Senior Data Specialist

Moody's Investors Service; India; On-site; INR 800,000 - 1,100,000; Full time

Job summary

Moody's Investors Service is seeking a data quality specialist to review, enrich, and validate entity data across systems, ensuring accuracy and consistency. You will document updates and collaborate with data operations, product managers, developers, and sales teams to drive remediation efforts.

The role emphasizes governance, audit support, and exploring Gen AI-enabled automation with tools like MS Copilot and OpenAI to improve processes and data quality.

Qualifications

• Bachelor’s degree in data management, CS, info systems, or related field.
• Experience validating and enriching entity data across systems.
• Knowledge of data governance, quality controls, and audit support.

Responsibilities

• Review, correct, enrich, and validate entity data across systems, documenting updates.
• Identify recurring data quality issues and share actionable insights to improve remediation checklists.
• Follow data governance and audit protocols by maintaining documentation and supporting audit requests.
• Coordinate workflows by creating Jira tickets and handling Salesforce client cases.
• Collaborate with Product Managers, Developers, Information Providers, and Sales teams.
• Explore automation opportunities with Python, PySpark, Databricks, MS Copilot, and OpenAI.

Skills

Data quality

Data governance

Data remediation

Excel

SQL / Python

Gen AI tools familiarity

Communication

Education

Bachelor's degree in related field

Tools

Jira

Databricks

SQL

Python

PySpark

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.

Skills and Competencies

• 3-5 experience reviewing, correcting, enriching, and validating entity data to improve accuracy, completeness, and consistency across systems
• Strong understanding of data quality, data governance, remediation protocols, documentation standards, and audit support requirements
• Ability to identify recurring data issues, recognize patterns, and translate insights into practical recommendations for process improvement
• Proficiency with Excel and familiarity with Jira, Databricks, SQL, Python, or PySpark is advantageous
• Interest in using Gen AI tools, including MS Copilot and OpenAI, to support data collection, remediation, automation, and process improvement opportunities
• Strong communication and collaboration skills, with the ability to work effectively with data operations teams, product managers, developers, sales teams, and other stakeholders

Education

• Bachelor’s degree in Data Management, Computer Science, Information Systems, Business, Finance, Economics, or a related discipline preferred
• Relevant certification or training in data quality, data governance, analytics, SQL, Python, Databricks, or automation tools would be an advantage

Responsibilities

• Review, correct, enrich, and validate entity data across systems by resolving inaccuracies, duplicates, and missing information, while documenting updates, justifications, and observations throughout the remediation process
• Identify recurring data quality issues, patterns, and inconsistencies, and share actionable insights with team leads or data quality managers to strengthen remediation checklists, quality standards, and process improvements
• Follow established data governance, quality, and audit protocols by maintaining accurate documentation, supporting audit evidence requests, and participating in peer reviews or quality checks to uphold consistent data standards
• Coordinate operational workflows by creating and managing centralized Jira tickets, handling and following up on Salesforce client cases, prioritizing remediation tasks, and supporting reports or dashboards that summarize remediation outcomes and data improvements
• Collaborate with data operations colleagues and cross-functional stakeholders, including Product Managers, Developers, Information Providers, and Sales teams, while communicating progress, data challenges, recurring issues, and team meeting notes clearly and professionally
• Support continuous improvement and deputy management activities by exploring Python, PySpark, Databricks, MS Copilot, and OpenAI-enabled automation opportunities, preparing technical proposals, assisting with team output monitoring, coaching, training, ad hoc project distribution, leave cover, and data source change implementation

About the team

The Contacts team is responsible for maintaining the quality, accuracy, and completeness of people and professional profile data used across Moody's products and solutions. The team works closely with internal and external data providers, product teams, and operations partners to ensure high-quality contact information and support ongoing data enrichment initiatives. By joining us, you will contribute to data quality improvement efforts, resolve complex data issues, identify opportunities for process optimization, and help drive automation and Gen AI-enabled solutions to enhance operational efficiency.

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.