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Job Description
Structured overview of role & requirementsAbout This Role
Own the creation of functional AI analytics prototypes using Python, Streamlit, SQL to demonstrate how AI agents analyze data and generate business narratives.
Deep dive into business performance diagnostics, convert manual analysis into structured rules and workflows for AI agents to follow.
Validate AI outputs for accuracy and logic; translate complex business needs into technical schemas and logic for AI development teams.
Minimum Requirements
8+ years of experience in advanced data analytics, business performance diagnostics, or data science.
Strong hands-on experience with Python, Pandas, Streamlit, Jupyter Notebooks, SQL, and data modeling for prototype building.
Exceptional business acumen with proven ability to diagnose business metric variances and convert them into repeatable algorithms.
Familiarity with LLM/agent integrations and concepts like structured tool calls and retrieval-augmented generation.
Ideal Candidate Profile
Demonstrated ability to bridge business diagnostic questions and AI analytics product development, enabling scalable AI agent solutions.
Experience in building and testing prototypes that ensure AI output accuracy, reproducibility, and trustworthiness for executive decision-making.
Background in e-commerce, marketplace analytics, or business performance measurement preferred but not mandatory.