Data Analyst Apprentice
KAINUU LTD
Nottingham (NG1 1AA)
Closes in 29 days (Sunday 30 August 2026)
Posted on 31 July 2026
Contents
Summary
We are seeking an enthusiastic and detail-focused Data Analyst Apprentice to join our team in Nottingham. This is an exciting opportunity for someone with an interest in data, technology and business improvement to develop their analytical skills while completing a Level 4 Data Analyst Apprenticeship.
- Wage
-
£16,000 a year
- Training course
- Data analyst (level 4)
- Hours
-
Monday to Friday, full-time position.
37 hours 30 minutes a week
- Start date
-
Wednesday 30 September 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
- Analyse data from a variety of sources to identify trends, patterns and opportunities.
- Create accurate reports and dashboards to support business decision-making.
- Use tools such as Microsoft Excel, Power BI and other analytical platforms to transform data into meaningful insights.
- Support the development and maintenance of management information reports.
- Assist with data cleansing, validation and quality improvement activities.
- Interpret complex information and communicate findings clearly to stakeholders.
- Work with different teams to understand their data requirements and provide analytical support.
- Monitor key performance indicators and help identify areas for improvement.
- Support the automation and improvement of reporting processes.
- Ensure all data is handled securely and in line with company policies and GDPR requirements.
Where you'll work
Nottingham
Nottingham
NG1 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)
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
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
- Administrative skills
- Team working
Other requirements
- Has a strong interest in data analysis and how data can improve business performance.
- Has existing knowledge of data concepts, spreadsheets and analytical methods.
- Is confident working with numbers and interpreting information.
- Has experience using Microsoft Excel, including formulas, functions and data organisation.
- Has strong attention to detail and takes pride in producing accurate work.
- Can identify problems, investigate information and suggest solutions.
- Is comfortable communicating findings and working with different teams.
- Has an interest in data visualisation and reporting tools such as Power BI.
- Is keen to develop their technical skills and build a career in data analytics.
- Can work independently while also contributing positively within a team.
About this employer
Our Digital Marketing, IT Infrastructure, Content Creation, and Data Analytics apprenticeships are designed in collaboration with employers. We combine expert teaching and learning with real-world experience to equip our apprentices with the skills, knowledge, attitudes and behaviours for a successful career.
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
Successful completion of the apprenticeship may lead to a permanent full-time role, subject to performance and business needs.
Ask a question
The contact for this apprenticeship is:
NOWSKILLS LIMITED
The reference code for this apprenticeship is VAC2000045533.
Apply now
Closes in 29 days (Sunday 30 August 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.