Data Analyst Apprentice Level 4

Bernicia Group Ltd

Northumberland (NE63 0XF)

Closes on Monday 1 June 2026

Posted on 28 April 2026

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Summary

Bernicia is offering a fantastic opportunity to join its Customer Insight & Engagement team as a level 4 Data Analyst Apprentice. You will explore the story behind the numbers, collecting, analysing and interpreting data supporting the business to make informed decisions.

Wage

£20,875 a year

Check minimum wage rates (opens in new tab)

28 days holiday

Training course
Data analyst (level 4)
Hours
Monday to Friday, 9am - 5pm.

37 hours a week

Start date

Tuesday 1 September 2026

Duration

2 years

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

  • You'll receive training and support from day one
  • Liaising with internal and external customers, collecting and compiling data
  • Maintain and develop reports for analysis
  • Learn how to analyse trends and patterns drawing conclusions
  • Summarise and present data analysis reports
  • Ensure data storage and archiving align with relevant legislation such as GDPR 

Where you'll work

Oakwood Way
Ashwood Business Park
Ashington
Northumberland
NE63 0XF

Training

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

Training provider

CITY OF SUNDERLAND COLLEGE

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

You will attend training at your allocated training provider 1 day per week. 

Requirements

Desirable qualifications

A Level in:

- 2 A-Levels, Maths being one of them (grade C or above)

Other in:

Similar field eg Data Technician (grade Pass)

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
  • Number skills
  • Analytical skills
  • Logical
  • Team working
  • Initiative

About this employer

We have been providing and maintaining quality and affordable homes and delivering a range of exceptional services for people in the north east for over 50 years earning us a repuation as one of the country's leading housing associations

After this apprenticeship

Successful completion of this apprenticeship will allow you to progress into technical specialisations.  

Ask a question

The contact for this apprenticeship is:

Bernicia Group Ltd

Luke Dargie

EmployabilityTeam@bernicia.com

07515605332

The reference code for this apprenticeship is VAC2000028720.

Apply now

Closes on Monday 1 June 2026