Data Analyst apprentice

Sunderland City Council

Sunderland (SR1 3AD)

Closes in 12 days (Sunday 9 August 2026)

Posted on 28 July 2026

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Summary

You will be provided with unparalleled support throughout the duration of your programme. You will develop the skills you need for the job by working alongside IT colleagues whilst gaining hands on experience at the same time as working towards a Data Analyst Level 4 qualification.

• Wage:

  £25,949 a year

  Minimum wage rates (opens in new tab)

  £25,949 – £25,989 (yearly increases on 1st April)

• Training course: Data analyst (level 4)
• Hours: Working pattern to be agreed with line manager (flexible working may be available).

  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

As an Apprentice, you will work within the Data, Digital, Development and Systems Team. This is a learning and development role designed to give the post holder broad experience of data analysis within a local authority environment.

Working under the guidance of Data Scientists and other experienced colleagues, you will develop the knowledge, skills and behaviours required for the Level 4 Data Analyst Apprenticeship while contributing to real analytical work across the organisation.

You will: Support the provision of a data service by collecting, organising, analysing and interpreting data to help answer questions, identify trends and support evidence-based decision-making.

Develop skills in inspecting, cleansing, transforming and modelling data, ensuring work is accurate, well documented and completed with appropriate attention to detail.

Communicate data findings clearly to technical and non-technical colleagues, helping others understand what the data shows and how it can be used to inform service planning and improvement.

Assist with the production of reports, dashboards and documentation ensuring information is presented in a clear and accessible way.

Key tasks:

• Process, prepare and manage data including data collection, cleansing, validation, storage, retrieval and documentation
• Work with others to understand data requirements and support the development of appropriate analytical products
• Extract data from a range of systems and datasets, then undertake analysis to identify trends, patterns, issues and opportunities for improvement
• Use appropriate data analysis, reporting and visualisation tools, which may include Excel, Power BI, SQL or other relevant platforms, to support the creation of reports, dashboards and insight products
• Apply critical thinking and objective analysis to help form conclusions that are evidence-based, balanced and able to withstand appropriate challenge
• Design and support the production of routine and ad hoc reports, including clear presentational formats suitable for different audiences
• Support the translation and sharing of outputs through clear communication, awareness raising and signposting to relevant information
• Maintain accurate records of analysis, methods, assumptions and data sources to support transparency, quality assurance and future use
• Work towards successful completion of the Level 4 Data Analyst Apprenticeship, including participation in required learning, portfolio development, off-the-job training and any other development required for the post
• Adhere to local procedures, particularly those relating to information governance, data protection, data quality, security and responsible use of data

Where you'll work

Plater Way
Sunderland
SR1 3AD

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

Training provider

CITY OF SUNDERLAND COLLEGE

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

The training will be provided by Sunderland College 

Requirements

Essential qualifications

GCSE in:

• English (grade 9-4)
• Maths (grade 9-4)

Desirable qualifications

Level 3 qualification or equivalent in:

IT (grade Pass)

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
• Organisation skills
• Customer care skills
• Problem solving skills
• Analytical skills
• Logical
• Team working
• Initiative
• Time management

Other requirements

• Must be 16 or over at the start of the apprenticeship
• Not in full-time education
• Be a UK citizen or have proof of right to work in the UK
• Have lived in the UK/EEA for the last 3 years or more
• Must have the legal right to work in the UK for the full duration of the apprenticeship
• You cannot undertake an apprenticeship if you already have a higher qualification in the same subject

About this employer

Sunderland is a fantastic, forward-looking, ambitious city undergoing significant transformation and economic regeneration. From the seafront and the city centre, to building locations of national strategic significance, we are creating the very best conditions for our 280,000 residents who live here and those who come to the city to work.

We provide a huge variety of services across the city, currently employing approximately 2,500 people in many roles ranging from gardeners to building maintenance technicians, ICT experts to social workers and many more. At all levels we work together to achieve real change across the city.

Sunderland is one of the few cities in the UK to be situated on the coast, whilst benefitting from easy access to the countryside, a short drive from two international airports, direct rail access to London and less than a twenty-minute drive from Durham and Newcastle.

We have a growing cultural scene. Sunderland Empire theatre attracts high-profile West End productions, and the Fire Station is Sunderland’s premier live music and performance venue. The National Glass Centre, Sunderland Museum and Winter Gardens and Northern Gallery of Contemporary Art are all close to the city centre.

Sunderland is a great place to work. Wherever you’re coming from, you’ll discover a place – and people – that will make you feel at home.

 

Company benefits

• Access to LG 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

Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).

• Technical specialist

Ask a question

The contact for this apprenticeship is:

Sunderland City Council

Sharon Lowes, Senior Development and Intelligence Lead

sharon.lowes@sunderland.gov.uk

The reference code for this apprenticeship is VAC2000045161.

Apply now

Closes in 12 days (Sunday 9 August 2026)

After signing in, you’ll apply for this apprenticeship on the company's website.