Analyst I, Agentic Search

• Data Analysis & Performance Diagnostics: Analyze large, nuanced datasets from LLM optimization platforms to diagnose what is working, what is not, and where search visibility can be improved.

• Data Analysis & Performance Diagnostics: Analyze large, nuanced datasets from LLM optimization platforms to diagnose what is working, what is not, and where search visibility can be improved.
• Market & Competitor Trend Tracking: Maintain a proactive external view of relevant digital topics, retailer landscapes, and competitor movements to surface emerging generative search trends for internal teams.
• Strategic Planning & Prioritization: Translate complex, rapidly evolving AI engine outputs into prioritized, phased optimization plans that focus resources on the highest-value business opportunities.
• Cross-Functional Implementation: Coordinate closely with cross-functional partners to support the accurate, timely execution of approved optimization initiatives.
• Stakeholder Reporting & Capability Building: Track optimization outcomes, maintain organized reporting, and surface risks and follow-up opportunities to stakeholders while documenting learnings to refine the team's analytical approach over time.
• Stay current on industry trends and consumer behavior insights, applying knowledge to refine and inform AI search optimization strategies.

• Bachelor's degree in Marketing, Digital Marketing, Computer Science, IT, Data Analytics, or a related field, with an MBA in Marketing / International Business.

• Bachelor's degree in Marketing, Digital Marketing, Computer Science, IT, Data Analytics, or a related field, with an MBA in Marketing / International Business.
• 1-3 years of experience in AI Marketing Agents, AI Search Optimization, AEO, GEO, LLM-based search, SEO, organic search, content optimization or digital marketing
• Familiarity with ChatGPT, Gemini/Google AI Overviews, Claude, Perplexity and concepts such as LLMs, RAG and AI citations.
• Strong analytical, communication, project management and stakeholder-management skills.
• Ability to generate actionable insights to optimize brand strategy execution.
• Strong analytical, problem-solving, and data interpretation skills.
• Proficient in the use of Microsoft Excel, Navigating Tableau dashboards, R/SQL a plus

• Experience with tools such as Google Search Console, GA4, Semrush/Ahrefs and Screaming Frog.
• Strong understanding of search relevance, ranking, personalization, and evaluation metrics.
• Data-driven approach to experimentation, performance monitoring, and continuous improvement.
• Ability to translate business needs into scalable search solutions and product roadmaps.
• Strong stakeholder management, communication, and cross-functional leadership skills.