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Senior Data Specialist
Bengaluru, India
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Posted
07/20/2026
Job reference
14165
Experience level
Experienced Hire
Job category
Corporate Services
Line of business
Data Estate
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.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. Skills and Competencies5-8 experience reviewing, correcting, enriching, and validating entity data to improve accuracy, completeness, and consistency across systemsStrong understanding of data quality, data governance, remediation protocols, documentation standards, and audit support requirementsAbility to identify recurring data issues, recognize patterns, and translate insights into practical recommendations for process improvementProficiency with Excel and familiarity with Jira, Databricks, SQL, Python, or PySpark is advantageousInterest in using Gen AI tools, including MS Copilot and OpenAI, to support data collection, remediation, automation, and process improvement opportunitiesStrong communication and collaboration skills, with the ability to work effectively with data operations teams, product managers, developers, sales teams, and other stakeholdersEducationBachelor’s degree in Data Management, Computer Science, Information Systems, Business, Finance, Economics, or a related discipline preferredRelevant certification or training in data quality, data governance, analytics, SQL, Python, Databricks, or automation tools would be an advantageResponsibilitiesReview, correct, enrich, and validate entity data across systems by resolving inaccuracies, duplicates, and missing information, while documenting updates, justifications, and observations throughout the remediation processIdentify recurring data quality issues, patterns, and inconsistencies, and share actionable insights with team leads or data quality managers to strengthen remediation checklists, quality standards, and process improvementsFollow established data governance, quality, and audit protocols by maintaining accurate documentation, supporting audit evidence requests, and participating in peer reviews or quality checks to uphold consistent data standardsCoordinate operational workflows by creating and managing centralized Jira tickets, handling and following up on Salesforce client cases, prioritizing remediation tasks, and supporting reports or dashboards that summarize remediation outcomes and data improvementsCollaborate with data operations colleagues and...
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