Let's begin! Associate Director - Data Analyst (13153)
Skills and Competencies
- 10+ years of requirements gathering and stakeholder management experience in business intelligence, analytics, or data product delivery supporting revenue/lead-to-cash or finance operations; ability to translate needs into clear user stories and acceptance criteria
- Experience with customer relationship management platforms (E.g. Salesforce) and modern analytics tools (E.g.Microsoft Power BI, Tableau, or Alteryx)
- Working knowledge of data modelling and data warehousing/Lakehouse concepts, including data quality and governance
- Ability to read and validate Structured Query Language (SQL) and interpret existing queries, views, stored procedures, and functions
- Basic understanding of artificial intelligence concepts, with 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
Education
- Bachelor’s degree in Business, Finance, Statistics, Data Science, Computer Science, or a related field (or equivalent practical experience).
Responsibilities
Own reporting requirements for the data Lakehouse and Power BI buildout, delivering reports, data models, and testing with business partners.
- Own and manage reporting requirements for lead-to-cash use cases, prioritising demand and aligning scope, dependencies, and timelines with stakeholders
- Elicit and document business needs with Finance, Sales, and Marketing; translate them into user stories, acceptance criteria, process flows, and a clear backlog for delivery
- Define metrics, business rules, and data definitions; partner on dimensional/data modelling for the lakehouse and the Power BI semantic layer to ensure consistent reporting
- Coordinate with data engineering and information technology teams on the data Lakehouse and Power BI buildout, clarifying requirements, dependencies, and non-functional needs (for example, refresh cadence and security)
- Support reporting development by validating source-to-report logic (including Structured Query Language (SQL)) and partnering on dashboard/report builds in Power BI
- Plan and execute testing (system and user acceptance testing), document delivered solutions, and support adoption and data governance
- Work independently while coordinating across teams
About the Team
The Customer Operations and Risk organization supports the customer lifecycle and lead-to-cash processes. This role sits within the Business Systems function as part of Data Management and Analytics team to deliver trusted data, reporting, and insights that enable decision‑making across the business.
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.
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