Assistant Director - Data Analytics (Databricks)
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Before you apply
LocationHeredia, Costa Rica
Typefull-time
SeniorityDirector
Experience5+ yrs
Company size10,000+ people
PostedOct 5, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
5+ years of business analysis, requirements gathering, and stakeholder management experience in business intelligence, analytics, or data product delivery, ideally supporting finance, revenue, lead-to-cash, or enterprise reporting environments
Demonstrated ability to translate ambiguous business problems into structured requirements, user stories, functional specifications, and testable acceptance criteria
Strong partnership skills across business and technology teams with the ability to influence design decisions and recommend practical, business-aligned solutions
Experience designing business-aligned data products, semantic models, reporting frameworks, and reusable analytics solutions in partnership with engineering teams
Knowledge of data modeling, Lakehouse and data warehousing concepts including dimensional modeling, semantic layers, data quality, lineage, and governance
Experience with Databricks, Microsoft Power BI, or comparable analytics platforms
Strong analytical mindset with the ability to validate data, challenge assumptions, and ensure reporting accuracy and usability
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
Bachelor's degree in Business, Finance, Statistics, Data Science, Computer Science, or a related field, or equivalent practical experience
Familiarity with CRM and analytical source systems such as Salesforce is preferred
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position
Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary
Skills
Databricks
Microsoft Power BI
Salesforce
AI tools
About the company
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 Competencies
•
5+ years of business analysis, requirements gathering, and stakeholder management experience in business intelligence, analytics, or data product delivery, ideally supporting finance, revenue, lead-to-cash, or enterprise reporting environments
•
Demonstrated ability to translate ambiguous business problems into structured requirements, user stories, functional specifications, and testable acceptance criteria
•
Strong partnership skills across business and technology teams with the ability to influence design decisions and recommend practical, business-aligned solutions
•
Experience designing business-aligned data products, semantic models, reporting frameworks, and reusable analytics solutions in partnership with engineering teams
•
Knowledge of data modeling, Lakehouse and data warehousing concepts including dimensional modeling, semantic layers, data quality, lineage, and governance
•
Experience with Databricks, Microsoft Power BI, or comparable analytics platforms; familiarity with CRM and analytical source systems such as Salesforce is preferred
•
Strong analytical mindset with the ability to validate data, challenge assumptions, and ensure reporting accuracy and usability
•
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
•
Bachelor’s degree in Business, Finance, Statistics, Data Science, Computer Science, or a related field, or equivalent practical experience
Responsibilities
Partner with business and technology teams to design and deliver trusted analytics, reporting, data products, and AI-enabled solutions
•
Partner with Business Intelligence, Financial Planning and Analysis, Sales Planning and Analytics, and other stakeholders to elicit, clarify, and prioritize reporting, analytics, and data product requirements
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Translate business problems into clear user stories, business requirements, data definitions, and acceptance criteria
•
Act as an architectural partner by evaluating and recommending the best approach across Databricks, reporting layers, analytical workflows, and AI-enabled solutions
•
Facilitate workshops and working sessions with business and technical stakeholders while managing expectations, trade-offs, and delivery scope
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Support data modeling activities aligned to business semantics including dimensions, measures, hierarchies, grain, and lineage requirements
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Contribute to reporting design, source-to-target mapping, semantic layer development, reusable data products, and data consumption patterns
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Lead or support end-to-end testing of reports, datasets, and analytical outputs, validating results against source systems and business rules
•
Ensure solutions meet standards for data quality, accuracy, governance, usability, and identify opportunities for AI-driven insights, automation, and decision support
About the Team
The Customer Operations and Risk organization supports the customer lifecycle and lead-to-cash processes across the enterprise. As part of the Business Systems function within the Data Management and Analytics team, you will help deliver trusted data, reporting, and insights that enable informed decision-making. The team partners closely with business and technology stakeholders to design scalable analytics solutions, promote responsible adoption of AI-enabled capabilities, and drive continuous improvement across reporting and operational processes.
Legal
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.
Candidates for Moody’s Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.