Apprentice Adult Services Intelligence Analyst
Sunderland City Council
Sunderland (SR1 1PB)
Closes in 13 days (Friday 6 March 2026)
Posted on 20 February 2026
Contents
Summary
Are you looking to develop a career in data analysis? Why not come and work for us and gain a qualification! We will provide unparalleled support to help develop the required skills, working alongside experienced colleagues whilst gaining hands on experience at the same time as working towards a recognised qualification.
- Wage
-
£25,583 a year
Check minimum wage rates (opens in new tab)
Grade 2 (SCP 5-6) £25,583 - £25,989
- Training course
- Data analyst (level 4)
- Hours
-
Monday to Friday, 9am to 5pm (with the ability to work flexibly on an agile basis)
37 hours a week
- Start date
-
Tuesday 1 September 2026
- Duration
-
2 years 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
Working with colleagues to:
- Provide an information service to Adult Services by analysing data and interpreting and reporting on the results
- Undertake complex statistical analyses
- Communicate analytical and statistical matters to non-analytical/statistical professionals, offering advice, and persuading them on statistical techniques to be used
- Deal with statistical and analytical queries, assessing whether analyses are robust e.g., investigating data anomalies identified during analyses, instigating corrective action as required
- Provide reports and documentation suitable for managers and senior managers throughout the organisation and external organisations
- Following a structured apprenticeship framework to complete a professional qualification
Where you'll work
The Software Centre
Tavistock Place
Sunderland
SR1 1PB
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
CORNDEL 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
Data Analyst Level 4.
Requirements
Essential qualifications
GCSE in:
- English Language (grade Grades 9–5)
- Maths (grade Grades 9–5)
A Level in:
Other 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
- IT skills
- Problem solving skills
- Analytical skills
- Team working
- Positive attitude
- Willingness to learn
Other requirements
Minimum of 5 GCSE's including maths and English Language, Grade 9 - 5 or equivalent.
About this employer
Sunderland is a city full of ambition, and Sunderland City Council is a brilliant place to grow your career. We’re passionate about creating the best possible environment for our employees, communities, and local businesses to thrive. With around 2,500 employees delivering a wide range of services across the city, we offer opportunities at every level and in many different areas. Whether you’re just starting out in employment or looking for your next challenge, every role plays a vital part in helping us provide excellent services for the people of Sunderland. Come and be part of something meaningful and help shape the future of our city.
Company benefits
- Access to Pension Scheme
- 26 days leave + bank hols
- Statutory & organisational sick pay
- 3 days paid leave per year for voluntary work
- Employee wellbeing support
- Discounted public transport travel pass
Disability Confident
A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.
You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.
After this apprenticeship
Data Analyst.
Ask a question
The contact for this apprenticeship is:
CORNDEL LIMITED
The reference code for this apprenticeship is VAC2000016910.
Apply now
Closes in 13 days (Friday 6 March 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.