Analytics & Modeling Analyst

PowerToFly; Greater Noida; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Moody’s is hiring in India for a Data Analytics role within the Data Analytics & Solutions team. You will analyze geospatial and structured data to uncover trends, validate datasets, and generate insights that inform risk-focused decisions.

You will collaborate with analysts, data scientists, modelers, and engineers across India, London, and the United States to deliver scalable, data-driven solutions while advancing AI-assisted workflows and modern data pipelines.

Qualifications

• 3–5 years in data analytics, statistical analysis or related quantitative disciplines with SQL and Python
• Proficient in Python libraries (Pandas, NumPy) to analyze large datasets and communicate findings
• Experience with data quality assessment, automation, and AI-assisted workflows is advantageous
• Familiarity with GIS, catastrophe modeling, insurance analytics, risk management, or related domains preferred

Responsibilities

• Analyze structured, semi-structured, and geospatial datasets to uncover trends and support decisions
• Develop and enhance property insurance datasets, analytical products, and reporting solutions
• Apply statistical techniques to improve data quality and investigate issues
• Partner with analysts, data scientists, modelers, engineers, and stakeholders to deliver data-driven solutions
• Create documentation, dashboards, and presentations for informed decisions
• Support automation and AI-driven innovation within the team
• Build expertise in catastrophe risk and property exposure analytics

Skills

SQL

Python

Pandas

NumPy

Data analytics

GIS

Tableau

Power BI

ETL

Education

Bachelor’s or Master's in Engineering, Data Science, Statistics, Mathematics, CS or related quantitative field

PhD in quantitative/analytical field (0-2 years experience)

Tools

Tableau

Power BI

Cloud analytics environments

data pipelines / ETL

Job description

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

Skills and Competencies

• 3 to 5 years of experience in data analytics, statistical analysis, analytical research, spatial data analysis, or related quantitative disciplines, with strong proficiency in SQL and Python
• Hands-on experience using Python libraries such as Pandas and NumPy to analyze, validate, transform, and interpret large datasets
  Strong analytical, critical thinking, and problem-solving skills, with the ability to translate business requirements into actionable insights and communicate findings to diverse stakeholders
• Experience with data quality assessment, testing, reconciliation, automation, and process improvement initiatives; familiarity with AI-assisted workflows and effective prompting techniques
• Exposure to visualization tools such as Tableau or Power BI, cloud-based analytical environments, data pipelines, or ETL workflows is preferred
• Knowledge of GIS, catastrophe modeling, insurance analytics, risk management, machine learning, or related analytical domains is advantageous

Education

• Bachelor's or Master's degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, GIS, Remote Sensing, Actuarial Science, Business Analytics, or another quantitative discipline with relevant professional experience. OR
• PhD in a quantitative or analytical field with up to 2 years of relevant experience

Responsibilities

• Analyze structured, semi-structured, and geospatial datasets to uncover trends, identify anomalies, and generate insights that support business and modeling decisions
• Support the development and enhancement of property insurance datasets, analytical products, spatial data layers, and reporting solutions
• Apply statistical and analytical techniques to improve data quality, validate datasets, investigate issues, and contribute to model and product improvement initiatives
• Partner with analysts, data scientists, modelers, engineers, and global stakeholders to deliver scalable, data-driven solutions
• Develop clear documentation, analytical summaries, dashboards, presentations, and reports that enable informed decision-making
• Contribute to automation, operational efficiency, and innovation initiatives, including the adoption of AI-driven and agentic solutions
• Build expertise in catastrophe risk, property exposure analytics, and related data and modeling technologies while expanding your analytical capabilities

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. The team works with large-scale property, geospatial, and risk-related datasets to improve data accuracy, consistency, and usability. This role offers the opportunity to collaborate with multidisciplinary teams across India, London, and the United States while building deep expertise in analytics, data quality, property intelligence, and risk-focused products.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.