S&P Global is hiring for a FRESHER entry level Data Analyst role in India

Position:

• Data Analyst

Company:

• S&P Global

Location:

• Gurgaon, Haryana, India

Job type:

• Full-time

Job mode:

• Onsite

Job requisition id:

• 323964

Years of experience:

• 0 to 3 years

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Company description:

• S&P Global is a globally recognized organization that specializes in delivering high-value intelligence, data, and analytics to businesses, governments, and institutions across the world. The company operates at the intersection of finance, data, and technology, enabling informed decision-making for stakeholders who rely on accurate and timely insights.
• With a workforce exceeding tens of thousands of professionals spread across multiple regions, the organization brings together diverse perspectives, domain expertise, and advanced technologies to solve complex challenges in global markets.
• The company plays a critical role in supporting financial ecosystems by offering data-driven insights related to investments, credit ratings, sustainability, and market trends. Its platforms and tools help clients interpret large datasets, identify patterns, and make strategic decisions with confidence.
• A strong emphasis is placed on innovation and continuous improvement. The company actively invests in modern technologies, including automation, analytics, and digital transformation, to enhance its offerings and remain ahead in a rapidly evolving industry.
• The work culture promotes collaboration, ethical conduct, and a commitment to excellence. Employees are encouraged to think critically, challenge assumptions, and contribute to meaningful outcomes that have a global impact.
• The organization also prioritizes employee well-being and professional growth by offering learning programs, flexible work arrangements, and career development opportunities. This creates an environment where individuals can grow both personally and professionally.
• Through its mission of delivering essential intelligence, the company continues to shape how industries understand data, manage risks, and identify new opportunities in a competitive landscape.

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Profile overview:

• The role of Data Analyst within the Public Ownership domain focuses on ensuring the accuracy, consistency, and reliability of ownership-related data for publicly listed companies across global markets. This position sits within a specialized quality team that is responsible for validating and improving datasets used by financial professionals and institutions.
• The individual in this role will work extensively with shareholding data, which is collected from multiple official sources such as company filings, annual reports, and stock exchange disclosures. The responsibility includes mapping this data to relevant stakeholders and ensuring that all information aligns with established quality standards.
• The position involves a balance of operational and analytical responsibilities. On a day-to-day basis, the analyst will review datasets, identify discrepancies, and correct errors to maintain high data integrity. This requires a keen eye for detail and the ability to interpret structured and unstructured financial information.
• Collaboration is a key aspect of this role. The analyst will interact with internal teams across different regions, contributing to shared objectives and participating in process improvement initiatives. Working with cross-functional teams helps ensure that quality issues are resolved efficiently and that best practices are consistently applied.
• In addition to routine tasks, the role offers exposure to process optimization projects. Analysts are encouraged to identify inefficiencies, suggest improvements, and contribute to initiatives that enhance productivity and data quality.
• This position serves as a strong foundation for individuals looking to build expertise in financial data and analytics. It provides valuable exposure to real-world datasets and industry practices, enabling professionals to develop domain knowledge and analytical skills that are highly relevant in the market.

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Qualifications:

• Candidates should possess a Bachelor’s or Master’s degree, preferably in fields such as Finance, Business, Economics, or related disciplines. Equivalent practical experience in similar roles may also be considered.
• A strong analytical mindset is essential for success in this role. The candidate should be comfortable working with data, identifying patterns, and applying logical reasoning to solve problems.
• Proficiency in tools such as Microsoft Excel, PowerPoint, and Word is required, as these are commonly used for data analysis, reporting, and communication. Basic knowledge of SQL is also expected to support data extraction and manipulation tasks.
• Attention to detail is a critical requirement, as the role involves handling large volumes of data where even minor errors can impact overall quality. The ability to maintain accuracy while working under deadlines is highly valued.
• Effective communication skills are important, both verbal and written. The candidate should be able to clearly present findings, collaborate with team members, and engage with stakeholders across different functions.
• Problem-solving abilities and a solution-oriented approach are necessary to identify issues and implement corrective actions. Candidates should be proactive in addressing challenges and suggesting improvements.
• Familiarity with quality management frameworks such as Six Sigma or Lean methodologies can be an added advantage, as these approaches are often used to enhance process efficiency and data accuracy.
• The ability to work independently with minimal supervision while also contributing to team objectives is essential. Flexibility and adaptability are important traits in a dynamic work environment.

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Additional info:

• The role includes a strong focus on quality assurance activities, where the analyst is responsible for conducting audits, inspections, and validations to ensure that datasets meet predefined standards. Regular monitoring of workflows helps identify potential issues before they impact downstream processes.
• Quality control tasks involve analyzing data samples, detecting inconsistencies, and recommending corrective measures. The analyst collaborates with relevant teams to implement these actions and maintain consistency across datasets.
• Process improvement is a continuous responsibility. The analyst is expected to identify inefficiencies, propose enhancements, and contribute to initiatives that improve overall productivity and data quality. Root cause analysis is often conducted to address recurring issues and prevent future occurrences.
• Documentation plays a significant role in this position. Maintaining detailed records of quality checks, audits, and improvements ensures transparency and supports ongoing monitoring of performance metrics.
• Reporting responsibilities include preparing insights on quality trends, defect rates, and performance indicators. These reports help stakeholders understand current challenges and track progress over time.
• Key performance indicators for this role include reduction in error rates, improvement in client satisfaction, timely completion of audits, and successful implementation of process improvements. These metrics help evaluate the effectiveness of the analyst’s contributions.
• The organization offers a range of benefits designed to support employees’ well-being and career growth. These include health coverage, learning programs, financial planning support, and family-oriented benefits.
• Employees are encouraged to engage in continuous learning through structured programs that enhance both technical and professional skills. This ensures that individuals remain competitive and capable of adapting to evolving industry demands.
• The company promotes a culture of fairness, inclusion, and equal opportunity, ensuring that all employees have access to growth and advancement based on merit and performance.

Please click here to apply.