Senior Data Analyst
Core
Ensuring data quality, availability, and depth for retail selection, pricing, and inventory optimization using SQL, ETL, and LLMs.
Role type
Senior Data Analyst (Retail & Selection)
Builds
Decision models for SKU rationalization, automated replenishment, and competitive benchmarking
Domain
E-commerce / Retail
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, Python/R, prompt engineering, LLMs, PowerBI/Tableau, data storytelling, data integrity, ETL development
Preferred skills
GitHub, Airflow, statistics, ML techniques (elasticity modeling, clustering), retail domain expertise
Technologies
SQL, Python, R, PowerBI, Tableau, GitHub, Airflow, LLMs
Responsibilities
Maintain robust data ETL processes to integrate disparate signals; leverage LLMs and prompt engineering to automate catalog categorization; structure large-scale datasets for decision models; run complex simulations to predict selection impact; support onboarding of business users with training and dashboards
Seniority
Senior, hands-on IC
