EY Bulk Hiring 2023 :- The Post of Data Analytics from can apply for Interested and eligible candidates can read more details below.
EY Bulk Hiring 2023
Company Name | EY |
Post Name | Data Analytics |
Degree | BE, BTech, BSc, BCA, BCom, BA, M.E, MCA, MSc |
Branch | Any Branches |
Batch | 2019,2020, 2021, 2022, 2023 |
Salary | Best in Industry |
Experience | INR 8.8 LPA* |
Location | Gurgaon |
Job Description
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
Your key responsibilities
- Analyze large volume of data and define clear strategy in assurance analytical work
- Act as a team player and work in a multi-cultural environment
- Knowledge of different aspects of auditing. Correlate raw data to audit-related analytics
- Must be able to work closely with the Global Assurance team and support in conceptualizing ideas, strategy and framework
- Support extraction of data from multiple sources by understanding data structure requirement
- Apply industry knowledge to interpret data and improve performance
Skills and attributes for success
- Excellent communication, presentation and people skills
- Problem solving skills with quick learning ability and adaptability to change
- Should be open to working in different time zones and travel as required
- Should have high standard of integrity and confidentiality
- Should be willing to work under tight timelines delivering good quality of work
To qualify for the role, you must have
- Graduates with 0-3 years of relevant experience preferred.
- B.E. or B. Tech Fresher or any other graduate degree, M. Com, B. Com, BSc (Computer Science), MSc (Computer Science) with acumen in analytics / data analysis or reports.
Ideally, you’ll also have
- Basic knowledge on MS Excel and SQL; familiarity with business intelligence tools (e.g., Tableau, SAS, Spotfire)
- Interest in business and commerciality.
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