CareerPlan

Data Analyst

Raleigh, North Carolina; Englewood, Colorado; Dallas, TexasFull-time$60k2026-09-09 → 2026-09-10
Based in United States

Core

Design and implement automated data collection workflows using Python and AI/LLM tools to extract, process, and standardize financial data from regulatory filings, earnings reports, and market documents.

Role type

Data Analyst (Financial Data & AI Automation)

Builds

Automated data pipelines and standardized financial datasets for Compustat Fundamentals

Domain

Financial Services / Data Engineering / AI/LLM

Deliverable

production ML models

Required skills

Python, SQL, AI/LLM tools (OpenAI APIs, Hugging Face, LangChain), Financial statement analysis, Data extraction from unstructured documents

Preferred skills

Machine learning frameworks (scikit-learn, TensorFlow, Pytorch), Cloud platforms (AWS, Azure, GCP), Data visualization (Tableau, Power BI, matplotlib, seaborn), US GAAP reporting standards

Technologies

Python, SQL, OpenAI APIs, Hugging Face, LangChain, pandas, numpy, scikit-learn, TensorFlow, Pytorch, AWS, Azure, Google Cloud, Tableau, Power BI, matplotlib, seaborn

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.

Seniority

Individual Contributor