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Data Analyst Level 4

A Data Analyst apprenticeship is an excellent choice for employers looking to build in-house data capability and support workforce development in the rapidly growing field of data science and analytics. Data analysts are in high demand across industries including technology, finance, and healthcare, enabling organisations to turn data into insight, improve decision-making, and drive business performance.

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Overview

KSBs

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Course Overview

Embark on a transformative journey with our Level 4 Data Analyst Apprenticeship and equip your key stakeholders with unique insights to enhance strategic decision-making processes. Gain hands-on experience in data manipulation, visualisation and analysis techniques.

Data analysts are employed across various sectors, including but not limited to retail, banking, media, logistics, and government. Their role is crucial in any organisation that relies on data to drive business decisions. These professionals may be positioned in different departments such as finance, sales, HR, or marketing, serving either public or private sectors.

On a day-to-day basis, data analysts interact with both internal stakeholders and external clients, providing crucial data insights and analyses. They generally operate within standard business hours from an office setting.

Data analysts are tasked with producing and managing their outputs to align with organisational goals. They must operate within the framework of their company’s data architecture and adhere to relevant data protection laws and policies. As the field of data analytics is ever-evolving, they are also expected to keep up-to-date with the latest developments in data technologies, tools, and industry practices.

15 months + EPA

End point assessment or “EPA” has been created to assess the knowledge, skills and behaviours gained throughout the qualification. EPA is conducted by an external independent body chosen by the employer.

EPA offers the chance to showcase your skills and be awarded a grade that reflects your performance.

EPA will consist of the below activities:

  • Project with presentation and questioning
  • Professional discussion underpinned by a portfolio of evidence

Fully funded through the Apprenticeship Levy or 95% government-funded for eligible employers, with minimal contribution required.

The primary purpose of a data analyst is to explore how data can be utilised to answer questions and address problems. This involves processes such as collecting, examining, cleaning, transforming, and modelling data. The aim is to uncover valuable insights, support conclusions, and aid in making informed decisions. Data analysis incorporates several methods and techniques, playing an essential role in enhancing the evidence-based decision-making of an organisation. 

Candidates should already be working within a data related role with direct opportunity to develop and apply data analysis skills within their job role. Employers may also provide additional entry criteria.

Learners aged 18 who do not have exemptions will still be required to achieve Level 2 Functional Skills.
Learners over 19 will have the option to either opt in or out of Functional Skills training and examinations. For those who choose to opt out, Fareport remains committed to supporting all learners in developing their literacy and numeracy skills by embedding these essential topics within the curriculum and assessments of the apprenticeship.

To be eligible for an Apprenticeship you (or the apprentice) must:

  • Be living and working in England
  • Be 16 years old or above – if the HTQ is included you must be 18+
  • Have the legal right to work in the UK
  • Have maintained UK residency for the last 3 years
  • Be employed in a real job; they may be an existing employee or a new hire
  • Work towards achieving an approved apprenticeship standard or framework
  • Work at least 30 hours a week
  • Be able to commit to the apprenticeship and its requirements
  • Not hold a prior qualification at the same or higher level in the same subject area
  • Not undertake or benefit from DfE funding during their apprenticeship programme, including Student Loans.
  • Have apprenticeship training and employment that lasts at least 12 months.
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Knowledge, Skills & Behaviours

Knowledge (K) – The theoretical understanding an apprentice needs to perform their role effectively. This includes industry-specific principles, regulations, and best practices.

  • K1: current relevant legislation and its application to the safe use of data
  • K2: organisational data and information security standards, policies and procedures relevant to data management activities
  • K3: principles of the data life cycle and the steps involved in carrying out routine data analysis tasks
  • K4: principles of data, including open and public data, administrative data, and research data
  • K5: the differences between structured and unstructured data
  • K6: the fundamentals of data structures, database system design, implementation and maintenance
  • K7: principles of user experience and domain context for data analytics
  • K8: quality risks inherent in data and how to mitigate or resolve these
  • K9: principal approaches to defining customer requirements for data analysis
  • K10: approaches to combining data from different sources
  • K11: approaches to organisational tools and methods for data analysis
  • K12: organisational data architecture
  • K13: principles of statistics for analysing datasets
  • K14: the principles of descriptive, predictive and prescriptive analytics
  • K15: the ethical aspects associated with the use and collation of data

More information on the Standard is available here.

Skills (S) – The practical abilities developed through training and hands-on experience. These are the technical and transferable skills required for the job.

  • S1: Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
  • S2: implement the stages of the data analysis lifecycle
  • S3: apply principles of data classification within data analysis activity
  • S4: analyse data sets taking account of different data structures and database designs
  • S5: assess the impact on user experience and domain context on data analysis activity
  • S6: identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
  • S7: undertake customer requirements analysis and implement findings in data analytics planning and outputs
  • S8: identify data sources and the risks and challenges to combination within data analysis activity
  • S9: apply organizational architecture requirements to data analysis activities
  • S10: apply statistical methodologies to data analysis tasks
  • S11: apply predictive analytics in the collation and use of data
  • S12: collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
  • S13: use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
  • S14: collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
  • S15: select and apply the most appropriate data tools to achieve the optimum outcome

Behaviours (B) – The professional attitudes and values expected in the workplace. These include teamwork, adaptability, problem-solving, and ethical responsibility.

  • B1: maintain a productive, professional and secure working environment
  • B2: show initiative, being resourceful when faced with a problem and taking responsibility for solving problems within their own remit
  • B3: work independently and collaboratively
  • B4: logical and analytical
  • B5: identify issues quickly, investigating and solving complex problems and applying appropriate solutions. Ensures the true root cause of any problem is found and a solution is identified which prevents recurrence.
  • B6: resilient – viewing obstacles as challenges and learning from failure.
  • B7: adaptable to changing contexts within the scope of a project, direction of the organisation or Data Analyst role.

