Data Operations Associate

Moody's Analytics; Gurugram District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Moody's Analytics in India is seeking an experienced data migration professional to lead cross-system migrations, ensure data integrity, and collaborate with data stewards and IT teams.

You will map fields, validate data, document rules, and use tools like SQL, SAP/NetSuite, Power BI/Alteryx to deliver reliable migrations.

Qualifications

• Experience in enterprise data migration projects.
• Proficient in mapping data fields between source and target systems.
• Ability to document business rules and data quality checks.
• Experience with SAP or NetSuite is beneficial.
• Strong communication with business users and technical teams.

Responsibilities

• Supports enterprise-wide data migration initiatives ensuring accuracy, integrity, and consistency.
• Analyses 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 QA techniques to ensure data accuracy and consistency
• Maps data fields from source to target systems and transforms data to align with new system rules
• Executes data migration processes including extraction, transformation, and loading; monitors progress and troubleshoots issues
• Identifies and resolves data discrepancies, errors, and anomalies with technical teams
• Prepares reports, dashboards, and visualizations to highlight trends and data quality issues for stakeholders
• Gathers requirements with business users and data stewards for cross-functional alignment during migration
• Maintains documentation including migration plans, mappings, validation rules, SOPs, and post-migration reports

Skills

Analytical skills

Data migration

SQL

Data governance

Data quality

Data mapping

Data validation

Documentation

Communication skills

AI concepts awareness

Education

Bachelor's or higher in Finance, CS, IS, Data Management

Tools

SAP

NetSuite

Power Automate

Power BI

Alteryx

Databricks

Collibra

DBeaver

Job description

Job Summary

Moody's unites 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.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Experience level: Experienced Hire

Job category: Data, Analytics Research

Line of business: ROC

Skills

• 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

• Bachelors / 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