Principal Data Analyst (Retail Inventory)
Core
Design, build, and deploy advanced optimization models and algorithms to optimize pricing, stock levels, vendor rebates, and inventory clearance for millions of SKUs.
Role type
Principal Data Analyst (strategic innovation partner)
Builds
Scalable automated models and algorithms for inventory lifecycle optimization
Domain
E-commerce / Retail / Supply Chain
Deliverable
production ML models
Required skills
SQL, Python, statistical modeling, machine learning, optimization algorithms, business acumen, commercial mindset
Preferred skills
Master's or PhD in quantitative field, data pipeline tools (Airflow), large-scale data environments (Redshift, Hive, Spark), data visualization (Tableau, Power BI), supply chain/retail finance concepts
Technologies
SQL, Python, Airflow, Redshift, Hive, Spark, Tableau, Power BI
Responsibilities
Design price elasticity models to optimize sell-through and recovery value; Develop optimization logic for Days of Cover (DOC) targets; Model and simulate complex multi-tier vendor contracts to maximize rebates; Create automated discount algorithms for near-expiry or slow-moving products; Act as a thought leader identifying new data science opportunities; Collaborate with senior leadership to define problem statements and present recommendations; Translate complex models into clear business narratives for stakeholders
Seniority
Principal, hands-on IC with strategic impact
