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Associate Director - Data Analyst

Cape Analytics

New York, NYFull-time$143–207K/yrPosted 1mo agoVerified open 5 days ago

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At a glance

Compensation
$143–207K/yr
Location
New York, NY
Schedule
Full-time
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Cape Analytics is hiring an Associate Director - Data Analyst. Moody’s seeks an experienced Associate Director – Data Analyst to partner with business and technology teams, design and deliver trusted analytics, data products and AI‑enabled solutions, and ensure data quality, governance and usability across enterprise reporting environments.

Key focus areas include Partner with business and technology teams to design and deliver trusted analytics, reporting, data products, and AI‑enabled solutions, Elicit, clarify, and prioritize reporting, analytics, and data product requirements, and Translate business problems into clear user stories, business requirements, data definitions, and acceptance criteria.

Successful candidates bring 10+ Years Business Analysis Experience, 10+ Years Requirements Gathering Experience, and 10+ Years Stakeholder Management Experience. Important skills include Business Analysis, Requirements Gathering, Stakeholder Management, Business Intelligence, Analytics, and Data Product Delivery.

Skills & qualifications

RequiredNice to have

Skills

Business AnalysisRequirements GatheringStakeholder ManagementBusiness IntelligenceAnalyticsData Product DeliveryTranslating Ambiguous Business ProblemsStructured RequirementsUser StoriesFunctional SpecificationsTestable Acceptance CriteriaPartnership SkillsInfluencing Design DecisionsRecommending Practical Business-Aligned SolutionsDesigning Business-Aligned Data ProductsSemantic ModelsReporting FrameworksData ModelingLakehouse ConceptsData Warehousing ConceptsSemantic LayersData QualityLineageData GovernanceDatabricksPower BIAnalytical MindsetValidating DataChallenging AssumptionsEnsuring Reporting AccuracyEnsuring Reporting UsabilityArtificial Intelligence ConceptsAI ToolsImplementing AI-Powered SolutionsAI Risk ManagementResponsible AI UseEthical AI UseElicit RequirementsClarify RequirementsPrioritize RequirementsData DefinitionsEvaluating ApproachesRecommending ApproachesReporting LayersAnalytical WorkflowsFacilitating WorkshopsFacilitating Working SessionsManaging ExpectationsManaging Trade-Offs

Qualifications

10+ Years Business Analysis Experience10+ Years Requirements Gathering Experience10+ Years Stakeholder Management ExperienceBachelor's Degree in Business, Finance, Statistics, Data Science, Computer Science, or Related Field or Equivalent Practical Experience

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
Paid Time Off
401(k) Match
Tuition Assistance

Full job description

Associate Director - Data Analyst New York, United States

Apply now Posted 07/17/2026 Job reference 14086 Experience level Experienced Hire Job category Engineering & Technology Line of business COR 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

  • 10+ 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
  • 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
  • Support data modeling activities aligned to business semantics including dimensions, measures, hierarchies, grain, and lineage requirements
  • Contribute to reporting design, source-to-target mapping, semantic layer development, reusable data products, and data consumption patterns
  • 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. For US-based roles only: the anticipated hiring base salary range for this position is $142,500.00 - $206,700.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email [email protected] . This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Click here to view our full EEO policy statement ( opens in new window) . Click here for more information on your EEO rights under the law ( opens in new window) . Click here to view our Pay Transparency Nondiscrimination statement ( opens in new window) .

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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