Lead Data Analyst

S&P Global • Englewood, CO

1d

About The Position

The Data/Content Management team delivers and maintains accurate, complete, and timely financial datasets while leveraging cutting-edge AI and automation technologies. Our team of technical data analysts works on various research reports and company documents to collect information and generate meaningful insights from data. We support Compustat Fundamentals and other critical business lines, focusing on innovation through AI/LLM tools and advanced analytics to meet our clients' evolving needs. We provide the highest quality content that is essential for our clients to make decisions with conviction. As a Lead Data Analyst, you will support the integrity and comprehensiveness of datasets by utilizing advanced technical tools including Python, SQL, and AI/LLM technologies to automate data collection, analysis, and standardization processes from various sources including regulatory documents, earnings reports, and market publications.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Finance, or related technical field with 1-3 years relevant experience
• Strong programming skills in Python with experience in data manipulation libraries such as pandas, numpy, or similar frameworks
• Proficiency in SQL and database management systems including query optimization and data modeling techniques
• Experience with AI/LLM tools and frameworks such as OpenAI APIs, Hugging Face, LangChain, or similar natural language processing technologies
• Solid understanding of financial statements (Balance Sheet, Income Statement, Cash Flow) and their interrelationships
• Strong analytical and problem-solving skills with attention to detail and ability to work with large, complex datasets

Nice To Haves

• Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch for data analysis and automation
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud for data processing and AI model deployment
• Familiarity with data visualization tools like Tableau, Power BI, or Python libraries such as matplotlib and seaborn
• Understanding of US GAAP reporting standards and financial data standardization processes

Responsibilities

• Design and implement automated data collection workflows using Python and AI/LLM tools to extract, process, and standardize financial data from various sources including regulatory filings, earnings reports, and market documents
• Develop and maintain SQL queries and database solutions to ensure data integrity, accuracy, and efficient retrieval for Compustat Fundamentals and other financial datasets
• Leverage large language models and natural language processing techniques to analyze unstructured financial documents, extract key business insights, and automate data classification processes
• Build and optimize Python-based data pipelines that integrate with existing research tools and databases, reducing manual effort while improving data quality and processing speed
• Collaborate with cross-functional teams to identify opportunities for AI-driven process improvements and implement technical solutions that enhance research efficiency and accuracy
• Monitor and troubleshoot automated systems, ensuring consistent performance and implementing enhancements based on evolving business requirements and emerging AI technologies

Benefits

• Health care coverage designed for the mind and body.
• Generous time off helps keep you energized for your time on.
• Access a wealth of resources to grow your career and learn valuable new skills.
• Competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• Perks for your partners and little ones, too, with some best-in class benefits for families.
• Retail discounts
• Referral incentive awards

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees