Data Operations Associate

2 weeks ago

Gurugram Haryana, India Moody's Full time

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.

Skills and Competencies
- Strong analytical skills for complex data structures and issue identification.
- Proficiency in ETL processes (data extraction, transformation, loading).
- Experience mapping and validating data between systems, ensuring data quality and compliance
- Strong SQL skills for data querying and manipulation.
- Effective communication and collaboration with stakeholders and capable of troubleshooting and resolving data migration challenges effectively.
- Familiarity with enterprise platforms (e.g., SAP, NetSuite).
- Experience with Power BI and Alteryx for reporting and workflow automation.
- Understanding of data governance principles and best practices.
- Skilled in advanced validation, profiling, and root cause analysis to improve data accuracy and reliability.
- Experienced in cross-functional coordination to resolve data issues and align on migration requirements.
- Proficient in Alteryx and Databricks for workflow automation and data transformation to support decision-making.
- Capable of maintaining SOPs, data dictionaries, and lineage documentation to support governance and audit readiness.
- Hands-on with Collibra, DBeaver, pgAdmin, and Microsoft Access for managing master data and metadata across systems.

Education
- Bachelor’s degree in related field i.e. Computer Science, Information Systems, Commerce with 5+ years of relevant experience

**Responsibilities**:

- Support enterprise-wide data migration initiatives, ensuring accuracy, integrity, and consistency of data across systems.
- Analyze existing data structures to determine migration needs and dependencies.
- Collect, cleanse, and validate datasets from multiple sources.
- Document business rules for data quality checks.
- Ensure data accuracy, integrity, and consistency throughout the migration process.
- Map data fields between source and target systems, ensuring alignment with business requirements.
- Transform data to meet new system specifications and business logic.
- Execute ETL processes for data migration, ensuring completeness and accuracy.
- Monitor migration progress and resolve issues in real time.
- Identify and address data discrepancies, anomalies, and errors.
- Collaborate with business users, data stewards, and technical teams to gather requirements, implement corrective actions and ensure cross-functional alignment.
- Create dashboards and reports to highlight trends and document data quality issues.
- Maintain comprehensive documentation including migration plans, mappings, validation rules, and post-migration reports.

About the team

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.

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