Data Analyst Apprentice (The Dispute Service LTD)
THE DISPUTE SERVICE LIMITED
Hemel Hempstead (HP2 7TG)
Closes in 23 days (Friday 19 June 2026)
Posted on 27 May 2026
Contents
Summary
The Dispute Service Ltd (TDS) is seeking a Data Analyst Apprentice to support the collection, analysis and reporting of data that underpins operational performance, regulatory compliance and service improvement.
- Wage
-
£19,747 a year
- Training course
- Data analyst (level 4)
- Hours
-
Days and shifts to be confirmed.
35 hours a week
- Start date
-
Monday 29 June 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
This role is designed for an individual who will work while studying towards the Data Analyst Level 4 Apprenticeship, developing practical data skills alongside academic learning. The apprentice will support data analysis activities, build dashboards and reports, and contribute to evidence-based decision-making across the organisation. The apprentice will receive structured training, mentoring and protected learning time and will progressively build capability in data analytics, visualisation, data management and stakeholder communication in line with the apprenticeship standard.
PRINCIPAL RESPONSIBILITIES:
Data collection and preparation:
- Support the collection, validation and organisation of data from multiple internal systems
- Assist with data cleansing, transformation and aggregation to ensure accuracy and consistency
- Follow established data quality, security and governance standards
Data analysis and insight:
- Conduct descriptive and exploratory analysis to identify trends, patterns and anomalies
- Produce routine and ad-hoc reports to support operational and regulatory requirements
- Assist in analysing service performance, customer outcomes and process efficiency
- Support senior analysts in more complex analytical tasks and projects
Reporting and visualisation:
- Develop and maintain dashboards and visual reports using tools such as Tableau
- Present data in clear, accessible formats for non-technical audiences
- Support continuous improvement of reporting processes and outputs
Stakeholder support and communication:
- Work with colleagues to understand data requirements and business questions
- Communicate findings clearly and accurately, with guidance and supervision
- Contribute to a culture of evidence-based decision-making across TDS
Technical development:
- Learn and apply database querying techniques (e.g. SQL) under supervision
- Support data extraction and validation activities, including from legacy systems where required
- Maintain documentation of analysis methods and outputs
Apprenticeship and professional development:
- Actively participate in the Data Analyst Level 4 Apprenticeship programme
- Complete all required learning, assignments, portfolio evidence and end-point assessment activities
- Apply apprenticeship learning directly to workplace tasks and projects
- Demonstrate continuous development of knowledge, skills and professional behaviours
No job description can cover every issue that might arise and the post holder is expected to carry out other duties from time to time, broadly consistent with those listed.
Where you'll work
The Maylands Building
Maylands Avenue, Hemel Hempstead Industrial Estate
Hemel Hempstead
HP2 7TG
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
BPP PROFESSIONAL EDUCATION 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
BPP apprenticeship training programmes are delivered virtually by our fully qualified and industry-experienced training team. Using their expert knowledge, we’ve purposefully built our programmes around the real-world use of modern technology, so that the skills we create can be directly applied in the workplace.
Throughout the apprenticeship learners receive coaching, help and guidance from a dedicated team who are there to ensure they get the most from their work experience.
Requirements
Essential qualifications
GCSE in:
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
- Analytical skills
- Commitment to data quality
- Written communication skills
- Microsoft Excel
- Office applications
- Strong numerical skills
- Professional approach
Other requirements
Essential:
- Interest in data analysis and using data to solve business problems
- Strong numerical and analytical thinking skills
- Good attention to detail and commitment to data quality
- Ability to communicate clearly, both verbally and in writing
- Willingness to learn new tools, techniques and concepts
- Basic experience with Microsoft Excel and Office applications
Desirable:
- Familiarity with data visualisation tools (e.g. Power BI, Tableau)
- Basic awareness of databases or SQL
- Experience working with structured data or reports
- Awareness of data protection, confidentiality and ethical data use
- Exposure to Salesforce or CRM systems
Required behaviours and attitudes (aligned to apprenticeship standard)
The successful candidate will demonstrate:
- Curiosity and enthusiasm for learning and self-development
- A professional and ethical approach to handling data
- Commitment to customer service, fairness and public value
- Ability to work collaboratively as part of a team
- Willingness to accept feedback and learn from others
- Organisational skills to balance work responsibilities and study requirements
- Alignment with the aims and values of The Dispute Service Ltd
About this employer
We are The Dispute Service, and we safeguard tenants’ deposits throughout the United Kingdom, and offer a free dispute resolution mechanism in the event of a dispute over its return. We are looking for a positive, flexible and motivated individual to join our team as a Data Analyst.
After this apprenticeship
All job roles are advertised internally, and upon successful completion of the apprenticeship, the apprentice will be eligible to apply for a suitable position within the company.
Ask a question
The contact for this apprenticeship is:
BPP PROFESSIONAL EDUCATION LIMITED
The reference code for this apprenticeship is VAC2000033644.
Apply now
Closes in 23 days (Friday 19 June 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.