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ESG Product Analyst with 4+ years in Data Quality & Sustainable Investment
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Assessing your cultural and operational fit
ESG professional with 4+ years across leading rating agencies and ESG fintech, covering the full data lifecycle — research, ratings, data quality, regulatory reporting, and product. Specialist in vendor data integrity (MSCI, Sustainalytics, ISS), and translating client needs into product features. Owning QA for analytics platforms with a proven record of improving data accuracy, and supporting institutional clients.
Lala Lajpatrai Institute of Management
Master of Management Studies · Finance
August 1, 2020 – June 30, 2022
BYK College of Commerce
Bachelor of Commerce · General
August 1, 2017 – June 30, 2020
Equity Data Science (EDS)
ESG Product Analyst
April 1, 2025 – Present
India
SG Analytics
QA Analyst (promoted from ESG Analyst)
April 1, 2024 – March 31, 2025
India
Morningstar Sustainalytics
Research Associate - ESG Ratings
February 1, 2022 – October 31, 2023
India
Cultural Fit Analysis
The candidate's experience across different companies (Equity Data Science, SG Analytics, Morningstar Sustainalytics) and roles (ESG Product Analyst, QA Analyst, Research Associate) demonstrates adaptability and a broad understanding of the ESG domain. Their involvement in optimizing AI models and designing client alert systems suggests an innovative mindset. The focus on data integrity, regulatory compliance, and client-centric product development aligns well with a detail-oriented and impact-driven organizational culture. The progression from Research Associate to ESG Product Analyst indicates a growth mindset and ambition.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their work in data validation, discrepancy resolution, and defining business logic. Their experience in client meetings and acting as a Level-2 escalation point indicates good communication and client-facing abilities. The role as a QA Analyst also suggests attention to detail and a methodical approach to ensuring data accuracy and product quality. Their work with AI model optimization shows adaptability and a proactive approach to leveraging new technologies.