DEVELOPs IN-DEMAND DATA ANALYTICS SKILLS FOR ROLES ACROSS THE INDUSTRY
Understanding data is now a core skill for every role in fashion and retail. The Level 4 Data Analyst apprenticeship empowers your team to use data to drive positive change across all business areas, from design and development to marketing and operations.
Learners will use industry data sets and real-life scenarios to gain confidence in this sought-after skillset, learning to interpret trends, understand customer behaviour, and analyse and present their findings to highlight new opportunities for your business.
KEY INFORMATION
- Identify, understand and solve the challenges facing your brand
- Teaches data dashboard building, creating interactive graphs and presentations and advanced Excel skills
- Covers data security, GDPR and ethical responsibilities
APPRENTICESHIP DETAILS
The Level 4 Data Analyst apprenticeship is designed to embed a data-driven culture within modern retail businesses.
- Open cohorts start in February/March, April/May and September/October
- Closed cohorts can start at any time
- Hybrid, online and in-person delivery
- Practical experience balanced with theoretical learning
The Level 4 Data Analyst programme is suitable for any employee that uses data on a daily basis as part of their role. Learners will explore the key stages of the data lifecycle, including governance, planning, capturing, processing, analysis, visualisation and presenting, as well as gaining an understanding of key data languages and business intelligence tools.
On completion of this apprenticeship, learners will have the knowledge, skills and behaviours to investigate data and business intelligence, and use this to solve problems and inform commercial decisions to drive efficiency, profit and growth.
The Level 4 Data Analyst apprenticeship costs £15,000 per learner which includes End-Point Assessment.
Funding
Apprenticeships can be funded from your Apprenticeship Levy or by Government Co-Invest. If you do not pay the Levy, the Government will fund 95% of the programme, meaning you pay as little as £750 per person you enrol. We are also able to offer privately funded places for any employees not eligible for apprenticeship funding. For further information about funding options, eligibility and costs, please contact us.
Cost Includes:
- Bespoke off-the-job learning plan
- Programme Manager overseeing the learner journey and apprentice experience
- Delivery of the programme by retail experts
- Blend of sessions including online learning, webinars, in-person workshops, and individual coaching and support
- Preparation and support for End-Point Assessment
- Dedicated Client Manager
- Access to FRA resources including WGSN, LinkedIn Learning, Global Data, Business of Fashion, Fashion/Beauty Monitor and Drapers
- Online e-Portfolio
- Monthly progress report
Duration: 15 months
The Level 4 Data Analyst apprenticeship typically takes 15 months to complete, followed by a period of end-point assessment of approximately 3 months.
Open Cohort Intakes
February/March
April/May
September/October
Enquire now to secure places for your team
Closed Cohorts
We can begin a closed intake apprenticeship at any time that suits your brand. We require a minimum of 10 learners to offer a closed cohort for Level 4 Data Analyst.
For our closed-access programmes, we can devise a flexible programme and delivery model to support the needs of your business – please get in touch to find out more about the options available.
Off-the-job learning is delivered through a combination of full day and half day group workshops approximately every 2 weeks, which may take place online or in person.
Data Governance & Security
- Data legislation (e.g. GDPR) and organisational security policies.
- Implement privacy by design principles.
- Work securely with data systems.
- Address ethical considerations in data collection and use.
Data Lifecycle & Management
- Understand and implement all stages of the data lifecycle.
- Classify and manage different data types (structured, unstructured, open, administrative).
- Combine data from multiple sources while managing risks.
Data Architecture & Systems
- Understand data structures and database fundamentals.
- Design, implement, and maintain data systems.
- Apply organisational data architecture to support analysis.
Data Analysis Techniques & Tools
- Use descriptive, predictive, and prescriptive analytics.
- Apply statistical methods, forecasting, data mining, and modelling.
- Select appropriate tools to optimize analysis outcomes.
- Consider user experience and domain context.
Insight Generation & Reporting
- Collate, interpret, and present qualitative and quantitative data.
- Create dashboards, reports, infographics, and visual data presentations.
- Identify and communicate trends and patterns to stakeholders.
Data Quality & Risk Management
- Identify data quality risks and suggest mitigation strategies.
- Ensure accuracy and integrity of data and analysis.
- Investigate causes of data issues and prevent recurrence.
Professionalism, Problem Solving & Stakeholder Communication
- Develop logical, analytical, and critical thinking skills.
- Solve complex problems independently and collaboratively.
- Communicate data insights clearly to diverse audiences and stakeholders.
- Practice accountability and ethical work practices.
End-point assessment
For the Level 4 Data Analyst apprenticeship, end-point assessment is provided by EFI Awards. EPA typically takes 3 months to complete.
EPA includes work-based project including presentation and Q&As, and professional discussion.