Data Analyst

S&P Global

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Raleigh, NCEnglewood, CODallas, TX
Salary
$60,000–$80,000 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday
Closes
Sep 9, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $144k
This role $70k
$46k most similar roles pay here $190k

This role pays less than 99% of similar roles. Most pay $126,750–$162,000 — the shaded band above. At the midpoint, this role pays about $70k versus about $144k for comparable roles.

Based on 240 similar postings.

Employer

About S&P Global

S&P Global delivers Essential Intelligence® that shapes decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead.

S&P Global currently has 46 open roles on FindRole.

Listed pay typically runs $142,000–$200,000 across 37 roles with salary data.

Most-posted roles

View all roles at S&P Global

At a glance

TL;DR · Data Analyst

As a Data Analyst on the Data/Content Management team, you will ensure the integrity and comprehensiveness of financial datasets like Compustat Fundamentals. You will work daily to collect information from regulatory documents, earnings reports, and market publications while building automated data collection workflows and pipelines. The role involves utilizing Python, SQL, and AI/LLM technologies, including frameworks such as LangChain or OpenAI APIs, to automate data extraction, processing, and standardization. You will also apply natural language processing techniques to analyze unstructured financial documents and extract key business insights. To succeed, you must possess a strong understanding of financial statements, including balance sheets and income statements, alongside technical proficiency in database management and Python libraries like pandas and numpy. This role solves the challenge of transforming complex, raw financial data into high-quality content for critical decision-making.

What does a Data Analyst earn?

Median $127950 from 39 postings across 21 companies.

See salary data

What you'll do

  • Design and implement automated data collection workflows using Python and AI/LLM tools.
  • Develop and maintain SQL queries to ensure data integrity and efficient retrieval for financial datasets.
  • Use large language models and NLP techniques to extract insights from unstructured financial documents.
  • Build and optimize Python-based data pipelines to reduce manual effort and improve processing speed.
  • Identify and implement AI-driven process improvements to enhance research efficiency and accuracy.
  • Monitor and troubleshoot automated systems to ensure consistent performance based on evolving requirements.

What we're looking for

  • Must have experience in the financial services industry.
  • Must understand financial statements including balance sheets, income statements, and cash flow.
  • Must possess SQL database management skills including query optimization and data modeling.
  • Must have experience with AI/LLM tools and frameworks such as OpenAI APIs, Hugging Face, or LangChain.
  • Must possess analytical problem-solving skills to work with large, complex datasets.
  • Must have an indefinite right to work in the United States.
  • Bachelor's or Master's degree in Computer Science, Data Science, Finance, or a related technical field (preferred).
  • Proficiency in Python and experience with machine learning frameworks or cloud platforms (preferred).

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