Data Analyst – Data Forward Event (Grade 07) | S&P Global Market Intelligence

About the Company: Elite Multi-Asset Financial Intelligence

S&P Global Market Intelligence (including the premier S&P Capital IQ business line) stands as an elite global provider of multi-asset class data, real-time research, and sophisticated predictive analytics. The organisation serves institutional investors, investment and commercial banks, wealth managers, corporations, and universities worldwide.

Through standard desktop infrastructures like S&P Capital IQ, enterprise valuation data models, and specialised research arms, S&P Global sharpens raw financial metrics into actionable market wisdom. Operating at the apex of global financial data, the firm empowers its clients to track portfolio performance, mitigate systemic risk, and execute investment strategies with absolute conviction.

About the Role: Data Analyst – Data Forward Event (Grade 07)

Are you a highly analytical finance post-graduate looking to step onto a world-class financial research platform? S&P Global Market Intelligence is recruiting for a high-potential Data Analyst (Grade 07) – Data Forward Event across its primary Indian operational hubs in Hyderabad, Ahmedabad, Bangalore, and Gurgaon.

This specialized entry-level corporate track is designed specifically for fresh Post-Graduates and MBA holders specialising in Finance. Sitting within the core Data Science & Analytics division, you will join an elite team of analysts processing corporate documents, real-time global trade publications, and regulatory filings. Your mission is to collect,synthesize, and validate multi-asset market datasets, including corporate events, transactions (M&A and Capital Markets),and macro fundamentals. This role offers an immersive runway to master global market mechanics while actively contributing to internal automation and LEAN process optimization.

Key Responsibilities & Financial Data Workflows

• Data Collation & Extraction: Synthesize high-quality financial and non-financial corporate datasets from primary and secondary sources, inputting metrics into S&P workflow applications.

• Secondary Market Research: Monitor global regulatory document registries, stock exchanges, financial journals,and market aggregators to extract consensus metrics.

• Quality & Accuracy Assurance: Review feedback involving transaction data content, troubleshooting structural inconsistencies to refine processing rules.

• Process Improvement Support: Participate actively in department-level workflow enhancement initiatives,applying LEAN frameworks and basic scripting for process automation.

• Cross-Functional Output: Achieve daily individual and group performance objectives while developing domain-specific technical expertise to cross-train incoming cohorts.

Candidate Prerequisites & Technical Matrix

We are looking for detail-oriented finance specialists with an exceptional grasp of corporate accounting structures.

Basic Qualifications:

• Experience Threshold: 0 Years (Freshers Track).

• Educational Requirement: Post-Graduate or MBA with a major specialisation in Finance from a reputable academic institution.

• Domain Expertise: Strong, fundamental understanding of corporate finance, accountancy mechanisms, financial statements, and the anatomy of corporate annual reports.

• Analytical Capabilities: Sharp quantitative, interpretive, and thematic web research skills to extract hidden details from unstructured financial texts.

• Tool Competency: Baseline proficiency across the Microsoft Office suite (specifically building financial formulas in Excel and data summaries in PowerPoint).

• Communication Core: Clear, articulate written and oral English communication skills.

• Operational Agility: Absolute readiness to operate within a continuous 24*5 corporate environment across rotational shifts (including night schedules).

What S&P Global Offers You

• Elite Institutional Foundation: An unparalleled launchpad to study global market dynamism and institutional capital structures.

• Structural Skill Progression: Clear pathways to advance from core data analysis into business automation, technical project management, or senior financial research tracks.

• World-Class Infrastructure: Work out of premier corporate properties, such as the iconic Sky View campus in Hyderabad.