Data Analyst Level 4
Data Analyst Level 4 overview
The Level 4 Data Analyst programme builds the technical and ethical skills necessary to turn raw data into actionable business insights. You will cover the entire data lifecycle, from thorough collection and SQL-based database management to advanced data cleaning with Python or R and expert-level Excel. The curriculum combines rigorous statistical techniques such as regression and hypothesis testing with an introduction to machine learning, ensuring you can deliver both descriptive and predictive insights. With a strong understanding of UK GDPR
and data ethics, you will learn to integrate different data sources into interactive Power BI or Tableau dashboards, ultimately sharpening your professional communication skills to present complex findings as clear, strategic recommendations to stakeholders.
Modules covered in the programme:
- Introduction to Data Analysis and the Data Lifecycle
- Data Governance, Ethics, and Compliance
- Spreadsheet Tools and Advanced Excel for Data Analysis
- Databases and SQL for Data Management
- Programming for Data Analysis
- Statistical Methods and Analytical Techniques
- Data Visualisation and Dashboarding
- Advanced Data Tools and Integration
- Introduction to Machine Learning and Predictive Modelling
- Provides an overview of basic machine learning techniques, model building, evaluation, and
applying predictive analytics to business problems. - Communication, Presentation, and Professional Behaviours Focuses on presenting findings to stakeholders, report writing, making recommendations, stakeholder engagement, project management basics, and behaviours such as adaptability and logical thinking.
- The Level 4 Data Analyst Apprenticeship is ideal for:
- Data Analysts
- Business Intelligence Analysts
- Operations Analysts
- Marketing Analysts
- Financial Analysts
- IT Support Analysts
Maths, English and Functional Skills within the Apprenticeship
All apprentices have the opportunity to develop their English and maths skills as part of their apprenticeship and will need to develop sufficient skills to demonstrate competence in their chosen apprenticeship standard. A 16-18-year-old must complete functional skills qualifications if they do not already hold any qualifications. An individual aged 19 or over who does not hold existing qualifications should, with their employer, decide whether to pursue functional skills; however, these are not mandatory for programme completion.
The End Point Assessment Process
End Point Assessment
The End Point Assessment (EPA) for the Level 4 Business Analyst is designed to test your ability to apply analysis techniques to real-world business problems. It focuses on your competence in identifying requirements, modelling processes, and delivering a viable business case.
The assessment is typically comprised of two core components:
- Data Analysis Project with Presentation & Questioning
This is the most critical part of your assessment. It requires you to conduct a real-world data
project within your organisation after you have passed “Gateway.” The Project Report: You have 8 weeks to complete a data project and write a 3,500- word report. This report must detail the end-to-end data lifecycle: from initial requirement gathering and data cleansing to sophisticated analysis and recommendations. The Presentation: Once your report is submitted, you will deliver a 20-minute presentation to an Independent Assessor. This is your chance to showcase your visualisations (e.g., Power BI or Tableau dashboards) and explain your methodology. Questioning: The presentation is followed by a 20-minute Q&A session. The assessor will ask a minimum of 8 questions to probe your technical choices, such as why you chose specific statistical tests or how you ensured data quality. - Professional Discussion (Underpinned by Portfolio) This is a formal, one-hour conversation that proves you have developed the necessary professional behaviours and technical knowledge during your training. The Portfolio: While on-programme, you will collect evidence of your best work—such as SQL queries you’ve written, Python scripts for automation, or evidence of how you handled a GDPR-sensitive data request. The Discussion: This lasts 60 minutes. The assessor will ask at least 10 open-ended questions based on your portfolio. They are looking for evidence of your problem-solving mindset, your ability to handle data ethically, and your skill in communicating technical findings to non-technical audiences.