Data Analyst Intern (Minimum 5-Month Commitment) at ESGPEDIA PTE LTD
Singapore, , Singapore -
Full Time


Start Date

Immediate

Expiry Date

22 Nov, 25

Salary

1500.0

Posted On

23 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Sql, Communication Skills, Powerpoint

Industry

Information Technology/IT

Description

COMPANY DESCRIPTION

ESGpedia is Asia’s leading ESG data and technology company, headquartered in Singapore. The ESGpedia platform powers the ESCAP Sustainable Business Network (ESBN) Asia-Pacific Green Deal digital platform, the Asia-Pacific Single Accesspoint for ESG Data (SAFE) initiative, and the Singapore-Australia Go-Green Co-Innovation Programme. With more than 5 million sustainability data points, ESGpedia serves as the Nexus of ESG, digitally empowering corporates, SMEs, and the financial sector to ensure compliance towards ESG regulations and attain their ESG goals. ESGpedia is GRI-licensed. For more information, please visit www.esgpedia.io.

JOB SUMMARY

The data analyst intern will work closely with our Product team and business users on an end-to-end process to generate actionable business insights as part of the ESG solution of our core platform. The intern can expect to learn how to use the latest tools to perform data cleaning and data analytics for the sustainable industry.

REQUIREMENTS

  • Strong written and verbal communication skills
  • Detail oriented and data driven, strong in problem solving skills
  • Proficient with the use of MS Excel, Powerpoint, Word
  • Basic coding knowledge, in any language (R, Javascript, Python) is preferred
  • Basic coding knowledge of SQL is preferred

INTERN EXPERIENCE SHARING

https://www.youtube.com/watch?v=PDNAHrfoCKI

How To Apply:

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Responsibilities

Your core responsibilities:
1. Improve the data collection and cleaning methods through automation
2. Identify relationships and correlation between different sustainability/ESG data sets for trend reports
3. Deliver Business Intelligence (BI) dashboards that visualize analytical results
4. Collaborate on LLM (Large Language Model) projects to extract, analyze, and gather data for advanced analytics and reporting tasks.

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