Senior Associate - ESG Client Services
HybridIslamabad, Islamabad, Pakistan or Ahmedabad, Gujarat, India
Job Summary
Produce high-quality ESG data analyses, reports, and models in a timely manner while adhering to established guidelines and quality targets. Apply detailed analytical skills to interpret complex ESG datasets, ensuring accuracy and identifying potential issues. Take initiative in addressing data-related problems or suggesting process improvements within the ESG domain. Support team objectives by contributing to the development of new ESG data products or enhancements. Operate with a strong understanding of S&P Global's purpose and values, connecting them to daily work and supporting sustainable market practices. All employees are required to work from the office a minimum of 2 days per week.
Required Qualifications
- 2+ years of experience in data analysis, particularly within ESG, financial data, or a related field
- Proficiency in data analysis tools such as SQL, Python/R, or advanced Excel, for data extraction, manipulation, and reporting
- Demonstrated ability to assess urgency in tasks, prioritize effectively, and actively participate in team discussions to achieve common goals
- Resourceful and solution-oriented, with the capacity to generate new ideas and adapt behavior based on different situations and team needs
- All employees are required to work from the office a minimum of 2 days per week
- We require all external candidates who reach the final stage of our interview process to attend at least one in-person interview, which is ordinarily at your nearest S&P Global office. This must be completed before we can proceed to an offer
Desired Qualifications
- Familiarity with ESG frameworks, reporting standards, and market trends
- Experience with data visualization tools (e.g., Tableau, Power BI) and dashboard creation
- Proven ability to look for ways to improve quality and apply skills to situations with defined outputs, contributing to team goals
- A curious mindset, proactively seeking out new information to broaden perspective and generate new ideas for process improvement
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