Data Analyst

The interview process at S&P Global typically starts with a timed online aptitude test, followed by a technical interview focusing on SQL, Python, and data‑analysis scenarios. The final HR round assesses cultural fit and motivation. Overall difficulty is moderate; thorough preparation on data handling and clear communication of insights greatly helps.

S&P Global promotes a collaborative and inclusive work culture where employees are encouraged to share ideas and take ownership of projects. The firm offers structured learning programs, regular feedback cycles, and a healthy work‑life balance, allowing freshers to grow confidently while maintaining personal well‑being.

Graduates (B.Tech/B.E., B.Sc., B.Com, MCA, or equivalent) from any stream; minimum 60% aggregate (or CGPA 6.0/10); passing year 2025 or 2026; no active backlogs at the time of joining; strong analytical mindset and willingness to learn.

Round 1: Online Aptitude Test (Logical Reasoning, Quantitative, Verbal) → Round 2: Technical Interview (SQL, Python, Data handling, Case studies) → Round 3: HR Interview (fitment, motivation, salary expectations)

S&P Global is a leading provider of transparent and independent credit ratings, benchmarks, analytics and data solutions for the global financial markets. With a presence in more than 30 countries, the firm helps investors, corporations and governments make informed decisions by delivering high‑quality data and insights. The company’s culture is built around integrity, collaboration and continuous learning, encouraging employees to challenge the status quo and drive innovation in the financial data space. As a fresher‑friendly organization, S&P Global invests heavily in training programs, mentorship and clear career pathways, making it an attractive launchpad for young talent. The Data Analyst role is designed for recent graduates who are eager to dive into the world of data‑driven decision making. You will work closely with senior analysts and product owners to collect, clean, and interpret large datasets that power S&P Global’s flagship products. The position offers exposure to industry‑leading tools and methodologies, enabling you to develop a solid foundation in data analytics while contributing to real‑world business outcomes. Key Responsibilities: 1. Collate, clean, and validate large volumes of data according to defined guidelines. 2. Perform exploratory data analysis to uncover trends, anomalies, and insights. 3. Load processed data into internal work tools and maintain data pipelines. 4. Understand dataset structures, workflow dependencies, and documentation standards. 5. Meet individual and team targets while ensuring high‑quality deliverables. 6. Suggest improvements to data collection methods and product features. 7. Participate in ad‑hoc projects, delivering results within stipulated timelines. 8. Troubleshoot data‑related issues and provide timely support to peers. 9. Assist in refining departmental processes and workflows. 10. Contribute to building technical expertise within the team through knowledge sharing. Tech Stack: SQL, Python (pandas, numpy), Excel, Tableau/Power BI, Git, and internal data‑management platforms. The role offers a clear growth path—from Analyst to Senior Analyst, then to Data Scientist or Product Owner—supported by regular performance reviews and skill‑upgradation programs. Joining S&P Global means working in a globally recognized brand, gaining exposure to financial data at scale, and building a network of seasoned professionals. The supportive environment, competitive salary, and emphasis on work‑life balance make it an excellent starting point for a data‑centric career.