21 час назад
Principal Data Analyst (Retail Inventory)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Data Analyst (Retail Inventory) (SQL/Python, e-commerce): Building scalable pricing, inventory optimization, vendor rebate, and discount models for millions of retail SKUs with an accent on price elasticity, working capital, and inventory health. Focus on designing algorithms that balance stockout risk, overstock exposure, rebate earnings, sell-through, and profitability.
Location: Seoul, South Korea; remote member of the core strategy team in Seoul.
Company
is a global public commerce company combining startup culture with large-scale resources to build technology-driven shopping, eating, and lifestyle services.
What you will do
- Design, build, and deploy price elasticity models to improve sell-through and recovery value for distressed inventory.
- Develop optimization logic for Days of Cover targets, balancing stockout risk, working capital, and operational capacity.
- Model multi-tier vendor rebate contracts and optimize purchase quantities while controlling overstock risk.
- