Competitive Intelligence Analyst

Responsibilities

• Own competitive intelligence gathering and analysis for Databricks (primary) and Google BigQuery and IBM, delivering actionable insights that drive business decisions
• Conduct comprehensive research using both internal sources (sales teams, product teams) and external sources (social media, competitor websites, industry analysts, conferences)
• Apply GenAI tooling — including Claude, Copilot, Gemini, and Crayon — to accelerate research workflows, expand coverage capacity, and maintain consistent analytical output across the coverage portfolio
• Create and maintain structured prompt libraries for repeatable CI research and content development workflows
• Maintain and evolve the competitive intelligence knowledge base
• Present competitive insights and recommendations to executive leadership

Requirements

• Bachelor's degree in a related field (Business, Marketing, Technology, or similar)
• 5+ years of experience in competitive intelligence, market research, product marketing, or industry analysis
• Understanding of the modern data and AI landscape — analytical platforms, machine learning infrastructure, and agentic AI architectures
• Hands-on familiarity with GenAI tooling as a research and productivity methodology — including large language models, prompt engineering, and agentic monitoring platforms such as Crayon
• Experience with the enterprise software sales cycle and competitive deal dynamics
• Proven track record of enabling sales teams in competitive situations
• Knowledge of the cloud ecosystem including public cloud, hybrid, and on-premises environments

Qualifications

• Strong analytical mindset with the ability to transform complex data into actionable insights — and the discipline to verify AI-generated research before it enters the work product
• Excellent communication skills, both written and verbal, with proven presentation abilities to executive audiences
• Strategic thinking and prioritization capabilities across a multi-vendor coverage portfolio
• Project management expertise to handle multiple concurrent initiatives
• Research proficiency using both qualitative and quantitative methodologies, including AI-augmented research techniques
• Working knowledge of GenAI tooling — including large language models, prompt engineering, and agentic monitoring platforms — as applied research and productivity tools
• Ability to build strong relationships across organizational functions
• Understanding of data architectures, particularly cloud-native analytics platforms, agentic AI architectures, and vector datastores