Overview
On Site
Depends on Experience
Contract - W2
Contract - 1 Year(s)
Skills
Analytical Skill
Artificial Intelligence
Banking
Collaboration
Computer Science
Dashboard
Data Analysis
Data Governance
Data Quality
Data Structure
Decision-making
Finance
Insurance
Large Language Models (LLMs)
Mathematics
Meta-data Management
Ontologies
Python
Research
SQL
Semantics
Snow Flake Schema
Soft Skills
Statistics
Unstructured Data
Virtual Team
Job Details
Job Title: Data Analyst Cortex AI
Multiple Locations: Chicago/Atlanta/NYC/NJ/ Cleveland, OH
Mode of work: Onsite
Primary skills: Cortex AI, Snowflake, Python, LLM
Note: Only on W2
Experience: 10+ years
We are looking for an experienced Data Analyst with a strong background in Large Language Models (LLMs), Cortex AI, SQL, Python, and Snowflake.
- Analyze large volumes of structured and unstructured data using SQL, Python, and Snowflake.
- Leverage LLM and Cortex AI platforms to derive insights and support intelligent data analysis.
- Build and maintain dashboards, reports, and visualizations to support business decision-making.
- Work closely with business and technical teams to identify data needs, define metrics, and ensure data quality.Who has experience preparing datasets for LLM-based applications, Retrieval-Augmented Generation (RAG) or chatbot systems.
- Who is comfortable working with structured and semi-structured insurance data to build curated knowledge inputs.
- Who can annotate fields, data structures, documents, create prompt-response structures, and support semantic chunking strategies.
- Who can contribute to the development of our semantic model, including defining taxonomies, ontologies, and synonym sets for insurance concepts.
- Who is proficient in SQL (Snowflake preferred) and able to extract and transform content from large data systems.
- Who understands how LLMs retrieve and process contextual information, including embedding logic and metadata tagging.
- Who is familiar with data governance best practices, especially in regulated domains like insurance, banking, or finance.
- Who has completed a quantitative course such as Mathematics, Statistics, or Computer Science/Engineering. (Preferred, not necessary)
Soft Skills:
- Analytical Thinking: Strong ability to identify patterns, gaps, and inconsistencies in large data sets.
- Research Skills: Able to explore domain-specific terminology and translate it into structured knowledge.
- Collaboration: Comfortable working closely with engineering, data, and domain SMEs in a distributed team.
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