Summary

As a Data Analyst Apprentice, you will work with a range of business data to identify trends, produce meaningful insights and support informed decision-making. Working alongside experienced professionals, you will gain practical experience using data analysis techniques, reporting tools and business intelligence software.

Wage

£16,000 a year

Training course

Data analyst (level 4)

Hours

Monday to Friday, full-time position. Shifts to be confirmed.

37 hours 30 minutes a week

Start date

Monday 7 December 2026

Duration

1 year 8 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

Collecting, validating and analysing data from multiple sources
Creating and maintaining reports, dashboards and visualisations
Identifying trends, patterns and opportunities within business data
Supporting business decisions by presenting accurate data insights
Working with stakeholders to understand reporting requirements
Ensuring data accuracy, quality and integrity
Maintaining confidentiality and handling data in accordance with GDPR

Where you'll work

Bolton
Greater Manchester
BL1 1AA

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)

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.

More training information

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

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
Attention to detail
Organisation skills
Problem solving skills
Administrative skills
Team working

Other requirements

Has a genuine interest in data analysis and using data to solve business problems
Has a good understanding of data, spreadsheets and analytical techniques
Is confident using Microsoft Excel, including formulas and data manipulation
Has strong numerical, analytical and problem-solving skills
Can interpret data and present findings in a clear and meaningful way
Has excellent attention to detail and a methodical approach to work
Is organised and able to manage multiple priorities effectively
Has an interest in reporting tools such as Power BI, SQL or similar data analysis software

Data Analyst Apprentice

Start with your email