What Is a Data Analyst? Role, Skills and Career Path

Last updated: 21 September 2026 · By the Asuraa Team

What is a data analyst?

A data analyst is a person who collects, cleans and studies data so that a business can answer a specific question and decide what to do. Coursera's career guide says a data analyst "gathers, cleans, and studies data sets to help solve problems."

If you are asking what is a data analyst in plain terms, think of the person who turns a large spreadsheet or database into a clear answer, such as which products sold well last month and why. The answer usually arrives as a chart, a dashboard or a short report.

What does a data analyst do day to day?

A data analyst spends the day moving through a repeatable cycle from question to recommendation. Syracuse University's iSchool lists the steps as gathering data from sources such as databases and APIs, cleaning it, applying statistical techniques, presenting findings with visualisation tools, and building reports and dashboards for stakeholders.

Here is the cycle as a checklist.

1. Identify the question. Agree with the person asking what decision the analysis should support.
2. Collect the data. Pull it from databases, files or other systems.
3. Clean it. Fix missing values, duplicates and inconsistent formats.
4. Analyse it. Look for trends, comparisons and causes.
5. Present it. Turn the result into a chart, dashboard or short summary a non-specialist can act on.

Cleaning is often the longest step, so do not be surprised if a project feels more like tidying than charting.

What are the four kinds of data analysis?

Coursera's guide says analysis can be descriptive, diagnostic, predictive or prescriptive. The table pairs each with the question it answers, using our own plain-language gloss.

Most entry-level analyst work sits in the first two rows. The last two lean on more advanced statistics and modelling.

What does a real analyst task look like? (an illustration)

The example below is invented to show the shape of the work, not a real company case. A retail team asks why online orders fell in the second week of the month.

The analyst first defines "fell" as orders compared with the previous week, not a single day. Next comes an SQL query that pulls orders by day, city and product category, and a check for duplicates or a tracking outage.

The analyst finds that the drop sits in one category in one city, where a popular item was out of stock. The final output is a one-page summary with a chart and a recommendation to restock and to add a stock alert.

Notice that the technical steps are small. The value comes from choosing the right question, checking the data, and saying the answer clearly.

Which tools do data analysts use?

Data analysts most often use spreadsheets, SQL, a visualisation tool and sometimes a programming language. Coursera's guide names Microsoft Excel, Google Sheets, SQL, Tableau, Python or R, SAS, Microsoft Power BI and Jupyter Notebooks.

Naukri's data analyst job description guide, published 19 June 2026, lists advanced Excel, Tableau and Power BI dashboards, data cleaning and Python libraries such as Pandas as valuable skills. It also says analysts should present findings to management in language they understand.

Our companion post on data analyst skills goes through the full list and an order to learn them in.

How is a data analyst different from a data scientist or business analyst?

A data analyst mainly interprets past data, a data scientist mainly predicts future outcomes, and a business analyst applies findings to improve business processes. That is how Syracuse's iSchool separates the three roles.

In practice, job titles overlap, so read the duties in each posting and not just the title. We compare the first two in data analyst vs data scientist, and cover the third in what is a business analyst.

Do you need a degree to become a data analyst?

Sources disagree, so check the postings you want. Coursera lists a bachelor's degree in mathematics, statistics, computer science or finance, or a professional certificate for entry-level roles. Naukri Campus says a degree is often preferred but not mandatory, and that online certifications and boot camps can build the foundation.

Whichever route you take, employers can only judge what they can see. Projects, an internship or a dashboard you can walk through carry more weight than a list of courses.

Is a data analyst career right for you?

It suits people who like finding answers in messy information and explaining them simply. Use these prompts as a rough self-check, which is our editorial framework and not a test.

1. Do you enjoy puzzles with clear questions? Analyst work starts from a business question, not from open-ended research.
2. Are you patient with detail? Cleaning data and checking numbers is a large share of the job.
3. Can you explain a result to someone who does not like numbers? Communication is part of the role.
4. Are you happy to keep learning tools? The exact tools change between employers.

If you answered yes to most, the data analyst roadmap for India lays out a step-by-step plan.

What do most guides on what a data analyst is get wrong?

Many definitions are accurate but leave out what makes the job easy or hard to picture. These are the common gaps.

• They list tools and skip the question. A tool list does not show that the job starts from a business decision.
• They hide how much cleaning there is. Preparing data is a large part of the work, and it rarely appears in glossy job ads.
• They treat the title as fixed. One company's analyst may build dashboards all day and another's may write queries, so read the duties.
• They lead with pay. Salary depends on city, employer and skills, and many quoted figures come from the US, so we do not give numbers here.

FAQ

What does a data analyst do?

A data analyst collects data, cleans it, analyses it for trends and causes, and presents the findings as charts, dashboards or reports. The aim is to help a team answer a business question and decide what to do. SQL, Excel and a BI tool are common.

Is data analyst a good career for freshers in India?

It is a common entry point into data work, and Naukri Campus lays out a route for freshers through skills, an internship and a portfolio. Whether it suits you depends on your interests and skills. Check current openings and try a small project before you commit.

Do data analysts need coding?

Usually some. SQL is widely listed and Python or R appears often, though Excel and BI tools cover much entry-level work, and Coursera names SQL, R and Python among analyst tools. Check each posting for its requirements.

What skills does a data analyst need?

The sources point to SQL, Excel, a visualisation tool such as Power BI or Tableau, statistics, data cleaning and often Python or R. Communication and problem-solving matter just as much. Start with Excel and SQL, then add a BI tool and Python.

What is the difference between a data analyst and a data scientist?

Syracuse's iSchool says analysts interpret past data to find trends, while data scientists focus on predicting future outcomes. Data scientists usually need deeper statistics and machine learning. Job titles overlap, so read the duties in each posting to see what the work involves.

Can I become a data analyst without a degree?

Sometimes. Naukri Campus says a degree is often preferred but not mandatory, and that certifications and boot camps can help, while Coursera lists a bachelor's degree or a professional certificate. Employers set their own rules, so read each posting.

Final thoughts

A data analyst turns data into answers that people can act on. The job rewards curiosity, care with detail and clear explanation more than any single tool.

If you want a plan, our data analyst roadmap for India is the next read. To see how your resume reads against an analyst posting, try the AI resume reviewer on asuraa.in, and browse openings on the jobs page.