Forward Deployed Analyst, US

PromptQL•San Francisco, CA

1d•Hybrid

About The Position

As FDA, you act as both a strategic partner and hands-on problem solver, helping customers translate business requirements into analytical insights, data workflows, and AI-powered solutions built on PromptQL. This role bridges deep analytical thinking with fast execution. You will work closely with several technical and/or business stakeholders to understand their processes, diagnose bottlenecks, and design solutions that materially improve decision-making and outcomes for them.

Requirements

5+ years of experience in data science, engineering, or analytics
Demonstrated ability to translate ambiguous business problems into data-driven insights and actionable recommendations
Experience working in fast-moving, high-volume operational environments (e.g., logistics, marketplaces, fulfillment, or similarly dynamic domains)
Proficiency with SQL, data transformation techniques, and modern analytics tooling
Experience building dashboards, analytical models, or decision-support workflows that support daily business operations
Comfort working with APIs, data pipelines, and data access technologies
Strong problem-solving skills with the ability to break down complex workflows into measurable components
Excellent communication skills, with the ability to clearly explain analytical findings to both technical and non-technical audiences
Ability to build strong, trust-based relationships with customer stakeholders and guide them through analytical and AI-enabled transformations
Bachelor’s degree in Data Science, Statistics, Economics, Engineering, Computer Science, or a related field, or equivalent experience

Nice To Haves

Familiarity with AI concepts, large language models, or AI-assisted workflows

Responsibilities

Act as a strategic partner and hands-on problem solver for customers.
Translate business requirements into analytical insights, data workflows, and AI-powered solutions.
Work closely with technical and/or business stakeholders to understand their processes.
Diagnose bottlenecks and design solutions to improve decision-making and outcomes.
Build dashboards, analytical models, or decision-support workflows that support daily business operations.
Collaborate with product, engineering, and business partners to deliver cross-functional analytical projects.
Explain analytical findings to both technical and non-technical audiences.
Build strong, trust-based relationships with customer stakeholders.
Guide customers through analytical and AI-enabled transformations.