Data Analyst Apprentice
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.
Role
- 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.
Training
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.
90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average.
- Apprenticeship Standard
- Data analyst (level 4)
- Training Provider
- QA LIMITED
- Working Week
- Days and shifts to be confirmed.
- Expected Duration
- 1 Year 6 Months
- Positions Available
- 1
- Closing Date
- Wednesday, 19th August 2026
- Start Date
- Wednesday, 26th August 2026
Desired Skills
- IT skills