Product Analyst | Large Language Models | SQL | Python | Analytics | LLM | Remote, US

Product Analyst | Large Language Models | SQL | Python | Analytics | LLM | Remote, US

Job Summary

The Lead Analyst, Product Innovation drives the application of AI-enabled, data-driven capabilities across a complex operational domain. This role focuses on leveraging Large Language Models (LLMs), Python-based cloud AI solutions, and modern data platforms to enhance analytics, streamline processes, and enable intelligent automation.

The Lead Analyst partners with product managers, engineers, data specialists, and operational stakeholders to assess business problems, explore feasibility, build prototypes, and evaluate impact. The role requires strong analytical capability, domain fluency in operational workflows, technical proficiency with Python and cloud data ecosystems, and the ability to translate complex findings into actionable recommendations. This position supports innovation initiatives by defining opportunities, validating data, contributing to AI-enabled workflows, and shaping solution requirements.

Core Competencies & Responsibilities

Domain & Business Understanding

• Applies strong knowledge of end-to-end operational workflows, pain points, and regulatory or governance considerations.
• Identifies viable opportunities for analytics, automation, and LLM-enabled improvements.

Applied AI & LLM Solutioning

• Uses practical experience with Generative AI and LLM applications (e.g., prompt engineering, retrieval-augmented generation, Python-based prototypes).
• Focuses on applied problem-solving rather than advanced machine learning research.

Technical Execution (Python + SQL + Cloud Platforms)

• Builds prototypes leveraging Python, SQL, cloud-based LLM services, and modern data platform tools.
• Partners with engineering and data teams to validate data, refine requirements, and ensure scalable design.

Analytical Problem Solving

• Breaks down complex problems, analyzes root causes, and structures analytical approaches.
• Uses quantitative evidence to support recommendations.

Cross-Functional Collaboration

• Works closely with operations, product, engineering, and data teams.
• Contributes to requirements definition, design reviews, and prototype evaluations.

Clear Communication

• Synthesizes complex analyses into clear insights, summaries, and stakeholder-ready outputs.

Essential Job Functions

• Analyze current operational workflows to identify opportunities for LLM-based automation, analytics enhancements, or process optimization.
• Conduct exploratory data analysis and develop Python-based AI prototypes using cloud services.
• Evaluate LLM output quality, test and refine prompts, and support technical teams in shaping production-ready requirements.
• Participate in the design and testing of generative AI prototypes, retrieval-based workflows, intelligent agents, and AI-enabled decision support tools.
• Prepare insights, feasibility assessments, and recommendations to inform product direction and business case development.
• Assess new data sources, validate data quality, and ensure compliance with internal governance and regulatory standards.
• Support cross-functional working sessions, requirements gathering, and documentation of solution designs.

Desired Experience & Education

• Experience: 3–5 years in analytics, data-driven problem solving, or AI/automation-focused roles.
• People Leadership: Not required.
• Education: Bachelor’s degree or equivalent practical experience.
• Preferred Study Areas: Computer Science, Analytics, or related disciplines.

Product Analyst | Large Language Models | SQL | Python | Analytics | LLM | Remote, US