Research Analyst (Commercial Diligence)

The Research Analyst will work closely with consultants on the Value Creation team of one of CRISIL’s
clients, a Global Private Equity Firm based in New York City. They will support the team across a variety of
diligence-focused functions, with exposure to the team’s value creation practices in the course of their work.
This position will emphasize the opportunity to collaborate extensively with the team in a fast-paced and global
work environment. The Research Analyst will learn and apply key skills across both (1) due diligence of
prospective investments (market sizing/modeling, competitive landscape assessment, voice of customer,
review mining, etc.), (2) portfolio company value creation (including but not limited to digital marketing, pricing,
etc.). This position will be ~80% focused on the diligence skillset, and ~20% focused on value creation
support.

Key skills and responsibilities across both diligence and value creation support include:
- Perform analysis of internal and external data sources (e.g., market data, survey data, review data) and
synthesize key findings into client-ready work products (typically PPT)
- Design, clean, and analyze survey datasets, identifying trends and actionable insights to support due
diligence and value creation deliverables
- Review market research reports and company information to rapidly evaluate market landscape and
competitive positioning, across a range of industries/regions
- Assist with formation and execution of client’s key practice development initiatives, including identifying
and implementing AI automation tools to improve efficiency of recurring analyses and workflows

Personality / Culture:
 Exceptional work ethic and desire to learn new skills in a fast-paced environment
 Exceptional attention to detail and methodical approach to performing analysis
 Exceptional resourcefulness to find solutions fast and collaboratively with clients
 Exceptional teammate who wants to roll sleeves up and support CRISIL colleagues
 Interest in analyzing data and translating findings into actionable insights
 Globally focused, high achieving and collaborative core mindset

Skills / Experience:
 Excellent command of both spoken & written English is a minimum requirement
 Excellent command of Microsoft Excel is essential; previous exposure to other Microsoft Suite
(PowerPoint, Word) is required
 Hands-on experience using AI tools for research, analysis, or automation is required
 Prior internship or work experience, particularly in consulting or banking, is a plus, but not required
 Track record of leadership / other awards at university is a plus, but not required
 Experience with Python is a plus, but not required