Data Analyst
Core
Own data quality for Retail Intelligence products by defining ground truth, building dashboards, and evaluating LLM/ML model outputs to support customer-facing teams.
Role type
Senior IC data analyst (product data & AI quality)
Builds
Ground-truth datasets, labeling guidelines, quality dashboards, and model evaluation reports
Domain
E-commerce, retail intelligence, large-scale data, LLMs, and machine learning
Deliverable
dashboards & analysis
Required skills
SQL, Python (pandas, notebooks), statistics, LLM prompting and output review, data quality processes, taxonomy definition
Preferred skills
E-commerce or product data experience, BI/visualization tools, labeling experience
Technologies
Python, pandas, LLMs, SQL
Responsibilities
Analyze product/brand/category data to identify gaps and errors; Define quality metrics and build tracking dashboards; Build and maintain ground-truth datasets and labeling guidelines; Evaluate LLM and ML model outputs via error analysis; Use LLMs and AI tools to accelerate analysis and labeling; Define and maintain taxonomies and classification rules; Validate new data sources before product integration
Seniority
Mid-level, hands-on IC
