Data Analyst Level 4
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Apprenticeship standard: Data Analyst Level 4
Duration: 15 months delivery, plus 3 month End Point Assessment (EPA)
Eligibility criteria:
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✔️ Fully-funded with Levy funding
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Key duties - Data Analyts Level 4
Data Analyst Skills England EPA.pdf
Develop the skills needed to turn complex data into clear, actionable insights that support business decision-making. In this programme, you’ll learn how to analyse, validate and interpret data using spreadsheets, SQL, Python and visualisation tools, moving confidently from raw data to insight. By applying statistical techniques and structured analytical approaches, you’ll spend less time preparing data and more time delivering meaningful analysis that drives outcomes.
This programme is designed for professionals who work regularly with data and want to deepen their analytical capability. It’s suited to those involved in reporting, analysis or decision support across any sector — including operations, finance, marketing, product, customer service and beyond — who are ready to move from basic reporting to more advanced, insight-led analysis.
We help learners to:
The programme is designed to meet the official Data Analyst Level 4 apprenticeship standard, which outlines 12 core duties of a competent Data Analyst.
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Cutting monthly reporting time
A finance manager used new spreadsheet automation and data visualisation skills to simplify monthly budget tracking and create real-time forecasting dashboards. This reduced manual reconciliation work by 50%, improved accuracy, and gave leadership up-to-date financial insights for faster decision-making.
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Turning customer feedback into action
A customer service team learned to combine feedback forms, call logs, and service records to pinpoint recurring issues. They cut resolution times by 25% in three months and improved satisfaction scores across all locations.
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Forecasting demand to reduce waste
A small food manufacturer used AI-assisted analysis to forecast product demand more accurately. This led to a 20% reduction in raw material waste and more consistent order fulfilment for customers.
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Boosting sales with smarter product insights
An independent retailer applied data analysis and visualisation skills to track product performance. They identified underperforming lines and shifted stock to bestsellers, increasing monthly revenue by 15%.
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From day one, each learner is paired with a dedicated Learner Success Coach who provides monthly 1-to-1 sessions. These sessions are used to track progress, set goals, and keep learning on course. The coach also determines when a learner is ready for the End Point Assessment (EPA).
This programme is divided into modules and sprints — focused learning blocks that cover specific skills and tools. Each sprint includes:
At the end of each sprint, learners complete the project which is reviewed live by an industry professional (Technical Mentor). There’s no classroom learning or exams, instead we’ve opted for a flexible, individual learning model.
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Technical Mentors
Boom Training mentors are seasoned experts with 5+ years’ experience working at leading companies such as Google, Spotify, or Meta, offering personalised, actionable feedback grounded in real-world practice – we’re the only training provider offering this!
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With access to over 150 active mentors, learners benefit from 1:1 support and gain insights into how professionals at some of the largest companies are applying these skills in their role, subsequently learning from the best!
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The optional modules give learners the chance to extend their analytical skills beyond the core programme, covering areas such as cohort analysis, retention and churn, funnel analysis, customer segmentation and Customer Lifetime Value. These modules allow organisations to carry out more detailed analysis and explore their data in greater depth.
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