S&P Global Freshers Recruitment 2022 | Data Transformation Analyst | Graduate/MBA Date Posted 22nd June 2022

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Role: Data Transformation Analyst

Company Name: S&P Global

Job Position: Data Transformation Analyst

Experience: Freshers/Experienced

Job Location: Hyderabad

Qualification: Graduate/MBA

Date of Joining: Immediate Joiners

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Job Description:

Position summary:

  • IHS Markit is seeking a highly motivated individual who is interested in joining the Bond Research Group and contributing to our coverage of the municipal bond market.
  • Bond Research Group covers all municipal bond initiatives from initiation to completion on the primary market level. Analysts in the group have the opportunity to build relationships with the world’s largest underwriters, financial advisors and various buy-side and sell-side participants. There are opportunities to work with the business team to develop the future growth of the product as well as test and roll-out code changes with our developers.

Duties & Responsibilities:

  • Procure, analyse and process data required for primary market level.
  • Critically analyse processes and find solutions to managing complex market information to ensure the timeliness and quality of data that our clients have grown to expect.
  • Deliver excellent customer service to IHS’s clients and internally across the department.
  • Provide insight into the world of municipal bonds and who possess the technical skills needed to the process.
  • Update and process data onto the IHS’s database in a timely manner
  • Identify opportunities for efficiencies and product development and see those ideas through implementation

Eligibility Criteria:

  • MBA specialized in Finance; fresh graduates may apply
Skills Required:

Minimum Skills:

  • MBA specialized in Finance; fresh graduates may apply
  • Effective analytical and research skills
  • Strong proficiency in Excel and PowerPoint
  • Commitment to enhancing and developing products
Salary:
  • Not Mentioned

Last Date To Apply: Apply As Soon As Possible

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