S&P GlobalRemote
Business Intelligence Data Analyst – Regulatory Reporting, Dow Jones Indices
United States of America
Full Time
2 weeks ago
$85,000 - $100,000 USD
No H1B
Key skills
SQLPythonRData AnalyticsCompliance ReportingRegulatory ReportingProcess AutomationData Quality AssuranceReporting Process DocumentationStakeholder PartnershipData EngineeringData WarehousingAnalyticsBIBusiness Intelligence
About this role
S&P Global is a leading provider of credit ratings, benchmarks, and analytics. They are seeking a Business Intelligence Data Analyst to focus on compliance and ensure accurate regulatory reporting while collaborating with various teams to streamline data processes and enhance reporting efficiency.
Responsibilities:
- Own the end-to-end preparation and delivery of recurring compliance reports, ensuring strict adherence to regulatory accuracy, timeliness, and documentation standards
- Serve as the primary technical liaison to Legal and Compliance teams, translating their regulatory definitions into precise internal data tags, labels, and SQL logic
- Design and build automated workflows to standardize compliance reporting, moving away from manual interventions to repeatable, code-based solutions (Python/R/SQL)
- Partner with BI and Data Engineering teams to ensure data warehousing structures and schemas support current and future compliance use cases
- Maintain comprehensive, audit-ready documentation of reporting logic, definitions, and regulatory mappings
- Translate technical reporting constraints and data nuances into clear, accessible language for non-technical stakeholders
- Implement and maintain robust data quality checks specific to compliance reporting to ensure consistency and traceability
- Assist the broader Business Intelligence team with commercial reporting projects and data analysis during non-peak compliance cycles
Requirements:
- 3+ years of experience in data analytics, compliance reporting, or regulatory operations
- Strong technical proficiency in SQL and at least one scripting language (R or Python) is required
- Proven ability to work with high-stakes data where precision is mandatory
- Excellent communicator, able to fully manage relationships with internal partners
- Experience building, documenting, and optimizing repeatable reporting processes
- Experience designing data tagging and labeling frameworks for regulatory or audit use, especially using LLMs
- Familiarity with regulatory reporting requirements specifically within financial services or asset management
- Exposure to international financial regulatory frameworks