Data Analyst

Overview

On Site
$70 - $80
Contract - W2
100% Travel

Skills

Cortex AI
Snowflake

Job Details

Job Title: Data Analyst

Multiple Locations: Chicago/Atlanta/NYC/NJ/ Cleveland, OH

Mode of work: Onsite

Primary skills: Cortex AI, Snowflake, Python, LLM

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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