Data Apprentice

Summary

Are you looking to build a long-term career in Data? Then look no further! Start your career today with a level 4 apprenticeship with Vialto Partners and Kaplan. You will be gaining lots of work experience whilst also working towards the qualification.

Wage

£23,810 a year

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Training course

Data analyst (level 4)

Hours

Monday - Friday, Shifts to be confirmed.

37 hours 30 minutes a week

Start date

Monday 1 September 2025

Duration

2 years

Positions available

3

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

Communicating with globally mobile individuals
Using cutting-edge tech to enhance efficiency
Researching market trends & regulations
Supporting with relocation logistics
Collaborating across teams to deliver solutions
Managing visa & immigration processes

Where you'll work

3 More London Riverside, 4th Floor,
London
UK
SE1 2AQ

Training

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

College or training organisation

KAPLAN FINANCIAL LIMITED

Your training course

Data analyst (level 4)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

Course contents

Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
implement the stages of the data analysis lifecycle
apply principles of data classification within data analysis activity
analyse data sets taking account of different data structures and database designs
assess the impact on user experience and domain context on data analysis activity
identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
undertake customer requirements analysis and implement findings in data analytics planning and outputs
identify data sources and the risks and challenges to combination within data analysis activity
apply organizational architecture requirements to data analysis activities
apply statistical methodologies to data analysis tasks
apply predictive analytics in the collation and use of data
collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
select and apply the most appropriate data tools to achieve the optimum outcome
Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
implement the stages of the data analysis lifecycle
apply principles of data classification within data analysis activity
analyse data sets taking account of different data structures and database designs
assess the impact on user experience and domain context on data analysis activity
identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
undertake customer requirements analysis and implement findings in data analytics planning and outputs
identify data sources and the risks and challenges to combination within data analysis activity
apply organizational architecture requirements to data analysis activities
apply statistical methodologies to data analysis tasks
apply predictive analytics in the collation and use of data
collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
select and apply the most appropriate data tools to achieve the optimum outcome

Your training plan

Data Analyst Level 4 Apprenticeship Standard:

No matter how much data or technology is at your disposal, transformation comes when you have people capable of not just using it, but unlocking and communicating its potential. With sharp analysis at its heart, a Kaplan Data Analyst apprenticeship is anything but standard
As well as developing technical skills using a range of core technologies and platforms, apprentices learn to weave together the ability to source, analyse, work with data and generate insights that underpin decisions that can build a case for change
Our Data Analyst apprenticeship programme integrates six modules of technical training with work based projects
This ensures that learning and skills are directly applied to the apprentice’s role, and maximises the time used as part of off-the-job training

Requirements

Essential qualifications

GCSE or equivalent in:

Maths (grade 9/A* - 4/C)
English (grade 9/A* - 4/C)

A Level or equivalent in:

Any (grade A-C)

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
Customer care skills
Problem solving skills
Presentation skills
Administrative skills

Other requirements

Benefits; A competitive salary and full benefits package. A hybrid work environment and summer working hours - Minimum 2-3 days in office, first two weeks of each rotation should be 5 days. Inspiring, inclusive colleagues and supportive leadership. Team socials, charity activities, and celebrations. The chance to experience working at a client site — or even abroad. 25 days holiday (can buy/sell 5 more) Pension. Private medical. 24/7 online GP. Accessible via public Transport.

About this company

At Vialto we create the connections that build global careers and societies, bridging the gap between people and their aspirations. As the world of work continues to evolve, we are bringing together the individuals, ideas and technology to unlock business and human growth.

After this apprenticeship

Internal progression is absolutely expected and encouraged post-apprenticeship

Ask a question

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