Assc Analytics & Model Analyst

Moody's Corporation; Varanasi; On-site; INR 500,000 - 900,000; Full time

Job summary

Moody's Corporation is seeking a data analytics associate to analyze structured and geospatial datasets, supporting property insurance data products and catastrophe risk modeling. You will validate data, perform analyses, and collaborate with cross-functional teams across India, London, and the United States.

You will contribute to automating workflows, enhancing data quality, and delivering clear insights to technical and non-technical stakeholders, leveraging AI-driven solutions where

Qualifications

• Bachelor’s or Master’s degree in Engineering or a quantitative discipline.
• MBA/PGDM with Data Analytics specialization also considered.
• Strong SQL and Python skills with data science basics.

Responsibilities

• Analyze structured, semi-structured, and geospatial datasets to identify patterns and opportunities for improvement.
• Support the development and enhancement of property insurance datasets, spatial data layers, analytical products, and data-driven solutions.
• Perform exploratory research and analytical studies for catastrophe modeling, product development, and data improvement initiatives.
• Conduct data validation, reconciliation, testing, and quality assurance to improve accuracy and completeness.
• Investigate data issues, document findings, identify root causes, and support timely resolution; apply statistical techniques for insights.
• Collaborate with analysts, modelers, data scientists, engineers, and stakeholders; prepare documentation, reports, dashboards, and summaries.
• Contribute to process optimization and AI-driven solutions to improve operational efficiency.
• Develop expertise in catastrophe risk and geospatial analytics.

Skills

SQL

Python (Pandas)

Data analysis

Analytical thinking

Learning agility

AI/Automation

Education

Bachelor’s or Master’s in Engineering/Quantitative field

MBA/PGDM in Data Analytics (considered)

Job description

• 0 to 2 years of academic, internship, or professional experience in data analytics, statistical analysis, research, or related analytical fields


• Strong proficiency in SQL for data extraction, validation, reconciliation, quality assurance, and analytical problem-solving


• Working knowledge of Python and data analysis libraries such as Pandas and NumPy to process, analyze, and interpret large datasets


• Strong analytical, logical reasoning, and critical-thinking skills, with the ability to identify trends, anomalies, and data quality issues. Effective communication and presentation skills, with the ability to translate analytical findings into actionable insights for technical and non-technical stakeholders


• Demonstrated ability to learn new tools, datasets, and analytical concepts quickly while working independently and collaboratively in a fast-paced environment


• Strong prompting and agentic AI skills, with an interest in leveraging AI-driven solutions to enhance analytical workflows and process efficiency

Skills And Competencies

• 0 to 2 years of academic, internship, or professional experience in data analytics, statistical analysis, research, or related analytical fields


• Strong proficiency in SQL for data extraction, validation, reconciliation, quality assurance, and analytical problem-solving


• Working knowledge of Python and data analysis libraries such as Pandas and NumPy to process, analyze, and interpret large datasets


• Strong analytical, logical reasoning, and critical-thinking skills, with the ability to identify trends, anomalies, and data quality issues. Effective communication and presentation skills, with the ability to translate analytical findings into actionable insights for technical and non-technical stakeholders


• Demonstrated ability to learn new tools, datasets, and analytical concepts quickly while working independently and collaboratively in a fast-paced environment


• Strong prompting and agentic AI skills, with an interest in leveraging AI-driven solutions to enhance analytical workflows and process efficiency

Education

• Bachelor’s or Master’s degree in Engineering (B.E./B.Tech, M.E./M.Tech), Data Science, Statistics, Mathematics, Computer Science, Applied Statistics, GIS, Remote Sensing, Actuarial Science, or another quantitative or analytical discipline

MBA or PGDM with a specialization in Data Analytics is also considered

Responsibilities

• Analyze structured, semi-structured, and geospatial datasets to identify patterns, trends, anomalies, and opportunities for improvement.Support the development and enhancement of property insurance datasets, spatial data layers, analytical products, and data-driven solutions


• Perform exploratory research and analytical studies to support catastrophe modeling, product development, and data improvement initiatives


• Conduct data validation, reconciliation, testing, and quality assurance activities to improve data accuracy, completeness, and consistency


• Investigate data issues, document findings, identify root causes, and contribute to timely resolution efforts. Apply statistical and analytical techniques to support business insights, decision-making, and risk-related analyses


• Collaborate with analysts, modelers, data scientists, engineers, and global stakeholders across cross-functional teams. Prepare clear documentation, analytical reports, dashboards, presentations, and summaries to communicate insights and recommendations effectively


• Contribute to process optimization, automation initiatives, and the adoption of agentic AI-driven solutions to improve operational efficiency


• Develop expertise in catastrophe risk, property exposure analytics, geospatial data, and related analytical tools and methodologies

About The Team

The Data Analytics & Solutions team within Model Development is responsible for developing, validating, and enhancing property data and analytical solutions that support property exposure assessment and catastrophe risk modeling. Working with large-scale property, geospatial, and risk-related datasets, the team focuses on improving the accuracy, consistency, completeness, and usability of analytical information. This role offers an excellent opportunity to collaborate with multidisciplinary teams across India, London, and the United States while building expertise in data analytics, statistical analysis, property intelligence, data quality, and risk-focused products in a highly collaborative and innovation-driven environment.