Data Analyst
Click here to Apply OnlineJob 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.
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.
Responsibilities
- Drive data quality and operational efficiency by developing automated solutions and managing data within Salesforce and SQL environments
- Develop and execute complex SQL and PL/SQL queries to analyze data, perform data scrubs, and validate data integrity across our systems
- Design and implement automated solutions to streamline recurring data operations, such as data comparison and golden record identification
- Manage and improve the quality of core data entities (accounts, contacts, leads) through enrichment, de-duplication, and remediation activities
- Collaborate with development and downstream teams to troubleshoot and resolve data-related issues within the Salesforce application
- Create and maintain knowledgebase articles on data architecture and processes, and provide operational backup support for the team
Skills and Competencies
- Required: 5+ years of relevant experience with a deep proficiency in SQL, including analytical functions, and at least 2+ years of hands-on experience with Salesforce and Alteryx
- Required: Strong understanding of Data Warehousing concepts, data modeling, data governance, and data integrity principles
- Required: Excellent communication and stakeholder management skills, combined with strong analytical and problem-solving abilities
- Required: Ability to work in rotational shifts to support US customers
- Preferred: Experience with data visualization tools (Tableau/Power BI) and scripting/automation with Python is a plus
Education
- Bachelor’s degree in Information Technology, Computer Science, Business, or a related field is preferred
About the team
Our Data Management team is responsible for maintaining the accuracy, integrity, and efficiency of our core business data within systems like Salesforce. We enable critical business functions by providing high-quality data, improve operational workflows through automation, and support stakeholders with expert data analysis. By joining our team, you will be part of exciting work in building automated solutions, enhancing our data governance framework, and directly impacting business success through high-quality data
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.
- Posted: 01/28/2026
- Job Reference #: 12471
- Location(s):
- Tower -11, (IT/ITES) SEZ of M/s Gurugram Infospace Ltd, Vill. Dundahera, Sector-21, Gurugram, Haryana, Gurugram, Haryana, 122016, IN
- Line of Business: COR(COR)
- Job category:
- Engineering & Technology
- Experience Level: Experienced Hire