Senior Data Specialist

About the role

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.

Responsibilities

• Support data quality initiatives by leading remediation activities, improving data integrity, and providing operational and deputy management support to the Data Specialist team.
• Review, correct, and enrich entity data to resolve inaccuracies, duplicates, and incomplete records.
• Research and validate information using internal and external sources to ensure data accuracy and completeness.
• Document remediation actions, decisions, and supporting rationale in accordance with established procedures.
• Identify recurring data quality issues and trends, providing insights and recommendations to improve processes and quality standards.
• Follow data governance, quality, and compliance requirements to maintain data integrity and support audit activities.
• Create and assist with the management of Jira tickets to support issue triage, tracking, and resolution across the team.
• Manage and follow up on client cases within Salesforce to ensure timely and effective issue resolution.
• Support workload prioritization, monitor team outputs, and assist the Team Leader with coaching, training, and quality reviews.
• Collaborate with Product Managers, Developers, Information Providers, Sales teams, and other stakeholders to resolve data challenges and improve processes.
• Prepare reports, dashboards, meeting notes, and status updates that communicate remediation outcomes, actions, and data quality improvements.
• Maintain process documentation, operational manuals, and reference materials to ensure changes and decisions are accurately recorded.
• Identify opportunities to leverage Python, Databricks, automation, and approved AI tools to improve data collection, analysis, and remediation efficiency.
• Develop technical proposals and recommendations for process improvements and automation initiatives in partnership with senior team members and leadership.
• Aid in resource planning and team coverage to ensure continuity of operations during planned and unplanned absences.
• Support onboarding and training activities by delivering guidance, answering process-related questions, and serving as a subject matter resource for the team.

Requirements

Skills And Competencies:

• Experience in data remediation, data quality management, data validation, and enrichment activities within large and complex datasets.
• Strong analytical and problem-solving skills with the ability to identify data quality issues, trends, and opportunities for process improvement.
• Advanced Excel skills and working knowledge of SQL for data validation, analysis, and reporting.
• Familiarity with Jira, Salesforce, Databricks, and other tools used to support data operations, remediation, and issue management.
• Excellent attention to detail with the ability to maintain accuracy and consistency while managing high volumes of data.
• Strong communication and stakeholder management skills, with the ability to collaborate effectively across operations, product, technology, sales, and external data provider teams.
• Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency.
• Prioritize and manage multiple tasks and projects simultaneously.
• 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.

Qualifications

• Bachelor’s degree in Business, Data Analytics, Information Systems, Computer Science, Finance, Engineering, or a related field preferred.
• Equivalent combinations of education, certifications, and relevant professional experience will be considered.
• Exposure to SQL, Python, Databricks, data governance, data quality management, or related certifications is considered a plus.

Benefits

Moody’s 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.

Pay

The anticipated hiring base salary range for this position is $56,300.00 - $81,650.00, depending on factors such as experience, education, level, skills, and location.

Schedule

This role is full-time.