Data Analyst Apprentice

Summary

You will transform raw data into actionable insights for property portfolios, managed databases, build performance dashboards, and translate complex metrics into strategy. Core responsibilities include validating data, creating reporting models, and identifying investment or lifecycle trends.

Wage

£20,000 a year

£20,000 - £23,000 per annum

Training course

Data analyst (level 4)

Hours

Days and shifts to be confirmed.

40 hours a week

Start date

Wednesday 26 August 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

• Data management: Collect, cleanse, validate, and maintain asset data across enterprise databases and investment platforms, ensuring data accuracy, integrity, and accessibility for business decision-making.
• Reporting & visualisation: Develop and maintain dashboards and performance reports to monitor Key Performance Indicators (KPIs), asset health, lifecycle costs, and operational performance. Analyse trends and present actionable insights to support asset management objectives and continuous improvement initiatives.
• Strategic planning: Provide data-driven analysis and recommendations to inform maintenance strategies, investment planning, decarbonisation programmes, and long-term asset performance objectives. Support strategic decision-making through forecasting, scenario modelling, and performance evaluation.
• Stakeholder engagement: Translate complex technical and analytical findings into clear, concise, and jargon-free reports and presentations for both technical and non-technical audiences. Collaborate with internal and external stakeholders to understand business requirements and communicate insights that drive informed decision-making.

Where you'll work

Diamond House
Birmingham Airport
Birmingham
West Midlands
B26 3QJ

Training

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

Training provider

QA LIMITED

Training course

Data analyst (level 4)

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

Why choose our Data Analyst apprenticeship?

QA's Data Analyst Level 4 apprenticeship develops the skills needed to collect, organise and study data to provide valuable business insight.

The principles of data analytics are being applied across just about every industry. Using past-event data, analysts are making important insight-based business decisions and driving customer value across every team and function, including operations, finance, sales and marketing.

At QA we have deep-rooted expertise in Data, Analytics and AI. Our solutions transform the way that individuals use data and enable organisations to make more data-driven business decisions.

QA's Data Analyst Level 4 apprenticeship programme enables your organisation to:

• Build the skills and capabilities you need throughout your organisation to analyse, interrogate and present technical data, providing informed and valuable business insights to a range of stakeholders.
• Upskill or reskill your existing workforce with data skills and create analysts for the modern day workplace.
• Recruit and harness a new talent pathway: QA can help you cost-effectively recruit diverse, ambitious talent into your business and help you build a pipeline of data literacy talent.

Delivered by industry experts with real-world experience, the programme’s content has been designed around real-life skills and includes the additional PL-300 Microsoft Power BI Data Analyst certification (see below). The technical content aligns to and is relevant to employers and the market.

Upon successful completion, learners will be awarded the Data Analyst Level 4 apprenticeship.

Tools and technologies learned:

Learners will learn to use visualisation tools such as (PowerBI, Tableau), SQL Server, SSIS, Python and R programming languages, and Cloud Technologies such as: Azure, AWS, GCP.

Requirements

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Skills

IT skills

Other requirements

Entry requirements:

Standard entry:

• Level 3 qualification (apprenticeship/A-levels/BTEC, etc)
• OR equivalent work experience (typically two years in a relevant role)

Plus:

• 5 GCSEs, including English and Maths at Grade 4 (C) or above 
• Experience with using Excel (in particular pivot tables and XLookup) and Microsoft products (or similar)

You may also have a combination of qualifications and experience which demonstrate the minimum foundation needed for the programme. In this instance you could still be considered for the programme.

If you hold international equivalents of the above qualifications, at the time of your application you must be able to provide an official document that states how your international qualifications compare to the UK qualifications. 

For more information please visit the UK ENIC website.