing diaries for key personnel, scheduling meetings, and booking rooms as necessary.
* Administrative Support: Assisting with general administrative tasks as needed, including filing, photocopying, and managing office supplies.
Where you’ll work
SHERBOURNE HOUSE
HUMBER AVENUE
COVENTRY
WEST MIDLANDS
CV1 2AQ
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
Why choose our Microsoft Data Essentials apprenticeship?
QA’s Microsoft Data Essentials Level 3 apprenticeship can support your business to be more productive with data and adapt to a modern-day workplace. Data available to organisations is increasing at scale. How your business leverages it is essential to successful transformation and continued growth.
QA's Microsoft Data Essentials Level 3 apprentice will learn to:
• Source, format and present data securely, using Microsoft Excel, Power BI and SQL.
• 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 Microsoft 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 analysts 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
Tools and technologies learned: Apprentices will learn to use Microsoft Power BI, Excel and SQL Azure.
If GCSE (or equivalent) English and maths qualifications are not grade 4/C or higher, you may also complete Functional Skills training.
Requirements
Essential qualifications
GCSE in:
* any 3 subjects (grade Maths & English)
* Maths & English (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
* Attention to detail
* Organisation skills
* Team working
* Non judgemental