Data User Apprentice - Assistant to the Leadership Team

Kaplan Financial Ltd

London (SE1 1HR)

Closes in 13 days (Tuesday 8 September 2026)

Posted on 25 August 2026

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Summary

Looking to build a long-term career in the exciting world of Data and Technology? Look no further! This is your chance to take your first step into a rewarding career with a Level 3 Data Technician Apprenticeship at Kaplan. This role is perfect for young people who are currently not in education, employment or training and are looking for an opportunity.

• Wage:

  £26,228 a year

  Minimum wage rates (opens in new tab)

  Paying between £26228 - £27086

• Training course: Data technician (level 3)
• Hours: Monday - Friday (Times to be confirmed).

  37 hours a week

• Start date:

  Monday 21 September 2026

• Duration:

  1 year 6 months

• Positions available:

  1

Work

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you'll do at work

As the Assistant to the Leadership Team, you will:

• Support the Executive Assistant with daily administrative tasks, ensuring the leadership team’s schedules and priorities are managed effectively
• Collect and organise data to assist in the creation of agendas and reports
• Maintaining accurate information and ensuring data is clean, up-to-date, and easily accessible
• Coordinate meeting logistics and hospitality, ensuring the leadership is prepared for high-level briefings
• Utilise data and AI tools to support the leadership team
• Format professional presentations and documents, ensuring they are backed by accurate data and meet Kaplan branding
• Dedicate 20% of your working week to your apprenticeship studies, applying your learning directly to your daily tasks
• Act as a professional first point of contact for visitors and stakeholders, managing enquiries with confidence and care

Detailed responsibilities:

Data & Reporting (Apprenticeship Focus):

• Champion the use of data within the leadership office, identifying ways to automate manual reporting tasks
• Translate raw numbers into clear charts and summaries that help the leadership team track progress against KPIs
• Improve data quality by performing regular audits of team records and contact lists
• Collaborate with your apprenticeship coach to hit learning milestones and bring "best practice" data techniques into the office

Administrative Support:

• Empower the leadership team by anticipating their administrative needs and streamlining their workflow
• Manage travel bookings and expense claims accurately and in a timely manner
• Prepare agendas and support administrative tasks for leadership, tracking follow-up actions via data-driven tools

Where you'll work

179-191 Borough High St
London
SE1 1HR

Training

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. 

Requirements

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 skills
• Attention to detail
• Customer care skills
• Problem solving skills
• Presentation skills
• Administrative skills
• Number skills
• Analytical skills
• Logical
• Team working
• Creative
• Initiative

About this employer

Kaplan was founded in 1938 by Stanley Kaplan, with a simple but powerful mission: to widen access to education and create opportunities for people from all backgrounds. That mission continues to shape what we do today — helping learners build the knowledge, skills and confidence they need to succeed.

Disability Confident

A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.

You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.

After this apprenticeship

Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).

From this role, your potential paths for career progression at Kaplan include:

• Data Analyst: Moving into a full-time technical data role within the wider business
• Office Operations Lead: Using your data skills to manage larger-scale business operations
• Executive Assistant (EA): Providing data-backed strategic support to C-suite executives

Ask a question

The contact for this apprenticeship is:

KAPLAN FINANCIAL LIMITED

Kaplan

kaplan.recruitment@kaplan.co.uk

0161 259 7400

The reference code for this apprenticeship is VAC2000049894.

Apply now

Closes in 13 days (Tuesday 8 September 2026)

After signing in, you’ll apply for this apprenticeship on the company's website.