Senior Data Quality Analyst

Job expired!

Join S&P Global as a Senior Data Quality Analyst!

About the Role

Grade Level: 10

As a Senior Data Quality Analyst, you'll be a key player in S&P Global Commodity Insight’s mission to transform from a traditional data organization into a cutting-edge data intelligence organization. Your role will be crucial in ensuring high-quality, trusted data across the organization by improving data quality dimensions for critical data assets. This position requires collaboration with stakeholders, analysts, and international team members.

The Impact

Your efforts will contribute to major strategic initiatives to enhance our market leadership, developing next-generation market data, insights, and analytics products. You will drive our linked data and data mining strategy by using advanced technology, ultimately supporting organizational and operational change.

Key Responsibilities:

  • Manage day-to-day operational execution of data quality priorities including data quality rules, anomaly detection, validation, and issue resolution.
  • Translate business requirements into data quality requirements, validate results, and coordinate issue resolution with data subject matter experts.
  • Partner with technical teams to prioritize data sets for ingestion into data quality tools and ensure proper setup.
  • Author and execute reusable custom data quality rules.
  • Capture data-driven metrics to highlight business value and improvement opportunities.
  • Pursue data quality integration and automation within internal applications and dashboards.
  • Contribute to data quality and governance standards by improving best practices and advancing data platforms.
  • Advocate for achieving fit-for-purpose data quality and program objectives in new projects.
  • Engage with stakeholders and data stewards through training, education, and knowledge sharing.
  • Stay updated on industry trends within data quality and broad data management.

Qualifications:

  • 5+ years of experience in data management with a focus on data quality, including data profiling, rule development, and automation.
  • 2+ years of experience with data quality tools such as soda.io, Great Expectations, or Informatica IDQ.
  • Proficiency in SQL and strong experience in Python/pyspark for data analysis and automation.
  • Strong experience with Power BI reporting tools.
  • Working knowledge of Airflow is a plus.
  • Excellent written and verbal communication skills in English.
  • Familiarity with agile development lifecycle frameworks and tools like Jira or Rally.
  • Ability to work effectively as part of an international team and independently.
  • Thrive in fast-paced environments with strong problem-solving skills.

About S&P Global Commodity Insights

At S&P Global Commodity Insights, we provide a comprehensive view of global energy and commodities markets, helping our clients make informed decisions and create sustainable value. As the leading provider of credit ratings, benchmarks, analytics, and workflow solutions, S&P Global (NYSE: SPGI) supports many of the world's top organizations in navigating economic landscapes.

For more information, visit .

What’s In It For You?

Our Purpose:

Progress requires a catalyst. At S&P Global, we combine information, technology, and imagination to drive change and unlock possibilities, helping our clients make an impact.

Our People:

With over 35,000 professionals worldwide, we offer both broad perspectives and nuanced understanding. We seek innovative solutions for sustainability, energy transition, and workflow efficiency, aiming for a more equitable future and impactful client outcomes.

Our Values:

Integrity, Discovery, Partnership—these values guide us. We provide essential intelligence that powers confident decisions, always rooted in integrity, driven by curiosity, and executed in collaboration with our clients.

Benefits

We offer comprehensive benefits to ensure you thrive:

  • Health & Wellness: Extensive healthcare coverage for mind and body.
  • Flexible Downtime: Generous time off to keep you energized.
  • Continuous Learning: Resources to grow your career and learn new skills.
  • Invest in Your Future: Competitive pay