Data Technician Level 3
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Apprenticeship standard: Data Technician Level 3
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 Technician Level 3
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📞 02380 004 209
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Transform your existing data into actionable insights and automate repetitive tasks with the help of AI. In this programme, you’ll learn how to analyse data in spreadsheets in minutes instead of hours, and how to spot where AI can save you time in your day-to-day work. You and your team will spend less time on data prep and more on decision-making.
This programme is ideal for professionals who regularly handle reports or other business information as part of their role but have not received any formal training. They may work in any sector — from manufacturing, retail, and hospitality to operations, finance, and customer service, marketing, sales, and more — but their role involves frequent exposure to data.
We help learners to:
The programme is designed to meet the official Data Technician Level 3 apprenticeship standard, which outlines 10 core duties of a competent Data Technician.
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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 Personal Tutor who provides monthly 1-to-1 sessions. These sessions are used to track progress, set goals, and keep learning on course. The tutor 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 opportunity to deepen their expertise in areas such as Python programming, advanced data analysis, and creating professional dashboards. These additional skills can strengthen your organisation’s in-house capabilities, reduce reliance on external analysts, and prepare team members to take on more complex projects.
Completing any of these modules also means the learner will automatically qualify for a reduction in off-the-job training (OTJ) hours for the Level 4 Data Analyst Apprenticeship, making future progression more efficient.
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