About the Role:

Grade Level (for internal use):

08

Role Scope

The Data Quality Specialist is an individual contributor responsible for ensuring accurate, complete, and product ready data across multiple datasets. The role goes beyond routine checks to perform deeper trend and pattern analysis, identifying systemic quality issues and recurring failure points. It contributes to the design and improvement of data quality processes, controls, and validation frameworks. The specialist supports cross dataset validations and works closely with data producers, data stewards, and partner teams to drive effective root cause analysis and remediation. By strengthening standards, improving detection, and enabling consistent execution, the role plays a critical part in enhancing data reliability and trust for downstream products, analytics, and operational use.

What You’ll Do (Key Responsibilities) 

Operations Excellence

• Perform sampling, second‑level fact checks, product validations, and cross‑dataset trends and pattern analysis to identify data quality issues for multiple datasets.
• Applies data quality judgment in AI assisted environments, validating and reconciling outputs generated by hybrid human and agent workflows to ensure trust, explainability, and adherence to defined quality controls.
• Produce clear, actionable reports and dashboards outlining data quality scores, error rates, trends, and risks for stakeholder consumption and decision‑making.
• Identify, document, and escalate anomalies and gaps with appropriate context, supporting root‑cause analysis and downstream investigation.
• Execute timely, quality‑driven resolution of assigned data or client query jobs by following established SOPs, workflows, and SLA requirements.
• Accurately document attributes and changes in workflow systems, adhere to defined escalation paths, and support validation, testing, and remediation activities for fixes and enhancement

Process Excellence

• Proposes enhancements to validation rules, quality checks, and monitoring frameworks by analyzing anomalies, recurring issues, and defect patterns across datasets.
• Provides guidance and mentorship to Level 1 specialists on data quality methodologies, testing best practices, and analytical approaches.
• Maintains clear and structured documentation of checks, procedures, and insights to support standardization, audit readiness, and knowledge sharing.
• Delivers strategic insights for monthly reporting and retrospective reviews, highlighting trends, risks, and improvement opportunities.
• Contributes to strategic initiatives by identifying procedure and audit improvement opportunities and supporting process enhancements, pilots, and change implementations.

Stakeholders Management

• Communicates fixes and provides timely, clear updates to customers and internal stakeholders, effectively managing expectations throughout the case lifecycle.
• Flags data issues to Operations and Product teams with appropriate context, collaborating on validation, remediation, and root‑cause analysis.
• Gathers and synthesizes Voice of Customer (VOC) inputs by highlighting recurring product gaps, data defects, and quality‑impacting trends.
• Serves as a subject‑matter support resource for interns and new joiners, mentoring them on process workflows, data quality methods, and execution best practices.
• Ensure consistent follow‑through on escalations and resolutions by coordinating stakeholders and maintaining clear documentation and communication trails.

How Impact Will Be Measured (Success Metrics)

• Maintain assigned KPIs.
• Collaborate with Ops and Steward to deliver high‑quality root‑cause analysis (RCA) with clear and actionable insights.
• Demonstrate consistent anomaly detection volume, identifying meaningful patterns early.
• Show reduction in client‑reported errors through improved data checks and issue prevention.
• Contribute to closure of process gaps and adoption of quality‑by‑design improvements that reduce recurring defects.

For This Role You'll Need to Have (Skills & Competencies)   

Technical Skills

• Moderate knowledge of SQL/Python for running queries, validating fields, and investigating anomalies.
• Foundational understanding of GenAI Tools, Prompting.
• Proficiency in Microsoft Excel for data manipulation, lookups, pivots, and quality‑control analysis.
• Experience using quality‑assurance (QA) tools for manual and automated validation.
• Ability to use data visualization tools such as Power BI or Tableau to create dashboards and convey data quality insights.
• Possess basic product knowledge to understand assigned datasets, workflows, and common data issues during validation.
• Follows product documentation and SOPs to assess data issues and escalate gaps appropriately.

Functional Skills

• Ability to perform data validation, audit checks, exception reviews, and sampling‑based evaluations across datasets.
• Ability to apply sampling frameworks to detect patterns, anomalies, and recurring defects.
• Capability to interpret trends, identify quality issues, and propose improvements based on insights.

Behavioral Skills

• Attention to detail in executing checks and documenting issues.
• Curiosity to investigate anomalies and understand underlying causes.
• Accountability for assigned deliverables and follow‑through on remediation.
• Clear communication and ownership when working with cross‑functional partners and presenting findings.
• Demonstrates strong learning agility and digital acumen, with a continuous learning mindset and the ability to adapt to evolving tools and technologies.

Preferred Education & Experience

• 2+ years of experience in data quality, data analysis, or data operations roles, with demonstrated exposure to multi‑dataset quality assessment and advanced validation techniques.

Key Interfaces & Interactions

• Data Research & Operations Team
• Product Teams
• Technology Teams
• Data Stewards

What’s In It For You?

Our Mission:

Advancing Essential Intelligence.

Our People:

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values:
Integrity, Discovery, Partnership

Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.

Our benefits include: 

• 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.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to [email protected]. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.

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Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.  Only electronic job submissions will be considered for employment.  

 

If you need an accommodation during the application process due to a disability, please send an email to: [email protected] and your request will be forwarded to the appropriate person.  
 
US Candidates Only: Know Your Rights: Workplace discrimination is illegal

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203 - Entry Professional (EEO Job Group) (inactive), 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP203 - Entry Professional (EEO Job Group)