Moody’s has announced new job openings for the role of Data Specialist at its Gurgaon office. This full-time onsite position is ideal for candidates with strong analytical abilities, data validation skills, and a background in commerce, mathematics, statistics, or data science. Freshers with foundational knowledge and experienced candidates can apply.
Job Overview
Name of the Company: Moody’s
Job Role: Data Specialist
Qualifications: Graduate in Commerce, Mathematics, Data Science, Statistics, Economics, or a related field
Experience: 1–3 years
Salary: INR 7 – 8 LPA (via AmbitionBox — estimated based on similar roles)
Job Location: Gurgaon (Onsite – Full Time)
Job Category: Credit Analysis & Research
Requisition ID: 11749
Last Date: ASAP
Official Website: www.moodys.com
About the Role
The Data Specialist will join Moody’s Data Estate team, which is responsible for managing, enriching, and validating core entity data that powers the company’s global financial intelligence solutions. This team plays a central role in ensuring that clients receive accurate, reliable, and complete datasets for risk evaluation and decision-making. You will contribute to the integrity of Moody’s world-class data platform while working in a structured, quality-driven environment focused on operational excellence.
Roles & Responsibilities
- Perform data remediation, enrichment, and validation activities.
- Review and correct inaccuracies, duplicates, and incomplete entity data.
- Conduct research using internal and external sources to verify data authenticity.
- Identify recurring data quality issues and support process improvements.
- Follow data governance standards and quality protocols.
- Participate in peer reviews and quality audits for data integrity.
- Work with the data operations team to prioritize remediation tasks.
- Use Excel and SQL for data validation, reporting, and analysis.
Required Skills & Qualifications
- Bachelor’s degree in Commerce, Mathematics, Data Science, Statistics, Economics, or related field.
- 1–3 years of experience in data operations, validation, analysis, or remediation.
- Strong analytical and problem-solving abilities.
- Proficiency in SQL and Microsoft Excel.
- Understanding of entity data (firmographics/demographics).
- Ability to identify recurring data issues and support process enhancements.
- Strong communication skills and ability to work independently or collaboratively.
How to Apply
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Skills to Grow as Data Specialist
A Data Specialist at Moody’s can significantly advance their career by building deeper expertise in data governance, data quality frameworks, and analytical automation tools. Strengthening your skills in advanced SQL, Python-based data validation, and entity resolution techniques will position you for higher-level roles such as Data Quality Analyst or Data Operations Lead.
Investing in certifications like data analytics training, financial compliance courses, or cloud data management programs can greatly enhance credibility in the financial research industry. These certifications also cover high-demand areas such as data lineage tracking, automated quality checks, and regulatory data reporting—critical for roles related to credit analysis and risk management.
Familiarity with high-value tools such as Alteryx, Tableau, Power BI, and AWS data workflows can further streamline remediation tasks and improve operational efficiency. As organizations adopt smarter data ecosystems in 2025, mastering these skills will give you a competitive advantage and open pathways into roles involving data modeling, business intelligence, and enterprise data strategy.
FAQs
1. What is the salary for Moody’s Data Specialist role?
The estimated salary range is INR 7–8 LPA, based on similar roles and market trends.
2. What qualifications are required?
A degree in Commerce, Statistics, Data Science, Mathematics, Economics, or similar fields is preferred.
3. Is prior experience mandatory?
Yes, candidates should have 1–3 years of experience in data operations or validation.
4. Is this job onsite or remote?
It is a full-time onsite role based in Gurgaon.
5. What tools should a Data Specialist know?
Essential tools include SQL, Microsoft Excel, and familiarity with data quality and remediation techniques.
Disclaimer
The information provided is for educational and informational purposes only. All job details are sourced from the official website or publicly available company pages. We do not guarantee job placement and do not charge any fees for job-related information. Applicants should follow the company’s official recruitment process.
