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Raleigh, North Carolina, United States
Hybrid
Grade Level (for internal use):
08The Team:
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.
The Impact:
We provide the highest quality content that is essential for our clients to make decisions with conviction. As a 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.
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 database management, 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
Compensation/Benefits Information:
S&P Global states that the anticipated base salary range for this position is $60,000 to $80,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.
What We're Looking For:
Basic Required Qualifications:
Financial Services experience
Understanding of financial statements (Balance Sheet, Income Statement, Cash Flow) and their interrelationships
SQL 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
Analytical and problem-solving skills with attention to detail and ability to work with large, complex datasets
Additional Preferred Qualifications:
Bachelor's or Master's degree in Computer Science, Data Science, Finance, or related technical field or relevant experience.
Programming skills in Python with experience in data manipulation libraries such as pandas, numpy, or similar frameworks
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—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.
Our Values:
Integrity, Discovery, Partnership
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
Benefits:
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
Our benefits include:
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.
For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
Global Hiring and Opportunity at S&P Global:
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
Recruitment Fraud Alert:
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
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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. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
US Candidates Only: Know Your Rights: Workplace discrimination is illegal
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20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP203 - Entry Professional (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)