Asst Dir-Business Analyst-Cont

Moody's Investors Service; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Moody's Investors Service is seeking a skilled data operations professional to drive data quality initiatives for large-scale datasets. You will leverage SQL and Python to automate workflows, profile data, detect anomalies, and implement scalable remediation within a global data team.

You will collaborate with Product, Content, Sales, and IT to ensure reliable data delivery across Moody's Orbis platform, documenting governance rules and processes while enabling data-driven decision making at

Qualifications

• 5-10 years of experience in data operations, data management, analytics, or related role.
• Expertise in SQL and Python for large datasets, automation, and insights.
• Experience in data quality management, profiling, anomaly detection, scalable remediation.

Responsibilities

• Drive data quality initiatives by monitoring, measuring, and improving large-scale datasets.
• Investigate data issues, identify root causes, and lead remediation with repeatable processes.
• Automate data operations and introduce controls to improve efficiency.
• Partner with technology teams to support data integration, pipelines, and models.
• Use analytics tools to generate insights and track quality trends for stakeholders.
• Collaborate across Product, Content, Sales, and data teams to align priorities.
• Document data processes, quality rules, and governance frameworks for scalability.

Skills

SQL

Python

Data quality

ETL/ELT

Databricks

Power BI

Data architecture

Stakeholder comms

Education

Bachelor’s or Master’s degree

Tools

Databricks

Power BI

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

• 5-10 years of relevant experience in data operations, data management, data quality, analytics, automation, or a related role
• Strong expertise in SQL and Python, with the ability to analyze large datasets, automate workflows, and generate actionable insights
• Proven experience in data quality management, including profiling, anomaly detection, and implementing scalable remediation processes
• Solid understanding of data architecture, data modeling, ETL/ELT workflows, and data integration across multiple systems
• Hands-on experience with analytics and visualization tools such as Databricks, and Power BI (or similar platforms)
• Excellent problem-solving and analytical skills, with the ability to identify root causes and translate findings into impactful solutions
• Strong communication and collaboration skills, with the ability to engage both technical and non-technical stakeholders in a global environment

Education

• Bachelor’s or Master’s degree in Data Science, Information Systems, Computer Science, Data Management, Economics, Finance, Mathematics, Statistics, or a related field

Responsibilities

• Drive data quality initiatives by monitoring, measuring, and enhancing the accuracy, consistency, and reliability of large-scale datasets
• Investigate data issues, identify patterns and root causes, and lead remediation efforts through structured, repeatable processes
• Optimize data operations by introducing automation, controls, and scalable frameworks to improve efficiency and reduce manual effort
• Partner with technology teams to support data integration, pipelines, and data models, ensuring seamless and reliable data delivery
• Leverage analytics tools to generate insights, track quality trends, and communicate progress to key stakeholders
• Collaborate cross-functionally with Product, Content, Sales, and global data teams to align priorities and deliver business impact
• Develop and maintain clear documentation for data processes, quality rules, and governance frameworks to enable scalability and consistency

About the Team

You will be part of a global, collaborative data team focused on delivering high-quality, trusted data that powers Moody’s flagship Orbis platform and related solutions. The team works at the intersection of data, technology, and business, driving innovation through automation, advanced analytics, and continuous process improvement. By joining us, you will have a unique opportunity to work on large-scale data challenges, influence global data strategy, and contribute to meaningful insights.

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.