[Hiring] Lead Data Analyst @S&P Global

Role Description

The Data Research Associate is an individual contributor role that develops foundational proficiency in one or more workflows or datasets. The role supports end-to-end data lifecycle activities including sourcing, basic validation, enrichment, and delivery under guidance, adhering strictly to standard operating procedures (SOPs) and set guidelines, and escalating deviations for a defined dataset or workflow. The role emphasizes building strong data literacy and operational discipline, learning industry concepts, and collaborating with other data research teams. Associates contribute to UAT and day-to-day solutioning, follow established standards, and participate in continuous process improvement and the adoption of technology and AI-enabled workflows.

What You’ll Do (Key Responsibilities)

• Operational Delivery:
  • Execute day-to-day data collection, extraction, and basic cleansing for Compustat Fundamentals datasets from structured and unstructured sources including regulatory filings, earnings reports, and vendor feeds.
  • Follow established SOPs for data sourcing, tagging, and loading while ensuring required metadata and quality checks are completed accurately and within defined timelines.
  • Perform first-level data validation checks to ensure completeness and accuracy of financial records by applying predefined business rules, duplicate checks, and reconciliations.
  • Support the integrity of global financial datasets covering public companies by maintaining accurate documentation and enabling traceability through workflow tools.
  • Collaborate with team members and escalate exceptions or anomalies promptly with evidence and recommended solutions to ensure data quality standards are met.
  • Contribute to process improvement initiatives by identifying minor operational pain points and suggesting incremental enhancements for senior review.
• Stakeholder Management:
  • Coordinate with immediate team members to clarify requirements and resolve day-to-day data issues.
  • Share timely updates with senior team members on production volumes, issues, and delays.
  • Participate in team stand-ups, huddles, and calibration sessions to align priorities, quality expectations, and standards.

How Impact Will Be Measured (Success Metrics)

• Percentage of tasks completed within defined SLAs for volume and timeliness.
• First-pass data quality outcomes (accuracy and completeness) and reduction in repeat errors.
• Adherence to SOPs and documentation standards, reflected in clean audits and zero critical deviations.
• Responsiveness to feedback and learning velocity, including effective queue management during peak periods.
• Handover/documentation completeness at 100% for assigned queues (steps, sources, checks, evidence).

Qualifications

• Technical Skills:
  • Familiarity with structured/unstructured data formats (Excel, PDFs, filings, news, vendor feeds, etc).
  • Beginner knowledge of SQL/Excel for querying, filtering, and reconciling data.
  • Awareness of automation and GenAI tools; ability to follow prescribed usage patterns.
  • Exposure to data lifecycle concepts (source → ingest → validate → publish).
• Functional Skills:
  • Basic understanding of financial/market or domain data concepts relevant to the assigned dataset.
  • Ability to perform data entry, tagging, and basic enrichment accurately.
  • Capability to read and interpret simple source materials (e.g., filings, vendor feeds, news).
  • Structured escalation of exceptions with appropriate evidence and context.
  • Ability to quickly learn and work with enterprise data capture tools, workflow systems, and ticketing platforms.
• Behavioral Skills:
  • Strong attention to detail and operational discipline; balance speed with accuracy.
  • Learning agility and openness to feedback and coaching.
  • Clear communication and collaboration during team interaction.
  • Accountability for own work queues with proactive risk identification.
  • Comfort working with repetitive tasks while maintaining accuracy.
  • Proactive & growth mindset in improving the product and operations.
  • Demonstrates strong learning agility and digital acumen, with a continuous learning mindset and the ability to adapt to evolving tools and technologies.

Requirements

• Bachelor's degree in Finance, Commerce, Economics, Accounting, or related field from an accredited institution.
• 0-3 years of experience in financial data operations, research, or related analytical roles (including internships and fresh graduates).
• Strong understanding of financial statements including Balance Sheet, Income Statement, and Cash Flow statements and their interrelationships.
• Proficiency in MS Office applications, particularly Excel for data manipulation, analysis, and basic reporting functions.
• Experience with database tools such as SQL for querying, filtering, and reconciling financial data within established guidelines.
• Excellent attention to detail with ability to follow SOPs precisely and maintain data quality standards consistently.

Additional Preferred Qualifications

• Knowledge of US GAAP or international financial reporting standards and their application in data standardization processes.
• Familiarity with financial data platforms such as Bloomberg, Reuters, or similar market data systems.
• Experience with automation tools including Python programming basics or advanced Excel functions such as macros for process efficiency.
• Understanding of global financial markets and public company reporting requirements across different jurisdictions.

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.