Data Analyst

Round 1: Online aptitude test (logical reasoning, quantitative) → Round 2: Technical interview (Excel, basic accounting concepts, data validation scenarios) → Round 3: HR interview (fit, motivations, cultural alignment)

S&P Global promotes a collaborative, knowledge‑sharing culture where employees are encouraged to innovate and continuously upskill. The firm offers clear career progression, generous learning budgets and a healthy work‑life balance supported by flexible working policies.

S&P Global’s interview process typically starts with a timed online aptitude test, followed by a technical interview that probes your understanding of financial statements, US GAAP concepts and Excel‑based data validation. The final HR round assesses cultural fit and communication skills. The overall difficulty is moderate; thorough preparation on accounting basics and practice of data‑review scenarios greatly improve success chances.

Graduates (B.Tech/B.E., B.Sc., B.Com, BBA) in Computer Science, Information Technology, Electronics, Finance, Accounting or related streams; Minimum 60% aggregate; No active backlogs at the time of joining; Graduation batch 2025‑2027; Strong academic record in quantitative subjects.

S&P Global is a world‑leading provider of essential intelligence that powers financial markets, corporations, and governments. With a heritage spanning more than a century, the company operates across four core divisions – Ratings, Market Intelligence, Dow Jones Indices and Platts – delivering data, analytics and insights that help clients make informed decisions. Headquartered in New York, S&P Global employs over 35,000 professionals worldwide and is known for its culture of integrity, discovery and partnership. The firm invests heavily in technology and talent, offering employees the chance to work on large‑scale data sets, cutting‑edge analytics platforms and industry‑defining research. The Data Analyst – Fundamentals COE role sits within the Fundamentals Center of Excellence, a specialised team that safeguards the accuracy, consistency and quality of financial data used across S&P Global’s products. As a fresher, you will be mentored by senior analysts and COE leads, gaining hands‑on exposure to US GAAP‑based financial statements, audit‑style validation techniques and enterprise‑grade quality frameworks. Your day‑to‑day work will involve reviewing balance sheets, income statements, cash‑flow statements and related disclosures, performing cross‑statement checks, variance analysis and documenting any discrepancies for resolution. Key responsibilities include: 1. Validate and review financial data against US GAAP standards under guidance. 2. Perform classification, mapping and reasonableness checks on balance‑sheet, P&L and cash‑flow items. 3. Conduct basic cross‑statement reconciliations and variance analyses. 4. Identify data gaps or inconsistencies and raise clear, documented escalations. 5. Support internal quality‑control checks and audit‑readiness activities. 6. Maintain detailed documentation of review findings, corrective actions and SOP adherence. 7. Follow standard operating procedures, checklists and quality controls consistently. 8. Collaborate with peers and senior team members to clarify accounting treatments. 9. Participate in training sessions, knowledge‑sharing forums and continuous‑learning initiatives. 10. Contribute to process‑improvement ideas that enhance data reliability. The tech stack is modest for a fresh role – advanced Excel, basic SQL for data extraction, and internal data‑validation tools. Over time, analysts may gain exposure to Python, Tableau or PowerBI as the COE expands its automation capabilities. The growth path can lead to senior analyst positions, subject‑matter expert roles, or transition into broader financial analysis, audit or data‑governance careers within S&P Global’s global network. Why join S&P Global? The company offers a structured learning environment, mentorship from industry veterans, and the chance to work on data that powers decisions for Fortune‑500 firms and governments. Competitive compensation, comprehensive health and wellness benefits, flexible time‑off and a strong focus on continuous learning make it an attractive launchpad for ambitious graduates seeking a long‑term career in finance and data quality.