Data Analyst Apprentice (L4) - Two Rivers Housing - Newent, GL18 1DS - £24kp/a - 37hrs/w
TWO RIVERS HOUSING
Glos (GL18 1DS)
Closes in 25 days (Monday 27 October 2025 at 11:59pm)
Posted on 1 October 2025
Contents
Summary
You will play a key role in transforming raw data into meaningful insights that support business decision-making and performance monitoring. Working closely with our data team and stakeholders across the organisation, you will gain practical experience in data analysis, reporting, and dashboard development while pursuing your qualification.
- Wage
-
£24,000 a year
- Training course
- Data analyst (level 4)
- Hours
-
9am - 5pm Monday to Friday. 5 days in the office.
37 hours a week
- Start date
-
Monday 10 November 2025
- Duration
-
1 year 5 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
- Collaborate with stakeholders to understand and define reporting requirements, including operational metrics and key performance indicators.
- Design and build interactive Power BI dashboards that communicate insights clearly and effectively, following best-practice methodologies.
- Write and maintain SQL queries to extract and manipulate data from core business systems.
- Use Python to access and retrieve data via APIs, supporting automated and scalable data workflows.
- Support data quality initiatives by identifying inconsistencies, managing quality alerts, and helping teams correct inaccurate data.
- Assist in the delivery of real-time performance analysis and contribute to the continuous improvement of data processes and reporting standards.
- Gain a thorough understanding of the world of housing data and some of the technologies used to effectively utilise data.
- Support the organisation with data quality requirements.
- Take a methodical approach to your work and look how you can improve ways of working using data and power automation for your colleagues.
- Write change and work to change processes and systems design, so that all documentation is kept up to date.
- Able to use what has been learnt through the course and bring this to improve our ways of working.
- Understanding that our customers and their data are the most important asset that Two Rivers Housing holds.
- Security and discretion are pivotal to the role.
- General requirements
- Uphold the Group’s values, Code of Conduct and be aware of and comply with the requirements of all the Group’s Policy Documents and Statements and all relevant regulatory frameworks established by our Regulators.
- Build strong internal and external relationships and ensure great outcomes for our customers
- Promote equality, diversity and inclusion in the workplace.
- Ensure that you are polite, respectful and professional in all dealings with colleagues, tenants, customers and the wider community.
- Be aware of and apply the principles of Value for Money and Risk Management at a level commensurate with the responsibilities of the post.
- Be responsible for health and safety and welfare of yourself and all colleagues, by following health and safety procedures at all times.
- Ensure the confidentiality of information and adherence to data protection requirements in respect of your work at all times.
- To ensure accurate data is entered onto ICT / housing management systems at all times and, where appropriate, complies with the requirements of the Data Quality standards and the Group’s IT policies.
Where you'll work
Rivers Meet
Cleeve Mill Lane
Newent
Glos
GL18 1DS
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
TECHNICAL PROFESSIONALS 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
During this apprenticeship, you will follow a fully supported training programme with LearnTech, delivered through combined weekly remote classroom-based training, workplace assessment/training and online learning working towards completing the Data Analyst Apprenticeship Standard.
The training covers the following core occupational duties: https://skillsengland.education.gov.uk/apprenticeships/st0118-v1-1
Requirements
Essential qualifications
GCSE in:
- English (grade 4 (C))
- Maths (grade 4 (C))
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
- Administrative skills
- Logical
- Team working
- Creative
- Initiative
- Non judgemental
- Patience
- Understanding of Microsoft
- SQL
- Working with large data sets
- Solution-focused
- Personable
- Approachable
- Confident
- Time management
Other requirements
You must meet the following eligibility criteria to apply for the role: • Have been a UK/EEA resident for the last three years. • Hold valid residency status. • Have the right to work in the UK.
About this employer
We believe that everyone should have a warm, safe, affordable home. Since our creation in 2003, we have been committed to increasing the availability of affordable housing in the Forest of Dean, Gloucestershire, and the surrounding counties. In fact, in 2018 we pledged to build a further 1,000 affordable homes in the area by 2028. But we want to go further. We not only want to provide affordable homes, we want to create great homes that support communities. Creating great homes is not just about building new ones and we are committed to investing in our existing properties to make them more energy efficient, more affordable to run and reduce our impact on the environment. This is a long-term commitment, which we hope will help us achieve our ambition to become a net-zero organisation by 2050. Together we can make a real difference to the lives of thousands of families across our communities to ensure that everyone has access to a warm, safe, affordable home when they need it.
After this apprenticeship
During this apprenticeship, you will follow a fully supported training programme with LearnTech, delivered through combined classroom-based training, workplace assessment/training and online learning, at the end of which you will have the ability to work as a qualified Data Analyst.
Ask a question
The contact for this apprenticeship is:
TECHNICAL PROFESSIONALS LIMITED
The reference code for this apprenticeship is VAC1000344507.
Apply now
Closes in 25 days (Monday 27 October 2025 at 11:59pm)
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