8 12 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.
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 v
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90969158
- Position Id: 2026-5072/41436
- Posted 4 hours ago
