Data Analyst Apprentice

THE CAREERS & ENTERPRISE COMPANY LTD

London (EC1A 4JQ)

Closes on Thursday 18 September 2025

Posted on 14 August 2025


Summary

Working at the CEC you will be part of a fast-moving data team that includes customer relationship management specialists and business intelligence specialists. This role will sit within the Business Intelligence team, and you will be working with other members of the team to ensure that the CEC has the data and insights that it needs.

Training course
Data analyst (level 4)
Hours
Monday - Friday (9.00am - 5.30pm) Shifts TBC

37 hours 30 minutes a week

Start date

Wednesday 1 October 2025

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

Working at the CEC you will be part of a fast-moving data team that includes customer relationship management specialists and business intelligence specialists. This role will sit within the Business Intelligence team, and you will be working with other members of the team to ensure that the CEC has the data and insights that it needs.

As the Apprentice Data Analyst you will be working with a range to tools including:

  • SQL (including SSMS)
  • Yaml
  • PowerBI
  • Google Analytics
  • Excel
  • GitHub
  • Jira
  • Confluence
  • Slack
  • Teams

You will also work with a wide range of datasets including some unique and gold standard datasets that enable the CEC to drive system change within the careers education landscape in England. These include Compass evaluations, Internal Leadership Reviews, Employer Standards and the Future Skills Questionnaire data.

Liaising with internal and external stakeholders you will gather user requirements and build data solutions that meet user needs. This could range from doing some ad hoc analysis in excel to building a new dashboard in PowerBI or creating SQL scripts in the BI database to create tables, views and stored procedures. 

Key Responsibilities:

The main responsibilities include but are not limited to:

  • Performing regular data management and data quality tasks
  • Participating in gathering user requirements
  • Working within a project team to specify, develop, test and deploy new data features
  • This could be an ad hoc piece of analysis
  • Or it involves building a long-term data solution such as a dashboard or report we are syncing to SharePoint
  • Project manage your work through the Jira board ensuring colleagues and stakeholders are kept informed on the progress of work
  • Other work as might be required

Where you'll work

120 Aldersgate Street
London
EC1A 4JQ

Training

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

Training provider

JUST IT TRAINING LIMITED

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

Training schedule

  • 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
  • Data Analyst level 4 apprenticeship Standard
  • You will also receive full training and support from the Just IT Apprenticeship team to increase your skills
  • Your training will include gaining a Level 4 Data Analyst qualification

Requirements

Essential qualifications

GCSE in:

  • English (grade C/4 +)
  • Maths (grade C/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
  • Attention to detail
  • Organisation skills
  • Customer care skills
  • Problem solving skills
  • Presentation skills
  • Administrative skills
  • Number skills
  • Analytical skills
  • Logical
  • Team working
  • Creative
  • Initiative
  • Motivated
  • Positive attitude
  • Hard-working
  • Passion for Data
  • Enthusiastic
  • Pro-active approach to learn
  • Problem Solver

About this employer

We are the national body for careers education in England, delivering support to schools and colleges to deliver modern, 21st century careers education. The Careers & Enterprise Company is a great place to work. We operate within a fast-paced and collaborative environment. We are brought together by one thing: our passion to ensure young people get the best possible start in life and are supported to find their best next step. Do you want to be part of a mission-driven team focused on transforming young people’s lives? If so, we’d love to hear from you!

After this apprenticeship

  • Over 90% of our apprentices move on to permanent full-time employment in the tech industry. There are also opportunities to extend your training with a higher-level Apprenticeship Programme
  • Just IT have already helped over 1000 people start their tech and digital careers with an apprenticeship

Ask a question

The contact for this apprenticeship is:

JUST IT TRAINING LIMITED

Hello@justit.co.uk

The reference code for this apprenticeship is VAC1000337262.

Apply now

Closes on Thursday 18 September 2025

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