Associate Director - Data Analytics (Databricks)

Moody's Investors Service; New York (NY); On-site; USD 143,000 - 207,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Parental leave

Paid time off

401(k) plan with employer contribution

Life insurance

Disability insurance

Accident insurance

Discounted employee stock purchase计划

Job summary

Moody's Investors Service seeks a senior analytics leader to design and deliver trusted analytics, reporting, data products, and AI-enabled solutions across finance and risk platforms. You will partner with BI, FP&A, Sales Analytics, and other stakeholders to elicit requirements, translate problems into user stories, and guide data modeling, semantic layers, and AI-driven insights.

This role emphasizes data quality, governance, and scalable analytics in a fast-paced environment, with

Qualifications

• 10+ years of business analysis, requirements gathering, and stakeholder management in BI, analytics, or data product delivery.
• Ability to translate ambiguous business problems into structured requirements, user stories, functional specs, and testable acceptance criteria.
• Strong partnership skills across business and technology teams to influence design and deliver practical solutions.
• Experience designing data products, semantic models, reporting frameworks, and reusable analytics with engineering teams.

Responsibilities

• 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 with BI, FP&A, Sales Analytics, and others.
• Translate business problems into clear user stories, requirements, data definitions, and acceptance criteria.
• Evaluate and recommend approaches across Databricks, reporting layers, analytics workflows, and AI-enabled solutions.
• Lead workshops with stakeholders, manage expectations and scope.
• Support data modeling aligned to business semantics including dimensions, measures, hierarchies, grain, and lineage.
• Contribute to reporting design, mapping, semantic layers, and data consumption patterns.
• Test reports and datasets end-to-end, validate against source systems and business rules.
• Ensure data quality, governance, usability and identify AI-driven insights opportunities.

Skills

Business analysis

Requirements gathering

Stakeholder management

Data product delivery

Translate requirements to stories

Cross-functional collaboration

Data modeling

Lakehouse concepts

Data warehousing concepts

Databricks

Power BI

Salesforce familiarity

AI concepts

AI workflow automation

Education

Bachelor1 degree in Business, Finance, Statistics, Data Science, Computer Science, or related field

Tools

Databricks

Power BI

Salesforce

Job description

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.

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.

• medical
• dental
• vision
• parental leave
• paid time off
• a 401(k) plan with employee and company contribution opportunities
• life
• disability
• accident insurance
• a discounted employee stock purchase plan
• 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 [e-mail]. 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.

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.