Junior Data Analyst Apprenticeship
Citizen Housing Group Limited
Birmingham (B37 7YN)
Closes in 27 days (Monday 24 August 2026)
Posted on 27 July 2026
Contents
Summary
The successful candidate will receive structured training through Baltic Apprenticeships. This includes two-day training blocks every 4-6 weeks, alongside continuous workplace learning and mentoring, allowing the apprentice to build both technical knowledge and practical experience while developing their career in Data.
- Wage
-
£15,392 to £24,454.04, depending on your age
National Minimum Wage
- Training course
- Data technician (level 3)
- Hours
-
37 hour working week
37 hours a week
- Start date
-
Wednesday 2 September 2026
- Duration
-
1 year 3 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
- Assisting colleagues with day-to-day data management tasks
- Extracting and processing data for operational stakeholders using a variety of tools, following data quality requirements.
- Analysing data sources to identify discrepancies, patterns and trends.
- Assisting colleagues to identify root causes of data quality issues and to work with stakeholders to resolve them.
- Assisting with data literacy training e.g. testing new e-learning materials
Where you'll work
Unit 4040, Lakeside
Solihull Parkway, Birmingham Business Park
Birmingham
B37 7YN
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
BALTIC TRAINING SERVICES LIMITED
Training course
Data technician (level 3)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Select and migrate data from already identified sources.
- Format and save datasets.
- Summarise, analyse and explain gathered data.
- Combine data sets from multiple sources and present in format appropriate to the task.
- Use tools and/or apply basic statistical methods to identify trends and patterns in data.
- Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
- Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
- Demonstrate the different ways of communicating meaning from data in line with audience requirements.
- Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
- Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
- Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
- Parse data against standard formats, and test and assess confidence in the data and its integrity.
- Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
- Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
- Follows equity, diversity and inclusion policies in the organisation for a common goal.
- Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.
- Select and migrate data from already identified sources.
- Format and save datasets.
- Summarise, analyse and explain gathered data.
- Combine data sets from multiple sources and present in format appropriate to the task.
- Use tools and/or apply basic statistical methods to identify trends and patterns in data.
- Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
- Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
- Demonstrate the different ways of communicating meaning from data in line with audience requirements.
- Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
- Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
- Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
- Parse data against standard formats, and test and assess confidence in the data and its integrity.
- Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
- Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
- Follows equity, diversity and inclusion policies in the organisation for a common goal.
- Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.
Training schedule
Baltic Apprenticeships were the first training provider to offer a completely tech-focused, tech-driven training solution. We help people transform their knowledge and passion into skills that employers need.
This apprenticeship will teach you essential data skills, including how to source, format and present data; data validation and analysis; and how to apply legal and ethical principles when gathering and manipulating business data.
Requirements
Essential qualifications
GCSE in:
- English (grade 4)
- Math (grade 4)
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
- Customer care skills
- Problem solving skills
- Administrative skills
- Number skills
- Analytical skills
- Team working
About this employer
At Citizen, we believe that home is the foundation for life. As a Junior Data Analyst Apprentice, you'll play an important role in helping us use data to improve services, support informed decision-making, and create better outcomes for our customers and communities. This is an exciting opportunity to develop your analytical and technical skills while working towards a recognised qualification, gaining hands-on experience with experienced professionals who are passionate about making a positive social impact. If you're curious, eager to learn, and motivated by using data to solve real-world problems, we'd love to hear from you.
Company benefits
- 26 days annual leave plus bank holidays
- Annual leave purchase scheme – option to buy up to an additional 5 days per year
- Opportunities for continuous learning and career advancement.
- Organisational sick pay
- Comprehensive health insurance and wellness programs.
- Flexible working hours and generous leave policies.
- Access to training programs and career development resources.
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
This apprenticeship programme will provide you with everything you need to launch and develop your career in Data. Afterwards, we’ll support you to take the next steps, including further training and progression onto a Level 4 qualification.
Ask a question
The contact for this apprenticeship is:
BALTIC TRAINING SERVICES LIMITED
Lucy Oliphant
lucy.oliphant@balticapprenticeships.com
The reference code for this apprenticeship is VAC2000044957.
Apply now
Closes in 27 days (Monday 24 August 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.