Apprentice Data Analyst
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Company: VP PLC
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Location: Nottingham, NG10 3FZ
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Type: Apprenticeship
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Salary: £21,000.00 per year
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Sector: Digital
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Ref: NAS-2000015975
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Application Deadline Date: 26/06/2026
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Start Date: 05/10/2026
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Positions Available: 1
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Working Week: Monday- Friday, Shifts to be confirmed.
Brief Description
The Data Analyst role is about ascertaining how data can be used to answer questions and solve problems. Data analysis is a process of requirement-gathering, inspecting, cleansing, transforming and modelling data with the goal of discovering useful information, informing conclusions and supporting decision-making.
Training to be Provided
- This is delivered using a variety of in person and online sessions during work hours over the duration of the 18 month apprenticeship
Future Prospects
- After successful completion all qualified apprentices are offered a permanent position relevant to their qualification if still employed with Vp.
Vacancy Detail
- 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 the 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 combining within the data analysis activity
- Apply organisational 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
Other Information
All successful applicants will be DBS checked (Criminal Record Checking).