How to become a data analyst
Role guide and learning paths
Almost every business needs specialists who can interpret and explain large, complex data sets. That is precisely the role that data analysts play and the reason why they are one of the most in-demand positions across a range of industries.
- Data analysts take data and turn it into actionable insights.
- The emergence of AI means businesses have more data available than ever.
- Specialist data certifications and qualifications are available to help teams upskill.
- Analysts play a crucial role in helping businesses strategically plan for the future.
What is the role of a data analyst?
Bridging the divide between business strategy and raw data, data analysts help organisations make informed decisions. Instead of relying on the gut feeling of your team, data analysts collect, process and analyse data in line with the goals of your business.
Data analysts also provide vital support in spotting opportunities that can allow your organisation to stay competitive. Not to mention their role as risk identifiers. Effective data analysis can proactively spot risks before they become major problems.
Data analysts are vital to your business because they make it easy to optimise your operations. After all, they are the wizards who have access to the data and the ability to interpret to find where you can save time and money.
The path to becoming a data analyst
If you're looking to become a data analyst, or want to upskill a member of your team to become an analyst, there are a number of options available.
Stage one: Build up your foundational knowledge.
This can include studying basic statistics, data structures, and critical thinking.
Stage two: Learn the core technical skills required to be a data analyst.
This should include mastering SQL querying, learning data visualisation, and studying Python. You should also make sure that you know how to use BI platforms and AI analytics.
Stage three: Get some practical experience.
This step is all about building up your portfolio. You can do this by analysing public data sets and showing your reasoning.
Stage four: Get certified.
There is a wide range of data analyst certification training that can help show that you have the experience, skills and dedication to be a successful data analyst. Some of the most popular types of data analyst training qualifications are our industry-recognised Databricks certifications. Offered by experts, these courses go into great depth on cloud analytics, with a focus on job-ready practical training.
Top skills that data analysts need
Here are some of the most important skills for data analysts to have under their belt:
Technical skills
Successful data analysts need skills including:
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SQL database querying
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Data visualisation
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spreadsheet proficiency
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Python basics
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Data cleaning
Business skills
Data analysts also need to have strong personal and commercial skills, including:
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Problem solving
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Stakeholder communication
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Data storytelling
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Commercial awareness
Future-Focused skills
Lastly, data analysts will need to keep up with the latest trends in the field and in technology generally to stay relevant. Examples of this are:
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Using AI
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Data governance changes
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New technologies
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Continued learning
Explore our data analyst courses and apprenticeships to start upskilling today.
Data analyst courses and training programmes
Data Analyst Level 4 Apprenticeship
Course overview
Data analysis is central to evidence-based problem-solving. The Data Analyst Level 4 programme equips organisations with critical skills for effective data analysis, applying statistics and modelling to improve predictions and unlock valuable business insights.
UK Businesses can fund this programme for new and existing employees through the growth and skills levy.
Top courses for data analysts
Build data analysis skills in your organisation
Data analyst frequently asked questions
Can I train to be a data analyst with no experience?
Yes, you can train as a data analyst with no experience. Just take one of the industry-recognised courses or talk to your employer about a data apprenticeship programme.
What is the salary of a data analyst in 2026?
A data analyst salary ranges from approximately £30,000 to £50,000 a year, depending on experience.
What does career progression look like for a data analyst?
Career progression involves entry and junior roles, such as junior data analysts. Then, midweight to senior roles, which may focus into industry specialisms such as finance or more complex data sets. Experiences analysts may then move on to more senior roles, or branch off into other areas of expertise, such as data management or governance.
What’s the difference between a data analyst and a data engineer?
Data analysts interpret and visualise data. Data engineers build and maintain the systems that deliver the data.
What tools do data analysts use?
Data analysts use a range of tools, including SQL, Python, Tableau, and Power BI.
Are data analysts in demand?
Yes, there is a strong demand for data analysts in 2026 and beyond. This is because there is a great need for those (data analysts) who can collect, analyse and parse data insights.
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