Data Analyst Level 4

A Data Analyst apprenticeship can be an excellent choice if you’re looking to build a career in the rapidly growing field of data science and analytics. Data analysts are in high demand across a range of industries, from technology to finance to healthcare. Uniquely, we are including the HTQ Level 4 Diploma: Data Analyst as part of this apprenticeship.

Course Materials: Data Analyst Level 4 Apprenticeship (Inc HTQ) Overview

Duration: 15-18 months Course Fee Information

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.

We are including the HTQ Level 4 Diploma: Data Analyst as part of this apprenticeship.
This brings benefits to the apprentices and employers:

Recognised, high quality qualification
Enhanced learning & skills development
Practical experience alongside the apprenticeship

Duration:	15-18 months
Standard and Level:	Data Analyst Level 4 Standard and Level 4 Diploma: Data Analyst HTQ
Entry requirements:	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. Candidates must be over 18 (if HTQ included). 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.
Cost:	Fully funded through the Apprenticeship Levy or 95% government-funded for eligible employers, with minimal contribution required.

Knowledge

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

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

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.

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

Simon Gentile

Trainer

Simon joined Fareport Training in November 2024 as an experienced trainer, coach and mentor. He has been working with level 3 and level 4 Data Analyst apprenticeship learners for around 5 years.

Prior to this, Simon has over 10 years practical experience working in Data Analytics in corporations and SMEs.

Simon is currently studying towards his CAVA assessor qualification.

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Why choose to learn with Fareport Training?

Fareport Training was established in 1981 in order to offer young people a route into work through work based training. In 2014 the business was purchased with support from entrepreneur Theo Paphitis by Natalie Cahill and Marinos Paphitis. Since then we have been building on Fareport’s excellent reputation for high quality training and delivering training and apprenticeships across England. We are proud to offer:

Expert-Led Instruction: Gain insights from industry leaders and seasoned professionals.
Cutting-Edge Curriculum: Stay ahead with the latest trends, tools, and techniques.
Flexible Learning Options: Balance your education with your professional and personal life.

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Customer Testimonials

Real experiences, real success—hear from our learners and employers about how our training programmes have made a difference.

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I enjoyed the contextualisation sessions that helped apply learning. The option for extra support on study days was valuable. My tutor was supportive, and I appreciated the face-to-face and remote assistance throughout the course.

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The most enjoyable part was completing practical tasks related to my job. It helped with EPA prep and reflection on my learning at ALDI. The training layout was clear, and the Principles of Buying applied well to my role.

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This course improved my skills and decision-making. The support from my trainer, Emma, helped me stay focused, organized, and balanced. Her guidance reshaped my perspectives, and I’m grateful for her hard work and dedication.

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This qualification helped me learn on the job, gaining new skills and exploring career options. My apprenticeship led to a full-time Administration Officer role at No Limits, benefiting both me and the organisation.

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My apprenticeship with Fareport was great, especially sharing the experience with a colleague. Regular feedback, meetings, and Onefile helped my development. Fareport’s support and training materials made a huge difference to my skills and confidence.