Senior Data Analyst AI/LLM, Python & Snowflake

Artech
Austin, TX, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$114,400.0 - $118,560.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Analysis Big Data Data Architecture Data Files Data Presentation Github Data Intelligence Python (Programming Language) PostgreSQL NumPy Reference Data
+13 more
SQL Databases Tableau (Software) Scripting Large Language Models Claude Code Snowflake Agentic-AI Pandas Data Analytics Star Schema Data Management Virtual Agents Amazon Redshift

Requirements

Data Analysis, Python Programming/Scripting Language, Snowflake Schema, Artificial Intelligence (AI), Consulting, Business Analysis, Data Analysis, Data Management, Business Skills, Data Sets, * 6-10 years of experience in data analytics, business analysis, data consulting or data management, with a proven ability to influence business decisions.

  • Advanced SQL expertise, with the ability to query and optimize large, complex datasets.
  • Proficiency in Python for data analysis, transformation and automation (Pandas, NumPy).
  • Hands-on experience building with AI/LLM tools: agents, prompt and skill design, tool calling, or agentic coding assistants (e.g., Claude Code).
  • Experience building dashboards with AI-assisted or similar visualization frameworks for data storytelling.
  • Deep understanding of data architecture and governance.
  • Proven track record of identifying and scoping new data use cases and converting insights into business recommendations.
  • Strong analytical thinking, stakeholder management and communication skills, including comfort presenting to senior business leaders.
  • Experience with Tableau, Snowflake and AI/LLM environments.
  • Familiarity with D&B data hierarchy, enrichment or similar reference data systems.
  • Experience with sales, channel or pipeline data in a B2B or education context is a plus.

Environment & Tooling Stack

  • SQL (Snowflake, PostgreSQL, Redshift)
  • Python (Pandas, NumPy, automation scripting)
  • AI agent and skill frameworks (e.g., Claude Code, MCP integrations)
  • AI-assisted visualization and Tableau
  • GitHub for version control

Must-Have Experience

  • Must Have 7+ years of experience in Artificial Intelligence (AI).

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