Data Analyst

Build the advanced data capability needed to drive insight-led decision-making

As organisations generate increasing volumes of data, the ability to interpret and act on that data is critical to maintaining a competitive edge. The Data Analyst Level 4 Apprenticeship equips employees with the technical skills and analytical thinking required to transform data into meaningful insights that support strategic decision-making.

Designed for employees progressing into analytical roles, this programme develops expertise across data analysis, programming, and visualisation. Learners gain hands-on experience with industry-standard tools and techniques, enabling them to manage data projects, build data pipelines, and communicate insights effectively across the organisation.

Build advanced analytical skills across your organisation

Unlike entry-level data training, this programme focuses on developing deeper analytical capability and technical proficiency. Through structured learning and practical workplace application, employees learn to work with complex datasets, apply statistical and machine learning techniques, and generate insights that inform business strategy.

By the end of the programme, learners are equipped to access and manipulate data using SQL, programme in Python for analysis and visualisation, and deliver clear, actionable insights to both technical and non-technical stakeholders.

Programme overview

Developing technical data expertise

Understand core data analysis concepts and statistical techniques

Access, manipulate and analyse data using SQL

Use Python to clean, transform and visualise datasets

Develop and maintain data pipelines and ETL processes

Applying advanced analytics to business challenges

Apply machine learning techniques for prediction and classification

Manage data projects from planning through to delivery

Communicate insights clearly to a range of stakeholders

Embed data governance, ethics, and data quality best practices

Course funding

Funding band: £15,000

1. Data Analyst Apprentice

Build foundational skills in data analytics, SQL, and Python while gaining hands-on experience.

2. Junior Data Analyst

Support business decisions by collecting, cleaning, and interpreting data, and creating reports.

3. Data Analyst

Develop advanced analytics skills, work with large datasets, and generate insights for business improvement.

4. Senior Data Analyst / BI Analyst

Lead data projects, implement machine learning models, and drive strategic decision-making.

5. Data Engineer / Data Scientist

Specialise in data infrastructure, automation, and predictive analytics using AI and machine learning.

6. Head of Data / Analytics Manager

Oversee data strategy, manage teams, and leverage analytics to influence high-level business decisions.

Programme overview

Developing technical data expertise

Understand core data analysis concepts and statistical techniques

Access, manipulate and analyse data using SQL

Use Python to clean, transform and visualise datasets

Develop and maintain data pipelines and ETL processes

Applying advanced analytics to business challenges

Apply machine learning techniques for prediction and classification

Manage data projects from planning through to delivery

Communicate insights clearly to a range of stakeholders

Embed data governance, ethics, and data quality best practices

Register interest

Our impact, their words

We help organisations unlock the power of the Growth and Skills Levy. Hear what they have to say.

I wholeheartedly endorse Apprentify. They listen to us and make bespoke content according to our needs. To support development, we utilise apprenticeships massively for existing colleagues.

Gemma Palmer – Head of Early Careers & Apprenticeships

For us, Apprentify were a really good fit because they are able to offer a strong programme but also the benefit of additional learning, which gives that real stretch and challenge for individuals.

Katie Rankin – Emerging Talent & Careers Manager

Apprentify are nimble enough to be able to tailor the cohorts to us and they are so responsive. The level of support feels so personal, and it is testament to a process that works so well.

Natalie Mitchell – Talent Acquisition Manager

Partnering with Apprentify, we were able to create a programme that not only met the standard but also incorporated what we were trying to achieve as a business.

Paul Callaghan – Apprenticeship Business Partner

We chose Apprentify after hearing glowing recommendations from industry peers and seeing their Outstanding Ofsted rating. From the start, they’ve taken the time to understand our business needs and what success looks like for us, creating a partnership that feels natural, open and honest. The impact on our apprentices has been huge. They benefit from a seamless, structured programme with clear delivery schedules and instructor-led sessions that keep them on track for timely achievement. A special mention to our coach, Mike Leggett, who has been vital to the success of this programme. What sets Apprentify apart is their flexibility and customer-first approach. Their Customer Success Team is our one-stop shop, managing everything from enrolment to compliance and learner progress. They’re great people who work hard to ensure we have a fantastic experience and continually enhance the programme to meet both learner and business needs.

Pete Monks – Future Careers Specialist

Apprentify have a proven track record. The key differentiator was that they understood the brief very clearly and what we were trying to achieve. We’re very happy with how much we’ve progressed.

Simon Gunn – Commercial Director

Apprentify really engage with our business and try to get under the skin of what we do. We work with a few different providers, but with Apprentify we’re able to create really strong partnerships.

Tom Russell – Head of People Capability

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Data Analyst

Build the advanced data capability needed to drive insight-led decision-making

Build advanced analytical skills across your organisation

Programme overview

Course funding

Programme overview

Data Technician Career Path

1. Data Analyst Apprentice

2. Junior Data Analyst

3. Data Analyst

4. Senior Data Analyst / BI Analyst

5. Data Engineer / Data Scientist

6. Head of Data / Analytics Manager

Register interest

Our impact, their words

Browse other courses

AI Leadership Unit – AI adoption, procurement & governance

Fundraiser

PR and Communications

Multi-Channel Marketer

Our accreditations