ESG Content & Data Analyst

LSEG

Kuching

On-site

MYR 42,000 - 64,000

Full time

14 days+

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Benefits offered by this job

Healthcare benefits
Retirement planning
Volunteer days
Wellbeing initiatives

Job summary

London Stock Exchange Group (LSEG) in Kuching is seeking a Content Analyst to support ESG data collection and analysis within Financial Content Operations. The role involves gathering data from sources like annual reports and sustainability disclosures, and applying a defined ESG methodology for evaluation.

The ideal candidate has a bachelor’s degree and strong English and Mandarin reading skills, with meticulous attention to data quality and the ability to work to weekly targets in a

Qualifications

  • Bachelor’s degree or equivalent experience.
  • Proficiency in English and Mandarin (reading/comprehension).
  • Strong analytical and critical thinking skills.
  • High attention to detail and accuracy in data review.
  • Adaptable to ESG standards and data requirements.
  • Ability to meet weekly timeliness and quality standards.

Responsibilities

  • Collect ESG data from annual reports, sustainability reports, websites, and filings of publicly traded companies.
  • Research and analyze data per ESG Ratings methodology.
  • Provide brief comments and rationale to support analysis.
  • Reference source documents used.
  • Process data to meet timeliness requirements and work from Contributors.

Skills

Analytical thinking
Attention to detail
Multitasking
English proficiency
Mandarin proficiency
Ownership mindset

Education

Bachelor’s degree or equivalent experience

Job description

London Stock Exchange Group (LSEG) in Kuching is seeking a Content Analyst to support ESG data collection and analysis within Financial Content Operations. The role involves gathering data from sources like annual reports and sustainability disclosures, and applying a defined ESG methodology for evaluation.

The ideal candidate has a bachelor’s degree and strong English and Mandarin reading skills, with meticulous attention to data quality and the ability to work to weekly targets in a

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