Data Analyst Apprentice
ALCIUM SOFTWARE LTD
CHAPELTOWN (S35 2PY)
Closes in 28 days (Thursday 23 July 2026)
Posted on 25 June 2026
Contents
Summary
This is a great opportunity for someone starting their career in technology, data, or digital systems. In this role, you’ll work across our delivery, support, and data teams to help maintain and improve the systems our clients rely on every day.
- Wage
-
£22,000 a year
- Training course
- Data analyst (level 4)
- Hours
-
Days and shifts to be confirmed.
37 hours 30 minutes a week
- Start date
-
Thursday 30 July 2026
- Duration
-
1 year 6 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
- Supporting the design and specification of online forms and digital application processes
- Assisting with the development and maintenance of Power BI dashboards and reporting tools
- Helping analyse and organise data to support client reporting and internal insights
- Working with the delivery and support teams to understand client requirements
- Assisting with troubleshooting and resolving technical or data-related queries
- Supporting wider improvements across the platform and internal systems
Where you'll work
UNIT 6B
SHEFFIELD S35A BUSIN
CHURCHILL WAY
CHAPELTOWN
S35 2PY
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
QA 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
Why choose our Data Analyst apprenticeship?
QA's Data Analyst Level 4 apprenticeship develops the skills needed to collect, organise and study data to provide valuable business insight.
The principles of data analytics are being applied across just about every industry. Using past-event data, analysts are making important insight-based business decisions and driving customer value across every team and function, including operations, finance, sales and marketing.
At QA we have deep-rooted expertise in Data, Analytics and AI. Our solutions transform the way that individuals use data and enable organisations to make more data-driven business decisions.
QA's Data Analyst Level 4 apprenticeship programme enables your organisation to:
- Build the skills and capabilities you need throughout your organisation to analyse, interrogate and present technical data, providing informed and valuable business insights to a range of stakeholders
- Upskill or reskill your existing workforce with data skills and create analysts for the modern-day workplace
- Recruit and harness a new talent pathway: QA can help you cost-effectively recruit diverse, ambitious talent into your business and help you build a pipeline of data literacy talent
- Delivered by industry experts with real-world experience, the programme’s content has been designed around real-life skills and includes the additional PL-300 Microsoft Power BI Data Analyst certification (see below). The technical content aligns to and is relevant to employers and the market
- Upon successful completion, learners will be awarded the Data Analyst Level 4 apprenticeship
Tools and technologies learned:
Learners will learn to use visualisation tools such as (PowerBI, Tableau), SQL Server, SSIS, Python and R programming languages, and Cloud Technologies such as: Azure, AWS, GCP.
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
- Attention to detail
- Problem solving skills
Other requirements
Entry requirements:
Standard entry:
- Level 3 qualification (apprenticeship/A-levels/BTEC, etc.)
- OR equivalent work experience (typically two years in a relevant role)
Plus:
- 5 GCSEs, including English and maths at Grade 4 (C) or above
- Experience with using Excel (in particular pivot tables and XLookup) and Microsoft products (or similar)
You may also have a combination of qualifications and experience which demonstrate the minimum foundation needed for the programme. In this instance you could still be considered for the programme.
If you hold international equivalents of the above qualifications, at the time of your application you must be able to provide an official document that states how your international qualifications compare to the UK qualifications.
For more information, please visit the UK ENIC website.
About this employer
Evolutive is a CRM platform used by organisations across the UK to deliver programmes that support businesses and individuals, many of which are funded through national government initiatives. Our clients include local authorities, universities, chambers of commerce, and organisations delivering business support, grant funding, and employability programmes.
The platform helps teams manage participant journeys, grants, marketing activity, and reporting through tools such as grant management, data dashboards, and diagnostic assessments. Each system is tailored to the needs of the organisation, with thousands of users across the UK relying on the software to manage their programmes efficiently.
Company benefits
A range of exciting benefits are available!
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average.
Ask a question
The contact for this apprenticeship is:
QA LIMITED
The reference code for this apprenticeship is VAC2000039204.
Apply now
Closes in 28 days (Thursday 23 July 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.