Data analyst Hiring in India

Are you a data enthusiast with a knack for analytics and insights? S&P Global, a leader in financial information and analytics, is looking for talented Data Analysts to join their dynamic team. This is your chance to work with one of the most reputed organizations in the industry, renowned for its cutting-edge solutions and global impact.

About the Role – Data analyst Hiring in India

As a Data Analyst at S&P Global, you will play a key role in analyzing, interpreting, and delivering actionable insights from complex datasets. Your work will drive decision-making processes and contribute to innovative solutions that meet client needs.

Key Responsibilities

Develop, implement, and maintain LLM-based models to support internal audit processes.

Analyze large datasets to identify trends, anomalies, and insights that inform audit strategies.
Collaborate with audit teams to define requirements and translate business needs into technical solutions.
Conduct research on emerging LLM technologies and methodologies to continuously improve audit practices.

Design and execute experiments to evaluate model performance and effectiveness.
Prepare comprehensive documentation and reports on model development, findings, and recommendations.
Present insights and findings to stakeholders, translating complex technical concepts into actionable business strategies.

Ensure compliance with data governance and privacy policies while handling sensitive information.

Qualifications – Data analyst Hiring in India

Bachelor’s or Master’s in Data Science, Computer Science, Statistics, or a related field.
2-5 years of proven experience in transforming business problem into developing and deploying LLM-based models.

Strong programming skills in Python or R, with proficiency in libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.
Experience with data manipulation and analysis using SQL and other data processing tools.
Familiarity with audit processes and internal controls is a plus.

Excellent problem-solving skills and the ability to work independently as well as in a team environment.
Strong communication skills, with the ability to convey technical information to non-technical stakeholders.