data analyst Level 4
Data is one of the most valuable assets within modern organisations, helping businesses understand performance, identify opportunities and make informed decisions. The Data Analyst Level 4 Apprenticeship equips learners with the knowledge, skills and behaviours needed to collect, analyse and interpret data to drive business improvement and support strategic objectives.
Throughout the programme, learners will gain experience using industry-standard tools and technologies to analyse data, create dashboards and support evidence-based decision-making. They will also develop an understanding of data governance, data ethics, legislation and emerging technologies, including Artificial Intelligence and automation.
Key Information
Duration
24 month programme followed by a 3-month End Point Assessment phase.
Funding options
If you pay into the apprenticeship levy this is 100% funded at £15000.
Or
a maximum £750 (5% contribution) for a non-levy employer.
Fully funded for a 16-21 within a non-levy employer.
Knowledge
Data Visualisation and Reporting
Learn how to present data effectively through dashboards, reports and visualisations. Understand the principles of data storytelling and how visual techniques can be used to communicate insights to different audiences.
Data Management and Governance
Develop an understanding of how data is collected, stored, managed and governed throughout its life-cycle. Learn about data structures, databases, data quality principles, data standards and the importance of maintaining accurate, secure and reliable information.
Data Analysis and Statistical Methods
Understand analytical techniques used to identify trends, patterns and insights within data. Learn how statistical methods can be applied to support decision-making, solve business problems and measure performance.
Data Modelling and Database Concepts
Develop knowledge of data models, database structures and relationships between datasets. Understand how data can be organised, transformed and queried to support analysis and reporting.
Business Context and Decision Making
Understand how organisations use data to support operational and strategic decision-making. Learn how data analysis contributes to business performance, efficiency, customer experience and organisational objectives.
Data Quality and Validation
Develop knowledge of common data quality issues, including inaccuracies, inconsistencies, duplication and missing information. Learn methods for validating, cleansing and improving data quality to ensure reliable analysis.
Legal, Ethical and Regulatory Requirements
Understand legislation, regulations and ethical considerations relating to data, including GDPR, the Data Protection Act, data privacy, information security and responsible use of data.
Stakeholder Engagement and Communication
Learn how to engage with stakeholders to understand business requirements and communicate analytical findings effectively. Understand how different audiences require different levels of technical detail and insight.
Data Analytics Tools and Technologies
Develop an understanding of industry-standard tools and technologies used for data analysis, visualisation and reporting, including spreadsheets, databases, business intelligence platforms and emerging analytical technologies.
Emerging Technologies and Artificial Intelligence
Explore the relationship between data, automation, machine learning and Artificial Intelligence. Understand the opportunities, limitations and ethical considerations associated with emerging technologies.
Skills
Data Collection and Preparation
Gather, extract, cleanse and prepare data from multiple sources for analysis. Ensure data is accurate, consistent and suitable for business requirements.
Data Analysis and Interpretation
Apply analytical techniques and statistical methods to identify trends, patterns and insights. Interpret findings and use evidence to support recommendations and decision-making.
Data Modelling and Querying
Create and maintain data models, query datasets and combine information from multiple sources to support analysis and reporting activities.
Data Visualisation and Reporting
Develop dashboards, reports and visualisations that communicate findings clearly and effectively. Present complex information in a format that supports stakeholder understanding and action.
Problem Solving
Use data to investigate issues, answer business questions and identify opportunities for improvement. Apply logical and analytical thinking to support organisational objectives.
Data Quality Assurance
Identify and resolve data quality issues, ensuring datasets are accurate, complete and reliable.
Stakeholder Management
Work collaboratively with stakeholders to understand requirements and provide meaningful analytical insights.
Communication and Presentation
Communicate findings effectively through written, verbal and visual methods, adapting communication styles to different audiences.
Compliance and Security
Store, manage and share data in accordance with legal, regulatory and organisational requirements.
Continuous Improvement
Evaluate processes, identify opportunities for improvement and adopt new tools and techniques to enhance analytical outcomes.
Behaviours
Professionalism
Demonstrate integrity, accountability and professionalism when working with data, systems and stakeholders.
Analytical Thinking
Apply curiosity, critical thinking and evidence-based reasoning to solve problems and support decision-making.
Attention to Detail
Maintain high standards of accuracy and consistency when collecting, analysing and reporting data.
Collaboration
Work effectively with colleagues and stakeholders, building positive relationships to achieve shared objectives.
Adaptability
Respond positively to change, embrace new technologies and continuously develop knowledge and skills.
Ethical Working
Handle data responsibly, ensuring compliance with legal, regulatory and ethical requirements.
Continuous Learning
Take ownership of professional development and remain up to date with industry trends, best practice and emerging technologies.
Who is the Data Analyst Level 4 Apprenticeship Suitable For?
This programme is particularly beneficial for:
- Data Technicians looking to progress into a more analytical role.
- Employees responsible for producing reports, dashboards and performance metrics.
- Individuals interested in using data to solve business problems and support decision-making.
- Organisations looking to strengthen their data-driven decision-making and analytical capabilities.Organisations looking to strengthen their cyber resilience and develop in-house security capability.
Find the full qualification specifications here.
Whether you are a learner or employer, National Upskill are here to assist you.
If you have any questions for our team, please get in touch at info@nationalupskill.co.uk.
You can also call us at 0333 772 9534.
