EY Job Opening for Data Analysis Internship – Python & Power BI Roles in India
Looking to kickstart your career in data analytics with a global leader? Ernst & Young (EY) is offering a 2025 Digital & Emerging Technologies Internship in India tailored for freshers passionate about Python, Power BI, and data-driven solutions. This EY internship provides a unique opportunity to work on real-world projects. Designed for 2024, 2025, and 2026 graduates, this fresher Internship combines hands-on technical training with exposure to cutting-edge tools, making it ideal for students seeking to enhance their analytics skills while aligning with one of the world’s most trusted professional services firms.

EY Internship 2025 Overview:
Company Name: Ernst & Young (EY)
Role: Entry-Level Data Analytics Intern
Location: India (Multiple Cities)
Experience Level: Freshers
Eligible Batch: 2024, 2025, 2026
Job Type: Internship
Salary/Stipend: ₹3 – ₹5 LPA (Expected)
EY Data Analytics Job Description:
As a Data Analytics Intern at EY, you’ll design Python-based solutions, create Power BI dashboards, and support ETL processes to drive actionable insights for clients. This role is critical to EY’s Consulting division, where your work will directly contribute to optimizing business strategies and fostering trust in global markets
Key Responsibilities in EY Data Analytics Internship for Freshers:
- Develop data analytics solutions using Python and Power BI.
 - Assist in ETL processes to clean, transform, and validate datasets.
 - Create interactive dashboards for data-driven decision-making.
 - Analyze trends and patterns to uncover actionable insights.
 - Collaborate with teams to understand data requirements and deliver solutions.
 - Document workflows and contribute to business development proposals.
 
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Required Data Analytics Skills for EY Summer Internship:
- Proficiency in Python for data manipulation and analysis.
 - Basic familiarity with Power BI (training provided).
 - Foundational SQL knowledge and relational database experience.
 - Strong analytical and problem-solving abilities.
 - Ability to communicate complex data concepts clearly.
 - Self-motivated with a collaborative mindset.
 
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Essential Qualifications Required for Data Science Internship at EY India:
Degrees: B.Tech/B.E. (Computer Science, IT), B.Sc/M.Sc (Data Science), MCA, or related fields.
Fresher graduates from the 2024, 2025, and 2026 batches are eligible to apply.
Internship Location: Across India (Multiple Cities)
Find the Latest Job & Internships alert for: Across India
Perks and Benefits of Ernst & Young Jobs:
- Hands-on experience with global clients and advanced tools.
 - Access to EY’s learning platforms and certifications.
 - Mentorship from industry experts.
 - Networking opportunities across 150+ countries.
 
Career Growth Opportunities:
- Potential advancement to roles like Associate Data Analyst or Consultant based on performance and requirement.
 - Specialization in Python scripting, Power BI visualization, or SQL database management.
 
Salary/Stipend in Data Analytics Internship at Ernst & Young (EY) India:
It’s a paid internship with an estimated Data Analytics Intern Salary/Stipend at Ernst & Young (EY) is around INR 3 to 5 Lakhs Per Annum (LPA).
Application Process for EY All India Job for Freshers:
To apply or for more information regarding the Data Analyst Internship for students, visit the EY vacancy page using the following link.
Application Deadline: Rolling basis (apply early).
Find More Jobs & Internships from: Ernst & Young (EY)
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FAQ:
Q: Is this E and Y internship open to remote work?
A: No, this is an onsite role in EY’s India offices.
Q: What is the Ernst & Young internship duration?
A: Typically 3–6 months, extendable based on performance.
Q: How should I prepare for the Ernst & Young Internship Interview?
A: Focus on Python basics, SQL queries, and problem-solving scenarios.
What Exactly Does EY Do?
Ernst & Young (EY) is a global leader in assurance, consulting, tax, and transaction services, operating in over 150 countries. In India, EY empowers businesses through data-driven strategies, digital transformation, and risk management solutions. Their Consulting division leverages emerging technologies to help clients navigate complex challenges, foster innovation, and build sustainable growth.



