Lead Data Analyst
S&P Global, Inc., Boulder, CO, United States
About the Role
Grade Level (for internal use):
08
The Team:
The Data/Content Management team delivers and maintains accurate, complete, and timely financial datasets while leveraging AI and automation technologies. Our team of technical data analysts works on research reports and company documents to collect information and generate insights from data. We support Compustat Fundamentals and other critical business lines, focusing on innovation through AI/LLM tools and advanced analytics to meet clients\' evolving needs.
The Impact:
We provide high-quality content essential for clients to make decisions with conviction. As a Lead Data Analyst, you will support the integrity and comprehensiveness of datasets by utilizing Python, SQL, and AI/LLM technologies to automate data collection, analysis, and standardization from sources including regulatory documents, earnings reports, and market publications.
What\'s in it for you:
Work with cutting-edge AI and machine learning technologies in the financial data space
Develop advanced technical skills in Python programming, SQL, and AI/LLM implementation
Gain comprehensive understanding of global financial markets while building automated solutions
Opportunity to lead process improvement and automation projects that directly impact business efficiency
Collaborate with cross-functional teams on innovative data solutions and emerging technologies
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
Qualifications
Basic Required Qualifications:
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
Additional Preferred Qualifications:
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
Right to Work Requirements
This role is limited to persons with indefinite right to work in the United States.
What\’s In It For You
Our Mission: Advancing Essential Intelligence.
Our People: We\'re more than 35,000 strong worldwide. We value curiosity, diversity of perspective, and collaboration. We are committed to a more equitable future and helping customers find sustainable ways to do business.
Our Values: Integrity, Discovery, Partnership.
Benefits
We provide comprehensive benefits to support you and your career. Our benefits include:
Health & Wellness: Health care coverage designed for the mind and body
Flexible Downtime: Generous time off
Continuous Learning: Resources to grow your career
Invest in Your Future: Competitive pay, retirement planning, education program with company-matched student loan contribution, and financial wellness programs
Family Friendly Perks: Perks for partners and children
Additional Perks: Discounts and incentives
For more information on benefits by country, consider visiting the official benefits site.
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. If you need an accommodation during the application process due to a disability, please email EEO.Compliance@spglobal.com. US Candidates Only: Know Your Rights: Workplace discrimination is illegal.
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Grade Level (for internal use):
08
The Team:
The Data/Content Management team delivers and maintains accurate, complete, and timely financial datasets while leveraging AI and automation technologies. Our team of technical data analysts works on research reports and company documents to collect information and generate insights from data. We support Compustat Fundamentals and other critical business lines, focusing on innovation through AI/LLM tools and advanced analytics to meet clients\' evolving needs.
The Impact:
We provide high-quality content essential for clients to make decisions with conviction. As a Lead Data Analyst, you will support the integrity and comprehensiveness of datasets by utilizing Python, SQL, and AI/LLM technologies to automate data collection, analysis, and standardization from sources including regulatory documents, earnings reports, and market publications.
What\'s in it for you:
Work with cutting-edge AI and machine learning technologies in the financial data space
Develop advanced technical skills in Python programming, SQL, and AI/LLM implementation
Gain comprehensive understanding of global financial markets while building automated solutions
Opportunity to lead process improvement and automation projects that directly impact business efficiency
Collaborate with cross-functional teams on innovative data solutions and emerging technologies
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
Qualifications
Basic Required Qualifications:
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
Additional Preferred Qualifications:
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
Right to Work Requirements
This role is limited to persons with indefinite right to work in the United States.
What\’s In It For You
Our Mission: Advancing Essential Intelligence.
Our People: We\'re more than 35,000 strong worldwide. We value curiosity, diversity of perspective, and collaboration. We are committed to a more equitable future and helping customers find sustainable ways to do business.
Our Values: Integrity, Discovery, Partnership.
Benefits
We provide comprehensive benefits to support you and your career. Our benefits include:
Health & Wellness: Health care coverage designed for the mind and body
Flexible Downtime: Generous time off
Continuous Learning: Resources to grow your career
Invest in Your Future: Competitive pay, retirement planning, education program with company-matched student loan contribution, and financial wellness programs
Family Friendly Perks: Perks for partners and children
Additional Perks: Discounts and incentives
For more information on benefits by country, consider visiting the official benefits site.
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. If you need an accommodation during the application process due to a disability, please email EEO.Compliance@spglobal.com. US Candidates Only: Know Your Rights: Workplace discrimination is illegal.
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