What Does a Data Analyst Do?

Almost every modern industry now runs on data.

Businesses collect information constantly:

• Customer behaviour
• Website traffic
• Sales performance
• Healthcare statistics
• Financial trends
• Social media engagement

But raw information alone is useless unless someone can understand it.

That’s where data analysts come in.

A data analyst helps organisations collect, organise and interpret data so they can make better decisions.

In simple terms:

Data analysts turn information into insight.

And because modern businesses rely heavily on data, the role has become one of the fastest-growing STEM careers globally.

What Does a Data Analyst Actually Do Day-to-Day?

The exact role varies depending on industry, but most data analysts spend time:

• Collecting data
• Cleaning data
• Finding patterns
• Building reports
• Creating dashboards
• Explaining trends
• Supporting business decisions

Example:

A company might want to know:

• Why sales dropped
• Which marketing campaign performed best
• Why users leave a website
• Which products customers prefer

The data analyst investigates the numbers and helps answer those questions.

Common Tasks Data Analysts Do

Typical responsibilities include:

• Analysing spreadsheets and databases
• Creating charts and dashboards
• Spotting trends
• Writing reports
• Presenting findings
• Working with teams
• Using data tools and software

Important:

The job is often more about problem-solving than advanced maths.

Industries That Hire Data Analysts

One of the biggest advantages of data analysis is flexibility.

Data analysts work across:

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

Because data exists everywhere, analysts are needed almost everywhere too.

What Skills Do Data Analysts Need?

Data analysts combine technical and analytical thinking.

Common skills include:

• Problem-solving
• Critical thinking
• Attention to detail
• Communication
• Data visualisation
• Spreadsheet analysis

Popular tools:

• Excel
• SQL
• Power BI
• Tableau
• Python
• Google Analytics

Good News:

You do not need to master everything immediately to begin learning.

Is Data Analysis a STEM Career?

Yes.

Data analysis sits strongly within STEM because it combines:

• Mathematics
• Technology
• Statistics
• Systems thinking
• Problem-solving

It also overlaps heavily with:

• AI
• Business intelligence
• Machine learning
• Digital strategy

How Much Do Data Analysts Earn?

Typical UK salaries:

• Entry-level: £28,000–£38,000
• Mid-level: £40,000–£60,000
• Senior analysts: £70,000+

Some specialist areas like:

• Finance
• AI
• Data engineering
• Tech companies

Can pay significantly more.

Is Data Analysis a Good Career?

For many people, yes.

Advantages include:

• High demand
• Strong salary growth
• Remote work opportunities
• Transferable skills
• Career flexibility
• Growing future relevance

Challenges may include:

• Continuous learning
• Technical tools
• Working with large datasets
• Explaining complex information clearly

Can You Become a Data Analyst Without a Degree?

Increasingly, yes.

While some employers still prefer degrees, many now hire based on:

• Skills
• Certifications
• Portfolios
• Projects
• Experience

Common alternative routes:

• Online courses
• Bootcamps
• Certifications
• Self-learning
• Apprenticeships

This is especially common in tech-focused companies.

How To Become a Data Analyst

Step 1: Learn the Basics

Start with:

• Excel
• Data visualisation
• Basic statistics

Step 2: Learn SQL

SQL is widely used for working with databases.

Step 3: Build Projects

Create:

• Dashboards
• Reports
• Portfolio projects

Step 4: Learn a Visualisation Tool

Examples:

• Power BI
• Tableau

Step 5: Apply for Entry-Level Roles

Including:

• Junior analyst
• Reporting assistant
• Data administrator

What Subjects Help With Data Analysis?

Useful subjects include:

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

But people also enter data careers from non-traditional backgrounds.

Remote Data Analyst Careers

Data analysis is one of the strongest remote-friendly STEM careers.

Many analysts work:

• Fully remote
• Hybrid
• Freelance

This is because much of the work is computer-based and collaborative online.

Common Misconceptions About Data Analysts

Myth:

“You need to be a maths genius.”

Reality:

Strong problem-solving matters more than being a mathematical prodigy.

Myth:

“It’s just spreadsheets.”

Reality:

Modern analysts often work with dashboards, business strategy and technology systems.

Myth:

“You need a computer science degree.”

Reality:

Many analysts are self-taught or career changers.

Best Types of People for Data Analysis

Data analysis often suits people who:

• Enjoy patterns
• Like solving problems
• Prefer logical thinking
• Enjoy technology
• Like structured work
• Are curious

It can be especially attractive for introverts and analytical thinkers.

Future Demand for Data Analysts

Data careers are expected to continue growing because businesses increasingly rely on:

• AI
• Automation
• Digital systems
• Predictive analytics
• Customer insights

This means data analysis is likely to remain highly relevant for years to come.

Final Thoughts

A data analyst helps organisations understand information and make smarter decisions.

It’s one of the most accessible modern STEM careers because it combines:

• Technology
• Business
• Problem-solving
• Communication

And importantly, there are now more entry routes than ever before.

You do not necessarily need:

• A computer science degree
• Years of experience
• Advanced coding knowledge

To begin learning.

In a world increasingly shaped by information and AI, data analysts play a major role in helping organisations understand what the numbers actually mean.