Data Analyst

Level 4 Apprenticeship

Unlock the power of data

Our Data Analyst programme is ideal for those roles where data is used to make important, insight-based decisions. Data analysts help the business drive value for your customers through meaningful analysis.

Data Analyst

Apprenticeship Overview

Who the Programme is for?

Qualification

Level 4 Data Analyst Apprenticeship

Delivery

Online pre-learning, face to face or online workshops. Coaching sessions and progress reviews

Start Dates

Programmes are delivered on demand starting at many points through the year

Assesssment

Apprentices are assessed against Knowledge, Skills & Behaviour criteria throughout the programme. Leading to independent End Point Assessment

Cost

The cost of this programme is covered through the apprenticeship levy. Employers that do not pay into the levy may pay just 5% of the funding value

Data Analyst​

Why choose MetaGedu Apprenticeship?

Improving Performance and Increasing Efficiency

Analysing data helps organisations assess performance. Allowing cost savings and efficiencies to be implemented

Act on Key Information

Data analysts work to understand and identify trends, adding market value. Interrogating data to support a range of functions

Grow Your Business with the power of data insights

Using data storytelling to engage and inspire. Targeting key customers through data insights to improve conversion rates

Elevate Your Workforce with MetaGedu

  • Programmes created specifically for your business needs.
  • The option of face-to-face delivery and reviews.
  • Grow your own talent with apprenticeships for career starters.
  • Succession plan with apprenticeships designed to upskill your existing staff.

FAQs

The Data Analyst Apprenticeship is a structured training programme designed to equip apprentices with the skills needed to analyse and interpret data effectively. Apprentices will learn how to manipulate and visualise data, use analytical tools, and gain insights that drive business decisions. The apprenticeship includes both a theoretical learning component and practical, on-the-job training, giving apprentices the opportunity to apply their knowledge in real-world settings.

Yes, the Data Analyst Apprenticeship is open to both new recruits and existing employees who wish to enhance their data analysis skills. Apprenticeships are available to individuals aged 16 and over.

Levy paying employers will pay the full cost of the agreed funding band using their Digital Apprenticeship account.
 
For new starts from 1st April 2024, employers who do not pay the levy, the government will fully fund apprenticeship training costs, up to the funding band maximum for apprentices who at the start of their apprenticeship training are aged between:
 
•16 and 21 years old (or 15 years of age if the apprentice’s 16th birthday is between the last Friday of June and 31 August)
 
•22 and 24 years old and have either an education, health and care plan (EHCP) provided by their local authority or have been in the care of their local authority and their employer has fewer than 50 employees.
 
Non-levy paying employers taking on an apprentice who does not meet the above age and eligibility criteria will be required to pay the 5% co-investment fee.

Skills shortages and staff retention continue to be major challenges for UK businesses. Apprenticeships provide a cost-effective solution for businesses in all industries to attract new talent and invest in workforce development. By training staff with the right skills, employees can take on a broader range of tasks and new responsibilities. This helps address skill shortages, reduce staff turnover, enhance customer experience and boost productivity.

The modules will focus on key resposnibilities of this role –
 
-Principles of Data
– Customer & User Experience
– Manipulation & Visualisation
– Data Architecture
& Cloud
– Analysis & Statistics
– Professional growth and
EPA prep

A Data Analyst apprentice can unlock significant value for your business by transforming data into actionable insights that drive decision-making and improve customer outcomes. Trained in data manipulation, visualisation, and advanced statistical analysis, they can identify trends, detect root causes, and deliver impactful reports that support strategic objectives. Their expertise in data architecture, cloud technologies, and big data allows them to design efficient data systems and ensure data flows seamlessly across platforms. By helping you understand user experiences and prioritising business requirements, they enable more customer-centric decisions. Ultimately, they empower your organisation to make data-driven choices that enhance efficiency, innovation, and competitiveness.

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