How To Become a Data Analyst

Data analysts are becoming some of the most valuable professionals in the modern economy.

Almost every industry now relies on data:

• Technology
• Healthcare
• Finance
• Retail
• Sports
• Education
• Marketing
• Government

Businesses collect huge amounts of information every day.

The challenge is understanding what that information actually means.

That’s why data analysts are in demand.

They help organisations:

• Find trends
• Solve problems
• Improve decisions
• Predict outcomes
• Understand customers

The good news?

Data analysis is also one of the most accessible modern STEM careers.

You do not always need:

• A computer science degree
• Advanced maths
• Years of experience

To begin building a pathway into the industry.

Quick Answer: What Does a Data Analyst Do?

A data analyst collects, organises and interprets data to help businesses make better decisions.

Typical work includes:

• Analysing spreadsheets
• Building dashboards
• Finding patterns
• Creating reports
• Using tools like Excel, SQL and Power BI

Why So Many People Want To Become Data Analysts

Data analysis has exploded in popularity because it offers:

• Strong salary potential
• Remote work opportunities
• Flexible industries
• Transferable skills
• Future-proof demand

It also sits at the centre of:

• AI
• Business intelligence
• Digital transformation
• Automation

For many young people, it represents one of the clearest routes into high-paying STEM careers.

How Much Do Data Analysts Earn?

Average UK Salaries

Some sectors like:

• Finance
• AI
• Technology
• Consulting

Can pay significantly more.

Do You Need a Degree To Become a Data Analyst?

Not always.

This is one of the biggest reasons data analysis has become so attractive.

While some employers still prefer degrees, many increasingly care about:

• Skills
• Portfolios
• Certifications
• Projects
• Practical ability

People now enter data analysis through:

• Self-learning
• Online courses
• Bootcamps
• Apprenticeships
• Career changes

Step 1: Learn Excel Properly

Most beginners underestimate Excel.

But Excel remains one of the most important data tools in business.

Learn:

• Formulas
• Pivot tables
• Charts
• Data cleaning
• Filtering
• Lookups

Why It Matters:

Excel builds your foundation for understanding data.

Step 2: Learn SQL

SQL is one of the core skills used by data analysts.

It allows analysts to:

• Access databases
• Filter information
• Organise data
• Extract insights

Why SQL Matters:

Many entry-level analyst jobs specifically ask for SQL.

Good News:

You can learn the basics relatively quickly.

Step 3: Learn Data Visualisation

Businesses do not just want raw numbers.

They want understandable insights.

That’s why visualisation tools matter.

Popular Tools:

• Power BI
• Tableau
• Google Looker Studio

What You’ll Create:

• Dashboards
• Charts
• Reports
• KPI tracking systems

Step 4: Build Real Projects

This is where many beginners fail.

Watching tutorials alone is not enough.

You need evidence of practical ability.

Build Projects Like:

• Sales dashboards
• Spotify listening analysis
• Football statistics breakdowns
• Student survey analysis
• Website traffic reports

Why It Matters:

Projects become proof of skill.

Step 5: Learn Basic Data Thinking

Strong analysts do more than use software.

They ask:

• What problem are we solving?
• What patterns matter?
• What decisions can improve?

Data analysis is really about:

Turning information into decisions.

Step 6: Create a Portfolio

A portfolio helps employers trust your ability.

Include:

• Dashboards
• Case studies
• Data projects
• Visual reports
• Explanations of your process

Platforms:

• GitHub
• Notion
• Personal website
• LinkedIn

Step 7: Apply for Entry-Level Roles

You do not always need “Data Analyst” in the title immediately.

Good entry routes include:

• Reporting assistant
• Data administrator
• Junior analyst
• Operations analyst
• Marketing analyst
• Business support analyst

Best Certifications for Beginner Data Analysts

Popular Options:

• Google Data Analytics Certificate
• Microsoft Power BI Certification
• IBM Data Analyst Certificate
• SQL certifications
• Tableau certifications

These can strengthen credibility, especially without a degree.

Best Subjects for Future Data Analysts

Useful school and college subjects include:

• Maths
• Computer science
• Business
• Economics
• Physics
• Statistics

But people enter data analysis from many different backgrounds.

Can You Become a Remote Data Analyst?

Yes — and this is one of the biggest attractions of the career.

Many data analysts work:

• Fully remote
• Hybrid
• Freelance

This makes data analysis one of the strongest remote STEM careers available today.

Common Mistakes Beginners Make

Avoid:

• Trying to learn everything at once
• Spending months only watching videos
• Ignoring portfolios
• Avoiding applications until “perfect”
• Thinking you need elite coding skills

Focus on:

• Practical projects
• Consistency
• Real-world data
• Continuous improvement

Best Platforms To Learn Data Analysis

Useful Learning Resources:

• Coursera
• DataCamp
• Google Career Certificates
• Khan Academy
• YouTube tutorials
• Microsoft Learn

These platforms are popular because they combine:

• Structured learning
• Flexibility
• Portfolio-building opportunities

Is Data Analysis Worth It in 2026?

For many people, yes.

Data sits at the centre of:

• AI
• Business strategy
• Digital systems
• Predictive technology
• Automation

As industries become more data-driven, analysts are likely to remain highly valuable.

This is especially true for people who combine:

• Technical skills
• Communication
• Problem-solving
• Business understanding

Career Progression Beyond Data Analyst

Many analysts later move into:

• Data science
• Machine learning
• AI
• Product analytics
• Business intelligence
• Consulting
• Tech leadership

This means data analysis can become a long-term STEM career pathway, not just an entry-level role.

Beginner Roadmap Summary

Learn:

Excel → SQL → Data Visualisation

Build:

Projects + Portfolio

Improve:

Problem-solving + Communication

Apply:

Junior data roles

Grow:

Specialise over time

Final Thoughts

Data analysis has become one of the most accessible and valuable STEM careers in the modern economy.

You do not need to be a maths genius or senior programmer to start.

What matters more is:

• Curiosity
• Consistency
• Problem-solving
• Practical skills

For people interested in:

• Technology
• Business
• Remote work
• AI
• Future-proof careers

Data analysis can be one of the smartest career paths to explore.

And because demand continues growing across industries, this field is likely to remain highly relevant for years to come.

Recommended Resources for Future Data Analysts

Beginner Learning Platforms

• Google Career Certificates
• DataCamp
• Coursera
• Microsoft Learn

Useful Tools

• Excel
• Power BI
• Tableau
• SQL
• ChatGPT
• Notion

Portfolio Ideas

• Sales dashboards
• Sports analytics
• Marketing data reports
• Student survey analysis