📍
Gurugram, India

Data Transformation Analyst II-Mobility

3 years experience
Finance
Data / Analytics
Posted:
January 15, 2026

S&P Global

Financial data and market intelligence platform
72.1
Palpable Score
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The Team:

The Name Standardization team within S&P Global Mobility is responsible for enhancing the raw data and transforming it into a meaningful information.

Responsibilities and Impact:

The name team plays a crucial role in delivering relevant data to the clients. As a part of the Name Standardization Team, the candidate will work on Global Automotive space to provide relevant and insightful details regarding various automotive entities.

What We’re Looking For:

Required Skills

About the company

S&P Global

Company overview
S&P Global sells data, analytics, and benchmarks used across global financial and commodity markets, plus credit ratings through S&P Global Ratings and indices through S&P Dow Jones Indices. The company’s products help investors, banks, corporates, and governments assess risk, price assets, and make decisions using market data and research. S&P Global also operates large information businesses in areas like commodities, private markets, and market intelligence. S&P Global serves customers worldwide across multiple divisions and product lines.

Locations and presence

S&P Global operates globally across four regions with major hubs including New York and London, alongside large delivery and analytics teams in other countries. S&P Global promotes flexible working arrangements including flex hours and work-from-home options, while some roles list minimum office days by team.

Palpable Score

72.1
/ 100
S&P Global offers several credible entry points through internships and early-career rotations, and S&P Global backs that up with benefits and structured learning language that graduates can verify on public pages. Hiring transparency is decent, helped by a published candidate journey and repeatable interview patterns, but candidates still report uneven follow-up experiences. Outcomes are the main limiter because S&P Global does not publish intern conversion, early-tenure retention, or typical time-to-promotion data.
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