EY Data and Analytics Internship Hiring | Complete Internship & Career Guide

An EY Data and Analytics Internship is a strong entry point for fresh graduates who want hands-on exposure to data analysis, business intelligence, and analytics-driven decision making inside a global professional services firm. This internship is designed to build real-world skills, industry context, and professional discipline while working on live datasets and client-oriented problems. With opportunities in Bengaluru and Chennai, this role suits candidates aiming to start long-term careers in analytics, consulting, and technology-enabled business roles.

Company Snapshot

(Ernst & Young) is one of the world’s leading professional services organizations, operating across assurance, consulting, tax, strategy, and transactions. EY’s Data & Analytics teams help organizations transform raw data into insights that drive growth, risk management, and operational efficiency. Interns gain exposure to enterprise-grade analytics practices used by global clients.

Role Overview – Data and Analytics Intern

The Data and Analytics Intern role focuses on learning core analytics concepts while supporting ongoing projects. Interns work with structured data, analytical tools, and business teams to understand how data informs decisions across industries.

Key role details

  • Position: Data and Analytics – Intern
  • Qualification: Bachelor’s Degree
  • Experience: Freshers
  • Employment Type: Internship
  • Location: Bengaluru / Chennai
  • Domain: Data Analytics / Business Intelligence / Consulting Support

Purpose of the Internship

The internship is structured to bridge the gap between academic learning and industry practice. Interns are trained to think analytically, communicate insights clearly, and follow professional standards while contributing meaningfully to analytics initiatives.

Key Responsibilities

  • Assist in collecting, cleaning, and validating datasets
  • Perform basic data analysis to identify trends and patterns
  • Support dashboarding, reporting, and visualization tasks
  • Work with senior analysts on analytics deliverables
  • Document findings and present insights clearly
  • Learn data governance, quality checks, and compliance standards
  • Collaborate with cross-functional teams on analytics use cases

Skills and Knowledge EY Looks For

  • Strong foundation in logical thinking and quantitative skills
  • Basic understanding of data analysis concepts
  • Familiarity with tools like Excel, SQL, Power BI, or Python (any one is sufficient)
  • Attention to detail and structured problem-solving
  • Clear written and verbal communication
  • Willingness to learn and adapt in a professional environment

Prior industry experience is not required; fundamentals and learning mindset matter most.

Who Should Apply

  • Final-year or recent graduates interested in data and analytics
  • Candidates aiming for careers in analytics, consulting, finance, or technology
  • Students with academic projects related to data, statistics, or business analysis
  • Individuals comfortable working with numbers, logic, and insights

This internship is ideal for candidates seeking practical exposure and resume credibility.

Learning and Exposure

Interns benefit from:

  • Exposure to real business datasets and analytics problems
  • Mentorship from experienced analytics professionals
  • Understanding of how analytics supports business strategy
  • Familiarity with enterprise tools and professional workflows
  • Experience working in structured, client-oriented environments

This learning foundation significantly improves employability in analytics roles.

Career Growth After the Internship

Successful interns can move into roles such as:

  • Data Analyst
  • Business Analyst
  • Analytics Consultant
  • Reporting or BI Analyst
  • Technology or Risk Analytics Associate

EY internship experience is highly valued across consulting firms, MNCs, fintechs, and analytics teams.

Why This Internship Is High-Value

  • Strong brand credibility for early careers
  • Practical analytics exposure beyond academic theory
  • Builds professional discipline and communication skills
  • Improves chances of full-time analytics or consulting roles
  • Skills remain relevant across industries and job markets

Selection Process

  • Online application
  • Resume shortlisting
  • Interview or assessment focusing on analytics basics and communication
  • Final selection based on aptitude and learning potential

Candidates who clearly explain their thinking and show curiosity perform best.

How to Apply

The EY Data and Analytics Internship is a strong starting point for candidates who want to build data-driven careers with long-term growth, global exposure, and professional credibility.

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