What Does a Data Analyst Actually Do?

With organisations generating and storing unprecedented amounts of information, data analytics has become one of the most critical fields of the digital age. Whether it’s e-commerce companies studying buying patterns or hospitals improving patient outcomes—data analysts are at the heart of decision-making.

According to recent projections, the global big data and business analytics market is expected to grow by $1.51 trillion between 2025 and 2037, at a CAGR of 15.2%. This growth is driving demand for data-savvy professionals who can help businesses translate raw numbers into real-world insights.

But what does a data analyst actually do?

Role of a Data Analyst

A data analyst works with large datasets to extract insights, solve problems, and support business goals. Their responsibilities include:

  • Collecting data from various sources (sales, social media, surveys, etc.)
  • Cleaning and preparing data to remove inconsistencies
  • Analysing trends using tools like Excel, Python, R, or SQL
  • Visualising insights through dashboards and charts using tools like Power BI or Tableau
  • Communicating findings to stakeholders to inform business decisions

In short, a data analyst turns “What happened?” into “Why it happened” and “What should we do next?”

The Role of Cloud Computing in Data Analytics

As data volumes grow exponentially, storing and analysing it on local machines is no longer practical. That’s where cloud computing comes in.

By 2025, 50% of global data—over 200 zettabytes—will be stored in the cloud. Data analysts must be familiar with cloud platforms like AWS, Azure, or Google Cloud to access, process, and visualise cloud-hosted data.

The benefits of cloud computing for data analysts include:

  • Scalable storage for big data
  • Faster processing through cloud computing clusters
  • Remote access to databases and analytics tools
  • Security and compliance for sensitive information
  • Integration with machine learning tools for advanced analysis

Why You Should Learn Data Analytics Now

Data analysts are now essential in sectors like finance, healthcare, retail, and even sports. Entry-level roles such as Junior Data Analyst, Business Intelligence Associate, and Research Analyst offer strong career growth, especially if you’re comfortable with both analytics tools and cloud technologies.

Learn Data Analytics with FutureSkills Prime

FutureSkills Prime offers a comprehensive data analytics course for beginners and early-career professionals. Their pathway is:

  • Curated by top industry experts
  • Backed by Government of India and NASSCOM
  • Aligned with in-demand tools (Excel, SQL, Python, Power BI)
  • Flexible and accessible with real-world projects and certification

Whether you want to pivot careers or strengthen your resume, FutureSkills Prime gives you the skills to thrive in the age of data.

FAQs

Q1. What’s the difference between a data analyst and data scientist?

Data analysts focus on interpreting historical data. Data scientists build predictive models and use advanced statistical techniques.

Q2. Do I need to know programming to become a data analyst?

Basic knowledge of SQL and Python is helpful but not mandatory to start. Many tools have drag-and-drop features.

Q3. How is cloud computing related to data analytics?

Cloud platforms store and process large datasets efficiently, making them essential for big data analytics tasks.

Q4. What industries hire data analysts?

Finance, healthcare, e-commerce, sports, education, and public policy are major employers of data analysts.

Q5. How does FutureSkills Prime help me become a data analyst?

It offers structured, beginner-friendly data analytics courses with industry certification and hands-on learning.