Junior Data Analyst Apprentice

KAINUU LTD

Manchester (M1 1AE)

Closes in 29 days (Thursday 18 December 2025)

Posted on 17 November 2025

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Summary

We are looking for an analytical and detail-oriented individual to join our team. As a Data Apprentice, you will learn how to collect, organise, and interpret data to support business decisions. You will work with spreadsheets, databases, and reporting tools, gaining valuable skills in data analysis and visualisation.

Wage

£18,000 a year

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Training course
Data analyst (level 4)
Hours
Monday to Friday, times to be confirmed.

30 hours a week

Start date

Friday 19 December 2025

Duration

1 year 4 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

  • Collect and process data from multiple sources 
  • Maintain accurate records and update databases 
  • Assist with creating reports and dashboards 
  • Analyse data to identify trends and patterns 
  • Support data quality checks and compliance procedures 
  • Help with data visualisation for presentations and projects 
  • Provide administrative support for data-related tasks 

Where you'll work

Manchester
Manchester
M1 1AE

Training

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

Training provider

NOWSKILLS 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

This training schedule has not been finalised. Check with this employer if you’ll need to travel to a college or training location for this apprenticeship.

Requirements

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
  • Problem solving skills
  • Analytical skills
  • Team working
  • Initiative

Other requirements

The ideal candidate will have a basic understanding of spreadsheets and data tools, along with a genuine interest in data analysis and problem-solving.

About this employer

NowSkills Limited is an independent training provider with a direct ESFA apprenticeship delivery contract, and we’ve been delivering impactful digital apprenticeships since 2013.

https://nowskills.co.uk/ (opens in new tab)

After this apprenticeship

The successful candidate may be chosen to have a full-time role after completing their apprenticeship.

Ask a question

The contact for this apprenticeship is:

NOWSKILLS LIMITED

The reference code for this apprenticeship is VAC2000000875.

Apply now

Closes in 29 days (Thursday 18 December 2025)

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