Data Analyst Apprentice

ALCIUM SOFTWARE LTD

CHAPELTOWN (S35 2PY)

Closes in 18 days (Sunday 21 June 2026)

Posted on 3 June 2026

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Summary

We’re looking for a motivated Digital Systems Support Analyst to join our friendly, close knit team. 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 systems.

Wage

£16,575 a year

Minimum wage rates (opens in new tab)

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

37 hours 30 minutes a week

Start date

Tuesday 21 July 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

  • 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

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.

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
  • Analytical skills
  • Team working
  • Initiative

Other requirements

  • An interest in technology, data, or digital systems
  • Strong attention to detail
  • Good problem-solving and logical thinking skills
  • Clear written and verbal communication
  • Basic familiarity with Excel, data, or reporting tools 
  • A willingness to learn and develop new skills
  • Experience with CRM systems, SaaS platforms, or client-facing roles is helpful but not essential

About this employer

Established in 2001, Alcium Software design, develop and support market leading software solutions and websites for over 300 clients across the UK.

https://www.alciumsoftware.com/ (opens in new tab)

Company benefits

  • Discounted gym membership
  • Access to financial planning services
  • Employer pension contributions

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 VAC2000032947.

Apply now

Closes in 18 days (Sunday 21 June 2026)

After signing in, you’ll apply for this apprenticeship on the company's website.