[Remote] Product Analyst | Large Language Models | SQL | Python | Analytics | LLM | Remote, US
Note: The job is a remote job and is open to candidates in USA. Enigma is a company focused on leveraging AI-enabled, data-driven capabilities across operational domains. They are seeking a Lead Analyst, Product Innovation who will drive the application of Large Language Models and cloud AI solutions to enhance analytics and streamline processes.
Responsibilities
ā¢ Applies strong knowledge of end-to-end operational workflows, pain points, and regulatory or governance considerations
ā¢ Identifies viable opportunities for analytics, automation, and LLM-enabled improvements
ā¢ Uses practical experience with Generative AI and LLM applications (e.g., prompt engineering, retrieval-augmented generation, Python-based prototypes)
ā¢ Focuses on applied problem-solving rather than advanced machine learning research
ā¢ Builds prototypes leveraging Python, SQL, cloud-based LLM services, and modern data platform tools
ā¢ Partners with engineering and data teams to validate data, refine requirements, and ensure scalable design
ā¢ Breaks down complex problems, analyzes root causes, and structures analytical approaches
ā¢ Uses quantitative evidence to support recommendations
ā¢ Works closely with operations, product, engineering, and data teams
ā¢ Contributes to requirements definition, design reviews, and prototype evaluations
ā¢ Synthesizes complex analyses into clear insights, summaries, and stakeholder-ready outputs
ā¢ Analyze current operational workflows to identify opportunities for LLM-based automation, analytics enhancements, or process optimization
ā¢ Conduct exploratory data analysis and develop Python-based AI prototypes using cloud services
ā¢ Evaluate LLM output quality, test and refine prompts, and support technical teams in shaping production-ready requirements
ā¢ Participate in the design and testing of generative AI prototypes, retrieval-based workflows, intelligent agents, and AI-enabled decision support tools
ā¢ Prepare insights, feasibility assessments, and recommendations to inform product direction and business case development
ā¢ Assess new data sources, validate data quality, and ensure compliance with internal governance and regulatory standards
ā¢ Support cross-functional working sessions, requirements gathering, and documentation of solution designs
Skills
ā¢ 3ā5 years in analytics, data-driven problem solving, or AI/automation-focused roles
ā¢ Bachelor's degree or equivalent practical experience
ā¢ Strong analytical capability
ā¢ Domain fluency in operational workflows
ā¢ Technical proficiency with Python and cloud data ecosystems
ā¢ Ability to translate complex findings into actionable recommendations
ā¢ Strong knowledge of end-to-end operational workflows, pain points, and regulatory or governance considerations
ā¢ Practical experience with Generative AI and LLM applications (e.g., prompt engineering, retrieval-augmented generation, Python-based prototypes)
ā¢ Ability to break down complex problems, analyze root causes, and structure analytical approaches
ā¢ Ability to synthesize complex analyses into clear insights, summaries, and stakeholder-ready outputs
ā¢ Preferred Study Areas: Computer Science, Analytics, or related disciplines
Company Overview
ā¢ Here at Enigma, we specialize in Generative AI recruitment, specifically focused on Machine Learning and Software Engineering disciplines. It was founded in undefined, and is headquartered in London, England, GB, with a workforce of 2-10 employees. Its website is https://www.enigma-rec.ai.
Company H1B Sponsorship
ā¢ Enigma has a track record of offering H1B sponsorships, with 1 in 2025, 3 in 2024, 3 in 2023, 3 in 2022, 5 in 2021, 3 in 2020. Please note that this does not guarantee sponsorship for this specific role.
Apply Now
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Responsibilities
ā¢ Applies strong knowledge of end-to-end operational workflows, pain points, and regulatory or governance considerations
ā¢ Identifies viable opportunities for analytics, automation, and LLM-enabled improvements
ā¢ Uses practical experience with Generative AI and LLM applications (e.g., prompt engineering, retrieval-augmented generation, Python-based prototypes)
ā¢ Focuses on applied problem-solving rather than advanced machine learning research
ā¢ Builds prototypes leveraging Python, SQL, cloud-based LLM services, and modern data platform tools
ā¢ Partners with engineering and data teams to validate data, refine requirements, and ensure scalable design
ā¢ Breaks down complex problems, analyzes root causes, and structures analytical approaches
ā¢ Uses quantitative evidence to support recommendations
ā¢ Works closely with operations, product, engineering, and data teams
ā¢ Contributes to requirements definition, design reviews, and prototype evaluations
ā¢ Synthesizes complex analyses into clear insights, summaries, and stakeholder-ready outputs
ā¢ Analyze current operational workflows to identify opportunities for LLM-based automation, analytics enhancements, or process optimization
ā¢ Conduct exploratory data analysis and develop Python-based AI prototypes using cloud services
ā¢ Evaluate LLM output quality, test and refine prompts, and support technical teams in shaping production-ready requirements
ā¢ Participate in the design and testing of generative AI prototypes, retrieval-based workflows, intelligent agents, and AI-enabled decision support tools
ā¢ Prepare insights, feasibility assessments, and recommendations to inform product direction and business case development
ā¢ Assess new data sources, validate data quality, and ensure compliance with internal governance and regulatory standards
ā¢ Support cross-functional working sessions, requirements gathering, and documentation of solution designs
Skills
ā¢ 3ā5 years in analytics, data-driven problem solving, or AI/automation-focused roles
ā¢ Bachelor's degree or equivalent practical experience
ā¢ Strong analytical capability
ā¢ Domain fluency in operational workflows
ā¢ Technical proficiency with Python and cloud data ecosystems
ā¢ Ability to translate complex findings into actionable recommendations
ā¢ Strong knowledge of end-to-end operational workflows, pain points, and regulatory or governance considerations
ā¢ Practical experience with Generative AI and LLM applications (e.g., prompt engineering, retrieval-augmented generation, Python-based prototypes)
ā¢ Ability to break down complex problems, analyze root causes, and structure analytical approaches
ā¢ Ability to synthesize complex analyses into clear insights, summaries, and stakeholder-ready outputs
ā¢ Preferred Study Areas: Computer Science, Analytics, or related disciplines
Company Overview
ā¢ Here at Enigma, we specialize in Generative AI recruitment, specifically focused on Machine Learning and Software Engineering disciplines. It was founded in undefined, and is headquartered in London, England, GB, with a workforce of 2-10 employees. Its website is https://www.enigma-rec.ai.
Company H1B Sponsorship
ā¢ Enigma has a track record of offering H1B sponsorships, with 1 in 2025, 3 in 2024, 3 in 2023, 3 in 2022, 5 in 2021, 3 in 2020. Please note that this does not guarantee sponsorship for this specific role.
Apply Now
Apply Now