Data Analyst
Published date: 2026/11/10
- Location: Ahmedabad, Gujarat, India
S&P Global Market Intelligence
Important Note:
After submitting the application, you will be redirected to complete the Pymetrics test. It is mandatory to complete this assessment test.
Kindly take care of below while attempting the screening questions during application submission
• Relocation - "Yes" if you’re nonlocal to the given position location and "Not Applicable" if you’re local to the position location
• "Yes" if you are willing to work in rotational shifts (including night shifts as per business requirement)
The Role: Data Analyst
The Location: Ahmedabad / Hyderabad
The Team:
The Reference Data team works as a backbone of the S&P Global databases which maintains & delivers all the Entity level data for S&P Global products involving research centric data collection for profile information, entity & security level symbol linking, people data, corporate structure. Reference data integrates, maintains, manages, and delivers Cross Reference Identifiers (CUSIP, ISIN, etc at Entity and Security level. The team offers data maintenance of over 70 million securities & 60 million entities. The Team provides structural and content support for standardized coexistence of 3rd Party data alongside in-house S&P GMI Data, certain Corporate Services and products like GICRS, BECRS, XpressFeed, MI etc. and also plays a crucial role by eliminating duplicate company & security profiles and maintain high quality content being offered to our clients. The team deals in ingestion of global reference identifiers from multiple vendors daily, along with running multiple checks on the database for various metrics.
The Impact:
• Data is sourced from various Sources/Vendors and hence it becomes imperative to collect, analyze and ingest data within communicated SLAs and with best of quality.
• Data ingested via different workflows has direct impact on downstream collection process and front- end information being utilized by Clients in decision-making.
• Products like GICRS, BECRSare fed in Xpressfeed through data ingested by researchers and hence very critical from cross-referencing perspective.
Important Note:
After submitting the application, you will be redirected to complete the Pymetrics test. It is mandatory to complete this assessment test.
Kindly take care of below while attempting the screening questions during application submission
• Relocation - "Yes" if you’re nonlocal to the given position location and "Not Applicable" if you’re local to the position location
• "Yes" if you are willing to work in rotational shifts (including night shifts as per business requirement)
The Role: Data Analyst
The Location: Ahmedabad / Hyderabad
The Team:
The Reference Data team works as a backbone of the S&P Global databases which maintains & delivers all the Entity level data for S&P Global products involving research centric data collection for profile information, entity & security level symbol linking, people data, corporate structure. Reference data integrates, maintains, manages, and delivers Cross Reference Identifiers (CUSIP, ISIN, etc at Entity and Security level. The team offers data maintenance of over 70 million securities & 60 million entities. The Team provides structural and content support for standardized coexistence of 3rd Party data alongside in-house S&P GMI Data, certain Corporate Services and products like GICRS, BECRS, XpressFeed, MI etc. and also plays a crucial role by eliminating duplicate company & security profiles and maintain high quality content being offered to our clients. The team deals in ingestion of global reference identifiers from multiple vendors daily, along with running multiple checks on the database for various metrics.
The Impact:
• Data is sourced from various Sources/Vendors and hence it becomes imperative to collect, analyze and ingest data within communicated SLAs and with best of quality.
• Data ingested via different workflows has direct impact on downstream collection process and front- end information being utilized by Clients in decision-making.
• Products like GICRS, BECRSare fed in Xpressfeed through data ingested by researchers and hence very critical from cross-referencing perspective.
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