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
Job source
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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