[Hiring] Quality and Data Governance Analyst II @S&P Global

Role Description

This Remote role will require you to work only in USA EST hours/India night shift (6PM-3AM IST).

The Data Quality team is responsible for ensuring data quality and consistency in source and parsed data for better and trusted deliverables.

The Data Quality team plays a crucial role in delivering accurate, consistent and reliable data to the clients. As a part of the Data Quality Team, the candidate will work on Global Automotive space to ensure and provide relevant and insightful details regarding various automotive entities.

We are looking for a dynamic team member who is eager to rapidly learn and develop strong analytical skills to interpret data. In this role, you’ll play a central part in improving enterprise data quality, with a strong focus on Source business data and reference data processes that are critical to our business operations. You’ll have the opportunity to expand your technical and business expertise by working closely with diverse groups across the organization, including data, operations, and vendor partners, while building valuable skills in data investigation, issue resolution, and process improvement within a global automotive market context.

Responsibilities

• Oversee source data processes within enterprise tools, ensuring data quality and consistency.
• Monitor system-generated exceptions and variations in source data and key data fields, applying business standards and governed corrections.
• Create and monitor internal data quality audits (AWS Quick-sight, Tableau, Power BI), document findings, and review corrective actions with business owners.
• Interact with various stakeholders to resolve questions, troubleshoot issues, and validate fixes.
• Use SQL to review data and run queries for validation, research, and troubleshooting purposes.
• Create, review and interpret Python scripts used in enterprise to support troubleshooting and code reviews; make updates as needed.
• Monitor services deployed on Cloud, ideate for new solution and make updates as needed.

Qualifications

• Bachelor’s degree in a related field or equivalent combination of education and experience.
• Minimum 3 years of relevant experience in data quality, analytics, or related disciplines.
• Ability to work independently and collaboratively across teams and domains.
• Strong analytical, problem-solving, and communication skills.
• Proficiency with Microsoft Office (Excel, Word, Access).
• Good knowledge of SQL: Ability to read, understand, and create database queries for data validation and troubleshooting.
• Working knowledge of Python: Comfortable creating, interpreting and reviewing Python scripts to support data processes.
• Experience with data visualization tools (such as Tableau, Power BI, and AWS Quick-Sight).
• Experience with Cloud services (AWS) is a plus.

Benefits

• Health & Wellness: Health care coverage designed for the mind and body.
• Flexible Downtime: Generous time off helps keep you energized for your time on.
• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families.
• Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.