Summary
As a Data Technician Apprentice, you’ll assist with data management and analysis, focusing on collecting, processing, and maintaining accurate data. Collaborate with teams to ensure data integrity, provide insights, and support decision-making processes.
Wage
£20,000 a year
Training course
Data technician (level 3)
Hours
Monday - Friday, 9.00am - 5.00pm.
40 hours a week
Possible start date
Monday 3 March
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
Main duties:
Data analysis and modelling:
* Perform data cleaning to ensure data quality and integrity before analysis and modelling.
* Ensure data models are accurate, efficient, and meet organisational needs.
* Collaborate with team members to understand data requirements and implement appropriate data models.
Data visualisation:
* Create and maintain data visualisations to support business decision-making.
* Use various data visualisation techniques to present data clearly and understandably.
* Ensure visualisations are accurate, relevant, and tailored to the audience’s needs.
Correlation analysis:
* Identify and analyse correlations within datasets to uncover meaningful insights.
* Understand the benefits of identifying correlations to improve data-driven decisions.
* Communicate findings from correlation analysis to relevant stakeholders.
Efficient data presentation:
* Develop and implement efficient data presentation methods.
* Use best practices in data presentation to enhance understanding and usability.
Timely data reporting:
* Prepare and deliver data reports in a timely manner.
* Work with team members to ensure data is collected, processed, and reported efficiently.
Key result areas:
* An understanding of data collection, data cleaning and data modelling.
* An understanding of data visualisation techniques.
* Understanding the concept of identifying correlations and its benefits.
* Understanding efficient data presenting concepts.
* Presenting concise and accurate data in a timely manner.
Where you’ll work
Global Banking School, 40 Great George Street
Leeds
LS1 3DL
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
METAGEDU APPRENTICESHIPS LTD
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
* IT skills
* Attention to detail
* Organisation skills
* Number skills
* Analytical skills
* Team working