Data Operations Associate

Moody; Gurugram District; Presencial; INR 1.200.000 - 2.200.000; Jornada completa

Descripción de la vacante

Moody's Data Operations Associate role in Gurgaon focuses on enterprise data migration across systems, ensuring accuracy and compliance with business rules. The job requires strong SQL skills, data governance knowledge, and hands-on experience with BI and automation tools to support migration initiatives.

The team emphasizes collaboration with data stewards and IT, leveraging AI-powered solutions to streamline processes while maintaining data integrity and audit readiness during complex

Formación

• Bachelor's / postgraduate degree in finance, computer science, information systems, data management or related field.
• 3-7 years’ experience in data operations and migration.
• Proficiency in SQL for data querying, validation and mapping across systems.
• Knowledge of data governance, data quality assurance and documentation of business rules.
• Experience with enterprise apps like SAP or NetSuite and tools like Power BI, Power Automate, Alteryx or Databricks.

Responsabilidades

• Supports enterprise-wide data migration initiatives ensuring data accuracy, integrity, and consistency across systems.
• Analyzes data structures, collects, cleans, and validates datasets from multiple sources.
• Documents data rules and applies validation techniques to ensure data quality during migrations.
• Maps data fields between source and target systems and transforms data for new system requirements.
• Executes ETL processes and monitors migration progress, troubleshooting issues in real time.
• Identifies and resolves data discrepancies with technical teams.
• Prepares reports, dashboards, and visualizations to highlight trends and data quality issues for stakeholders.
• Collaborates with business users, data stewards, and IT to ensure smooth migration and governance.

Conocimientos

SQL

Data migration

Data validation

AI concepts

Communication

Educación

Bachelor's / Postgraduate in Finance or CS/IS/Data Management

Herramientas

SAP

NetSuite

Power BI

Power Automate

Alteryx

Databricks

Collibra

DBeaver

Descripción del empleo

Let's begin! Data Operations Associate (15635)

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

• Strong analytical skills with hands-on experience understanding complex data structures, schemas, and migration requirements, combined with proficiency in extract, transform, and load processes across enterprise environments.
• 3-7 years’ experience required for this role. Proficiency in SQL for data querying, manipulation, and validation, with experience mapping data fields between source and target systems to meet business rules and technical requirements.
• Knowledge of data validation techniques, data quality assurance best practices, and data governance principles, including documentation of business rules, standard operating procedures, and data lineage.
• Familiarity with enterprise platforms such as SAP or NetSuite, and hands-on experience with reporting and automation tools including Power Automate, Power BI, Alteryx, or Databricks; experience with master data management tools such as Collibra or DBeaver preferred.
• Excellent verbal and written communication skills with strong problem-solving ability; capable of collaborating across business users, data stewards, and technical teams while clearly explaining technical concepts to non-technical stakeholders
• Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use.

Education

• Bachelor's / postgraduation degree in finance or Computer Science, Information Systems, Data Management, or a related field required

Responsibilities

• Supports enterprise-wide data migration initiatives by ensuring the accuracy, integrity, and consistency of data as it transitions across systems.
• Analyzes data structures and identifies migration requirements, collecting, cleaning, and validating datasets from multiple source systems
• Documents business rules for data quality checks and applies validation and quality assurance techniques to ensure data accuracy, integrity, and consistency throughout the migration lifecycle
• Maps data fields from source to target systems and transforms data to align with new system requirements and business rules
• Executes data migration processes including extraction, transformation, and loading, monitoring migration progress and troubleshooting issues in real time
• Identifies and resolves data discrepancies, errors, and anomalies, collaborating with technical teams to implement corrective actions
• Prepares reports, dashboards, and visualizations to highlight key trends and document data quality issues for stakeholder review
• Works closely with business users, data stewards, and technical teams to gather requirements, communicate progress, and facilitate cross-functional alignment to ensure a smooth migration transition
• Creates and maintains comprehensive documentation including migration plans, data mappings, validation rules, standard operating procedures, and post-migration reports to support governance and audit readiness

About the Team

Our Ratings Operations and Controls (ROC) team is responsible for supporting the data management, quality, and operational processes that underpin Moody's global ratings and research activities. We contribute to Moody's by ensuring the highest standards of data accuracy and consistency across critical systems, enabling seamless data transitions that support business continuity and analytical integrity, and driving operational efficiency through technology, automation, and AI-enabled solutions. By joining our team, you will be part of exciting work in enterprise data migration, digital transformation, and process innovation across our Gurgaon operations.

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.

For more information on the Securities Trading Program, please refer to the Securities Trading Policy on Moody’s Compliance Expo page

Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.