Data Analyst

Who is a Data Analyst?

A Data Analyst is a professional who collects, processes, and interprets data to help organisations make informed decisions. They use tools like Excel, SQL, and visualisation software to uncover trends and insights.

Overview of Data Analyst Job Description

Analyse and interpret complex data sets to identify trends and patterns.

Prepare reports, dashboards, and visualisations to support business decisions.

Work closely with teams to understand data needs and deliver actionable insights.

Ensure data accuracy, integrity, and proper organisation for analysis.

Use tools like SQL, Excel, Python, or Power BI for data analysis tasks.

Skills Needed to Become a Data Analyst

* Analytical Skills: Ability to interpret data and draw meaningful conclusions.

* Technical Skills: Proficiency in tools like Excel, SQL, Python, or R.

* Data Visualisation: Expertise in creating charts and dashboards using tools like Power BI or Tableau.

* Communication Skills: Clearly presenting data insights to non-technical stakeholders.

* Problem-Solving: Identifying business challenges and solving them through data-driven decisions.

Understanding the Educational Pathway to Become a Data Analyst

Class 12 (Any Stream with Math/Statistics)

Online Bachelor’s Degree in Data Science

Online Master’s Degree in Business Analytics

Take Internship

Earn Online Certification in Data Analytics (like Google Data Analytics)

Start Career as a Data Analyst

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Salary Range of a Data Analyst in India

According to an Ambition Box and Glassdoor report, the salary of a Data Analyst in India includes:

Entry-Level: 3 to 6 LPA

Mid-Level: 6 to 12 LPA

Senior-Level: 7 to 15 LPA

Entry Level

₹3 to 6 LPA

Mid Level

₹6 to 12 LPA

Senior Level

₹7 to 15 LPA

Top Industries and Recruiters Hiring Data Analysts in India

* Industries: Tech, Finance, Healthcare, and Retail/E-Commerce

* Recruiters: Meta, Amazon, Apple, Microsoft, Accenture

How to Prepare a Student to Become a Data Analyst?

Learn data analysis tools like Excel and SQL

Gain proficiency in Python or R programming language

Understand data visualisation using Power BI or Tableau

Practice real-world datasets and analytical case studies

Study statistics, probability, and data interpretation concepts

Build a strong resume highlighting skills and achievements

Create an impactful LinkedIn profile showcasing data projects

Prepare with mock interviews and problem-solving exercises

Why Choose a Career as a Data Analyst?

High Industry Demand

Strong Salary Prospects

Data-Driven Impact

Versatile Skill Application

Opportunities for Growth

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