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EY OFFCAMPUS DRIVE | 2021 BATCH | Data Analytics_Intern 5 |

EY OFFCAMPUS  DRIVE | 2021 BATCH



ABOUT COMPANY

EY is known as Ernst & Young is one of big four company. It is unique platform to learn and enhance your skill for your career. Its a unique career choice to start your career.


JOB ID:335565

ROLE: Data Analytics_Intern 5

Responsibilities include, but are not limited to:


  • Must be able to work closely with the Analytics teams and support them in data profiling, data transformation and analytics delivery.
  • Acquiring expertise in EY’s suite of Helix tools within a short period of time.
  • Having a strong focus on meeting tight delivery timelines.
  • Design, review and rectify scripts and workflows, systems and processes to analyze client data Knowledge of auditing aspects good to have.
  • Ability to correlate raw data to audit-related analytics
  • Able to use available technology and tools effectively in the process of data transformation

 


Requirements:

 

  • Bachelor / Masters in Computer Applications, Information Systems or related discipline from reputed institute.
  • B.Com/M.Com, degree in Business, accounting, finance.
  • Bachelor in Maths / Statistics from reputed institute.
  • Data analytics certifications preferred
  • 0-6 months of relevant experience in data transformation / ETL / related fields.
  • Working knowledge of MS Excel and SQL; familiarity with data integration and visualization tools (e.g. Tableau, Spotfire, Alteryx, ACL) though not mandatory, will be considered a plus.
  • Audit domain knowledge, though not mandatory, will be considered a plus.
  • Excellent Written and Oral Communication skills - Presentation and Soft Skills
  • Being a quick learner and demonstrating adaptability to change.
  • Problem-solving skills.
  • Should be open to working in different time zones and travel on a need basis
  • Should possess high standard of integrity and confidentiality
  • Should be willing to and capable of delivering under tight timelines, basis the business needs.

 

Ideal candidate will:

 

  • Master complex tasks, understand the implications of work performed while maintaining data quality and security.
  • Be self-motived and continuously demonstrate an enthusiasm to learn.
  • Demonstrate a strong commitment to team success, going beyond own tasks to help the team as a whole to succeed.
  • Communicate messages clearly and confidently showing sincerity and approachability.
  • Effectively anticipate and proactively address issues to ensure timely delivery of high-quality work.



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