Asst-Dir Data Quality Analyst
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 experience in data quality management or engineering, preferably within a commercial setting
- Must have databricks experience
- Proficiency in data monitoring and reporting tools such as Alteryx, Python, SQL, MS Fabric, MS PowerBI, and MS Excel
- Solid working knowledge of Salesforce
- Proven experience working in a multi-functional team, with a strong understanding of data integrity and change management processes
- Excellent communication skills, with the ability to liaise effectively with both business and technical teams
- Detail-oriented with strong analytical skills and experience performing root-cause analysis for data quality issues
- Ability to leverage AI technologies to enhance decision-making and streamline data quality processes
- Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using tools like Copilot and ChatGPT to streamline workflows and enhance operational efficiency.
- Proven ability to implement AI-powered solutions, including agentic AI systems, to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use.
Education
- Bachelor’s or Master’s degree in Data Management, Computer Science, Information Systems, Business Analytics, or a related field
Responsibilities
- Develop and implement a comprehensive data quality strategy, defining quality standards, metrics, and KPIs for critical data assets
- Assess current data quality to identify gaps, inconsistencies, and anomalies, and evaluate the impact on business processes
- Design and implement automated and manual data validation processes; oversee data cleansing activities to remediate errors in large datasets
- Establish and enforce data governance policies, processes, and standards, collaborating with data stewards, IT, and business units
- Develop workflows and controls for ongoing data quality monitoring, including automated alerts and dashboards
- Create and maintain detailed documentation of data quality processes, standards, and tools
- Develop and present regular reports on data quality metrics, trends, and improvement initiatives to senior leadership
- Provide insights and recommendations to improve data quality based on analytical findings
About the team
Our Data Management and Governance team is responsible for ensuring the integrity, reliability, and usability of the organization's data across multiple systems and domains. By joining our team, you will be part of exciting work in developing and implementing comprehensive data quality strategies aligned with organizational goals, establishing and enforcing data governance policies, processes, and standards across the organization and leveraging AI technologies to enhance decision-making, streamline processes, and drive innovation.
For US-based roles only: the anticipated hiring base salary range for this position is $103,800.00 - $150,600.00, 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 . Click here for more information on your EEO rights under the law . Click here to view our Pay Transparency Nondiscrimination statement . Click here to view our Notice to New York City Applicants.
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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