Associate Data Analyst
On-siteHeredia, Heredia Province, Costa Rica
Job Summary
Support data analysis, dashboard reporting, data quality routines, and process improvements for Moody's Ratings. Perform analysis to identify historical patterns, emerging trends, and potential risks that support visibility into the end-to-end credit rating process. Assist with data preparation and validation to identify anomalies and opportunities to improve visibility into operational processes. Execute routine data quality checks and documented procedures to ensure dashboard outputs are accurate, reliable, and consistent. Help investigate dashboard or data discrepancies by gathering evidence, documenting findings, and supporting root cause analysis and remediation activities. Build foundational subject matter knowledge of the end-to-end rating process, applicable global regulatory policies, and supporting operational procedures. Participate in cross-functional projects by performing data analysis, testing, documentation, status tracking, and implementation activities tied to regulatory or business requirements.
Required Qualifications
- Working knowledge of structured data analysis using SQL and/or Python
- Practical experience with BI and reporting tools such as Tableau or Power BI
- Strong Excel skills
- Exposure to Jira, Access, or similar workflow/data tools
- Ability to support data extraction, preparation, transformation, and validation activities across multiple data sources
- Foundational understanding of data quality, documentation, routine checks, and control-minded analysis
- Clear written and verbal communication skills
- Ability to summarize findings, ask thoughtful questions, and translate data issues into practical business language
- Organized, collaborative, detail oriented, and eager to learn
- Ability to manage multiple assignments, seek feedback, and contribute positively within a team environment
- Bachelor's degree in business Analytics, Data Science, Statistics, Economics, Mathematics, Finance, Computer Science, or a related quantitative field
- Up to two years of related work experience in data analytics, business intelligence, operations, finance, or a related field
Desired Qualifications
- Familiarity with R or statistical analysis concepts
- Exposure to Alteryx, data pipelines, or workflow automation
- Basic understanding of artificial intelligence concepts
- Curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency
- Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use
- Bachelor's degree in business Analytics, Data Science, Statistics, Economics, Mathematics, Finance, Computer Science, or a related quantitative field preferred
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