You’ll also carry out other duties, within the broad scope and spirit of your role, as requested by your manager. Our business continuously evolves, so your role will too.

Where you'll work

179-191 Borough High St
London
SE1 1HR

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

Training provider

KAPLAN FINANCIAL LIMITED

Training course

Data technician (level 3)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

Course contents

• Select and migrate data from already identified sources.
• Format and save datasets.
• Summarise, analyse and explain gathered data.
• Combine data sets from multiple sources and present in format appropriate to the task.
• Use tools and/or apply basic statistical methods to identify trends and patterns in data.
• Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
• Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
• Demonstrate the different ways of communicating meaning from data in line with audience requirements.
• Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
• Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
• Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
• Parse data against standard formats, and test and assess confidence in the data and its integrity.
• Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
• Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
• Follows equity, diversity and inclusion policies in the organisation for a common goal.
• Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.

Select and migrate data from already identified sources.
Format and save datasets.
Summarise, analyse and explain gathered data.
Combine data sets from multiple sources and present in format appropriate to the task.
Use tools and/or apply basic statistical methods to identify trends and patterns in data.
Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
Demonstrate the different ways of communicating meaning from data in line with audience requirements.
Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
Parse data against standard formats, and test and assess confidence in the data and its integrity.
Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
Follows equity, diversity and inclusion policies in the organisation for a common goal.
Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.

Training schedule

This apprenticeship provides your employees with fundamental capabilities crucial for navigating and leveraging data effectively within your organisation, allowing them to understand insights, foster transformation, and gain a competitive edge.

• Data Analysis Fundamentals
• Data Literacy and Generative AI Introduction
• Data Analysis and Visualisation with Excel
• Databases and Data Modelling
• Data Challenge and EPA Readiness

Our apprenticeships are uniquely designed to offer unparalleled support for both employers and learners. We provide expert-led, practical training and simulations that build transferable digital skills and instil a growth mindset - essential for effectively leveraging technology.

More training information

Kaplan is one of the world’s largest and most diverse education providers. We are one of the UK’s leading training providers for finance and accountancy and data and IT qualifications and train thousands of apprentices each year.

We have been educating and training students for over 70 years and have helped thousands of people achieve their career goals. We offer apprenticeships from Level 2 to Level 7 and cover Accountancy & Tax, Banking & Finance and Data & IT.

We offer study methods to suit all types of learning, whether you want to be face-to-face, or left alone to study in your own time.

Essential qualifications

• GCSE in:
  • Maths (grade 9-4)
  • English (grade 9-4)

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Skills

• Communication skills
• IT skills
• Organisation