Data Quality Analyst Apprentice

PEABODY TRUST

London (SE1 7JB)

Closes in 14 days (Thursday 11 September 2025)

Posted on 28 August 2025

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Summary

Supporting the Data team in maintaining accurate, complete, & consistent data across the organisation. Working under the guidance of experienced team members & reporting to the Data Quality Lead, you’ll help maintain data quality dashboards & scorecards & contribute to data quality audits & ensure information recorded is to agreed standards.

Wage

£30,000 a year

Check minimum wage rates (opens in new tab)

Training course
Data analyst (level 4)
Hours
Monday - Friday, 9.00am - 5.00pm

35 hours a week

Start date

Thursday 30 October 2025

Duration

1 year 2 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

  • Help maintain data quality dashboards
  • Support project delivery work that improves data collection
  • Assist with data checking and validation
  • Building relationships with key stakeholders

Where you'll work

Minster Court
45-47 Westminster Bridge Road
London
SE1 7JB

Training

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

Training provider

TECHNICAL PROFESSIONALS 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

Data Analyst Level 4 (Higher national certificate) Apprenticeship Standard:

  • You will complete planned training and development activities that are built into your normal working hours
  • During this time, you will attend workshops, receive one-to-one mentoring, and apply your learning to real-world tasks
  • Upon completing the apprenticeship, you’ll have a final assessment to demonstrate your skills and readiness for a career in data quality

Requirements

Essential qualifications

GCSE in:

  • GCSE English (grade (Grade Grade C/4 or above))
  • GCSE Maths (grade (Grade Grade 4 or C))

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
  • Non judgemental
  • Patience
  • Proficiency in MS Office
  • Proficiency in Outlook

Other requirements

Minimum of Level 2 qualifications (5 GCSEs or equivalent)

About this employer

The Peabody Group is responsible for 66,000 homes in London and the South East. We have 17,500 care and support customers. Our mission is to help people make the most of their lives.

https://www.peabody.org.uk/ (opens in new tab)

Disability Confident

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

  • A permanent role with a clear progression pathway, plus salary increase

Ask a question

The contact for this apprenticeship is:

TECHNICAL PROFESSIONALS LIMITED

The reference code for this apprenticeship is VAC1000339028.

Apply now

Closes in 14 days (Thursday 11 September 2025)

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