EY hiring Data Analytics 2024 | Apply Now

EY hiring Data Analytics 2024 | Overview

Staff – Data Analytics at EY

Location: Trivandrum, India
Salary: Competitive
Date Posted: July 30, 2024
Requisition ID: 1511602

About EY:

At EY, we are dedicated to building a career as unique as you are, leveraging global scale, support, an inclusive culture, and cutting-edge technology. Our aim is to foster an environment where your individual voice and perspective drive not only your career but also contribute to making EY even better. Join us to create an exceptional experience for yourself and a better working world for everyone.

Role Overview:

We are seeking a motivated individual to join our EY Assurance team as a Staff in Data Analytics. In this role, you will play a crucial part in analyzing complex data sets and supporting various internal and external stakeholders. Your work will involve ensuring the quality and productivity of deliverables, contributing to audit-related analytics, and supporting global assurance practices.

Key Responsibilities:

1. Data Analysis and Strategy:
   • Analyze large volumes of data to derive actionable insights and strategies for assurance analytical work.
   • Develop and define clear strategies based on your data analysis to support audit-related tasks.
2. Collaboration and Teamwork:
   • Work effectively as a team player in a multicultural environment.
   • Coordinate with the Global Assurance team to conceptualize ideas, strategies, and frameworks.
3. Data Extraction and Interpretation:
   • Support the extraction of data from multiple sources, understanding the data structure requirements.
   • Apply industry knowledge to interpret data accurately and suggest improvements to enhance performance.
4. Reporting and Quality Assurance:
   • Review deliverables to ensure they meet quality and productivity targets.
   • Correlate raw data with audit-related analytics to ensure accuracy and relevance.
5. Adaptability and Learning:
   • Be open to working across different time zones and travel as required.
   • Demonstrate a willingness to work under tight deadlines while maintaining high-quality output.

Qualifications:

• Educational Requirements:
  • Graduates with 0-3 years of relevant experience are preferred.
  • Bachelor’s degree in Engineering (B.E. or B.Tech) or any other graduate degree, or Master’s degrees such as M.Com, B.Com, B.Sc (Computer Science), or M.Sc (Computer Science) with a focus on analytics or data analysis.
• Technical Skills:
  • Basic knowledge of MS Excel and SQL; familiarity with business intelligence tools such as Tableau, SAS, or Spotfire is advantageous.
  • Understanding of data analysis and reporting is essential.

Skills and Attributes for Success:

• Communication and Presentation:
  • Excellent communication and presentation skills to effectively convey insights and collaborate with team members and stakeholders.
• Problem-Solving Abilities:
  • Strong problem-solving skills with the ability to quickly learn and adapt to new challenges.
  • High standard of integrity and confidentiality, especially when handling sensitive data.
• Time Management:
  • Ability to manage multiple tasks and deliver high-quality work under tight deadlines.
• Cultural Adaptability:
  • Comfort working in a diverse, global team and adapting to different time zones and working environments.

What We Offer:

At EY Global Delivery Services (GDS), you’ll be part of a dynamic and global delivery network. We operate across six locations worldwide, working with teams from all EY service lines and sectors. As part of GDS, you will have the opportunity to:

• Engage in continuous learning to develop skills for navigating future challenges.
• Define success on your terms with the flexibility to make a meaningful impact.
• Receive transformative leadership coaching to become an effective leader.
• Thrive in a diverse and inclusive culture that values your unique perspective.

How to Apply:

• Tailor Your Resume:
  • Highlight your relevant experience in data analytics, especially any work with data extraction, analysis, and reporting.
  • Use keywords from the job description such as “data analysis,” “MS Excel,” “SQL,” and “business intelligence tools” to make your resume stand out.
• Craft a Strong Resume:
  • Ensure your resume is well-structured with sections for Contact Information, Objective, Education, Experience, Skills, and Certifications.
  • Include specific examples of your experience in data analytics, problem-solving, and working in multicultural teams.
• Prepare for Interviews:
  • Understand the key responsibilities and qualifications for the Staff role at EY.
  • Research EY’s assurance services, global delivery network, and recent projects to align your responses with the company’s objectives.
  • Be ready to discuss your experience with data analysis tools, your problem-solving skills, and how you’ve worked effectively in diverse teams.

Join us at EY to be part of a forward-thinking team and make a significant impact on a global scale. We look forward to seeing how your unique skills and experiences can contribute to our mission of building a better working world.

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