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감사부문 Data Analytics IT Specialist Intern

EY

Seoul, South KoreaOn Site

Original Job Summary

About the 감사부문 Data Analytics IT Specialist Intern Role

EY invites talented candidates to join their team on a 6-month internship. Work includes accounting data cleansing, financial statement disclosure support, and developing AI-powered audit support programs.

Responsibilities

The intern will:

  • Analyze and validate financial statement data
  • Collect and cleanse corporate accounting and financial data
  • Develop audit support programs
  • Prepare XBRL formatted disclosure documents and manage related materials
  • Utilize Excel and custom disclosure support tools

Qualifications & Preferences

  • Current or graduated from a domestic/international 4-year university (prioritizing Computer Science, Statistics, or Accounting)
  • Proficiency in Python, R, SQL, VBA or similar data processing languages
  • Understanding of AI-based audit support program development
  • Basic understanding of financial statements and XBRL
  • Familiarity with MS Office
  • Preference for candidates with audit firm experience

Internship Details

The internship is for 6 months with potential minor adjustments to work hours (standard: 09:00-18:00 or adjusted: 10:00-19:00). Location is in Yeouido, Seoul. Recruitment continues until October 12, 2025.

Application Process

Submit your completed EY application form as a PDF via the application portal. Shortlisted candidates will be invited for interviews with the applicable interview formats.

Key skills/competency

  • Data Analysis
  • Audit Support
  • AI
  • Python
  • SQL
  • Excel
  • XBRL
  • Financial Statements
  • Data Cleansing
  • MS Office

How to Get Hired at EY

🎯 Tips for Getting Hired

  • Research EY's culture: Study their mission, values, and recent initiatives.
  • Customize your resume: Highlight analytics, Python, and audit skills.
  • Prepare for interviews: Review technical data analysis and accounting basics.
  • Showcase projects: Demonstrate AI or data tool experience.

📝 Interview Preparation Advice

Technical Preparation

Review Python, R, and SQL basics.
Practice data cleansing techniques in Excel.
Study XBRL format preparation.
Familiarize with AI audit tools.

Behavioral Questions

Describe team project challenges.
Explain problem-solving in data analysis.
Discuss time management during deadlines.
Share experiences with audit projects.