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0-3 years
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10 Feb. 14, 2024
Job Description
Job Type: Full Time Education: Any Graduate Skills: Python, .net, React Native, HTML, Communication Skills, Power Bi, Numpy Pandas, Sql, machine learning, Data Analysis, Data Science

Job description

We are currently seeking an ESG data analyst for our ESG Newsroom unit. The ideal candidate will have a keen interest in the media, a solid grounding in ESG, the ability to assess and validate alternative ESG data and to work with our AI/ML and NLP experts on continued enhancements of news capture and indexing.

 

Responsibilities:

  • Monitor the press, NGO and government sources for ESG news and corporate controversies

  • Identify alternative, non-corporate sources to supplement, complement and compare corporate ESG data

  • Participate in and contribute to team processes focused on strengthening ISS ESG product offering

  • Participate in maintaining and developing methodology and processes to capture salient ESG news

  • Cooperate with data science teams to conceptualize and build out AI/ML and NLP news capture and indexing

  • Participate in analyzing ESG news data and writing a summary of trending news stories for the weekly newsletter

 

Qualifications:

  • Bachelors Degree (in a relevant field such as Business Analytics, Environmental Science, Journalism, ESG or Sustainability)

  • A masters degree would be an advantage

  • 0 to 3 years of experience in research, and analysis skills in evaluating ESG data

  • Excellent command of English; additional languages are an asset

  • Strong interest in business and finance

  • Advanced use of Excel. Experience with Data Mining and Data Analysis technologies and language, including R, Python, Pandas, Jupyter Notebook, Matplotlib, is desirable but not required

  • Attention to detail, and methodical and thorough approach to work

  • Proven writing skills

  • Excellent communication and interpersonal skills

  • Ability to work towards deadlines, manage tasks and prioritise

  • A desire to show initiative

  • A drive for constant improvement of processes

 

We offer a hybrid work schedule of 3 days in the office and 2 days working from home.

 

Note:

  • Interested applicants should include a cover letter along with the CV in English in a single file (PDF or MS Word).

  • Applications without a cover letter will not be taken into consideration.

Role: Data Analyst

Industry Type: Banking

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Business Intelligence & Analytics

Education

UG: Any Graduate

PG: Any Postgraduate

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