Meet the Trainers

Frequently Asked Questions

Off-the-job training is a mandatory requirement for all apprenticeships in the UK. It ensures that apprentices develop the Knowledge, Skills, and Behaviours (KSBs) outlined in their apprenticeship standard, beyond their day-to-day work duties.

How Much Off-the-Job Training is Required?
Apprentices must spend the equivalent of 6 hours per week on off-the-job training, which must take place during their normal working hours. This structured learning approach is designed to enhance their professional development and directly relate to their apprenticeship programme.

What Activities Count as Off-the-Job Training?
Off-the-job training can be delivered in various ways, including:
✔ Training sessions with Fareport – workshops, workbooks, online learning, and assignments
✔ Employer-led training – mentoring, job shadowing, and workplace projects
✔ Industry-related learning – attending relevant seminars, courses, or training events

This training can take place at the apprentice’s usual workplace or offsite, but it must always be completed within their normal working hours.

How is Off-the-Job Training Planned?
At Fareport Training, we work closely with employers and apprentices to plan and document off-the-job training within the Training Agreement. This ensures a structured learning journey that aligns with business needs while meeting apprenticeship requirements.

By dedicating time to off-the-job training, apprentices gain valuable knowledge and experience, helping them develop professionally and contribute more effectively to their workplace.

Fareport Training is an Ofsted ‘Good’ work-based training provider, delivering apprenticeships and commercial training to employers aiming to enhance their workforce’s skills and qualifications (indeed.com).

Established in 1981, Fareport has a longstanding reputation for high-quality training across various sectors.

Benefits of Partnering with Fareport:

Enhanced Skills and Productivity: Employers have reported that apprenticeships through Fareport help develop relevant skills, improve productivity, and enhance the quality of products or services.

Comprehensive Support: Fareport collaborates closely with employers to design high-quality teaching sessions tailored to business requirements, ensuring that apprentices gain substantial new knowledge, skills, and behaviors applicable to their roles (files.ofsted.gov.uk).

Employee Development and Retention: By investing in apprenticeships, employers can grow their own talent, leading to improved employee morale and loyalty.

Collaborating with Fareport Training enables organisations to effectively upskill their workforce, fostering growth and maintaining a competitive edge in their respective industries.

Fareport Training is an Ofsted ‘Good’ work-based training provider. We deliver Apprenticeships, Skills Bootcamps and Commercial Training across England to employers who want to upgrade the skills and qualifications of their workforce.

An apprenticeship in the UK is a paid position that combines practical on-the-job training with academic learning, leading to nationally recognised qualifications. Typically, apprentices spend around 20% of their working hours on classroom, 1-2-1 or individual learning, while the remainder is dedicated to hands-on work experience. This structure allows individuals to earn a salary while gaining valuable skills and credentials in their chosen field. Apprenticeships are for new employees as well as existing employees.

As of November 2025, the UK apprentice minimum wage is £7.55 per hour for apprentices under 19 or in their first year.

Apprentices are entitled to the apprentice rate if they’re either:

  • Aged under 19
  • Aged 19 or over and in the first year of their apprenticeship

Apprentices are entitled to the minimum wage for their age if they both aged 19 or over and have completed the first year of their apprenticeship.

No, you are only eligible to study our courses if you are living or working in England and meet all our eligibility criteria.

A career as a data analyst in the UK offers promising prospects, with professionals in high demand across sectors such as finance, healthcare, retail, and government. Data analysts play a crucial role in interpreting complex datasets to inform strategic decisions (Prospects).
Salaries for data analysts vary based on experience and location. Entry-level positions often start around £20,000, with experienced analysts earning up to £58,000. The data sector’s rapid growth further enhances career opportunities, with companies actively seeking skilled professionals (The Times).
For individuals with strong analytical skills and proficiency in data tools, pursuing a data analyst career can be both fulfilling and financially rewarding.

Apprenticeships in the UK offer a multitude of benefits for both individuals and employers.

For Individuals:
Earning While Learning: Apprentices receive a salary during their training, allowing them to gain work experience without incurring student debt (Moneyhelper).
Nationally Recognised Qualifications: Completing an apprenticeship provides credentials that are respected across industries, enhancing employability (MKCollege.ac.uk).
Practical Experience: Apprentices develop hands-on skills in real-world settings, making them valuable assets to employers (Apprenticeships.gov.uk).
Career Advancement: Many apprentices secure permanent positions post-training, with opportunities for further education and career progression (MKCollege.ac.uk).

For Employers:
Cost-Effective Recruitment: Apprenticeships can reduce hiring expenses by developing talent internally (FDMGroup.com).
Enhanced Employee Retention: Investing in apprenticeships often leads to higher staff loyalty and job satisfaction (Apprenticeships.gov.uk).
Addressing Skill Shortages: Tailored training ensures employees possess skills aligned with business needs (FDMGroup.com).
Diversity and Inclusion: Apprenticeships promote a varied workforce, enriching company culture and perspectives (Apprenticeships.gov.uk).

Overall, apprenticeships serve as a strategic approach to workforce development, benefiting both the apprentice and the employer.

Why Learn with Fareport Training?

Established in 1983, we’ve been helping people & businesses grow for over 40 years.

40+ Years’ Experience

Ranked in the top 25% of training providers inspected in England by Ofsted. Trusted by employers, councils & learners alike for over 40 years.

Expert Trainers

Our trainers are highly experienced professionals who bring real subject-based knowledge & skills to every session.

Career Support

We don’t just train you – with some of our courses we help you find work with CV support, interview coaching, and employer connections.

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