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Asst Dir-Data Specialist
Heredia, Costa Rica
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Posted
05/13/2026
Job reference
13487
Experience level
Experienced Hire
Job category
ESG Analytics, Data & Research
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 CompetenciesExecution-focused, highly structured approach with strong ownership and accountability for outcomesDeep expertise in data quality management, data remediation, and incident responseStrong hands-on technical skills in SQL and Python, including Pandas and NumPyExperience with ETL processes, data integration, and data modelingAbility to operate effectively in fast-paced, client-critical environmentsClear and confident communicator across technical and business stakeholdersProven capability in client-facing data operations and operational executionExperience coordinating cross-functional stakeholders and managing multiple concurrent workstreamsContractor oversight, workforce coordination, and working knowledge of workforce management principlesData visualization and reporting experience using Power BI, Tableau, or QlikViewFamiliarity with Databricks, relational databases, and large-scale data platforms; Spark and PySpark preferredEducationBachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related fieldResponsibilitiesLead execution of client-facing data remediation and data quality operations, applying strong technical and operational discipline to deliver accurate, timely, and scalable outcomes in a high-priority environment.Serve as a primary point of contact for client-facing data remediation issues, supporting triage, prioritization, and resolution of critical data incidentsExecute against defined remediation strategies, ensuring delivery aligned to SLAs, quality standards, and governance requirementsCoordinate responses for high-priority issues, providing clear communication on status, risks, dependencies, and next stepsEscalate complex or sensitive issues with structured insights, root-cause analysis, and actionable recommendationsMonitor and improve data quality across multiple data sources, ensuring accuracy, completeness, and consistencyApply hands-on SQL and Python expertise to analyze, validate, and support data remediation activitiesSupport data deduplication and entity resolution efforts to strengthen core data assetsExecute established data workflows,...
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