Description

Required Skills & Qualifications

• 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

Key Skills

Education

Bachelor's degree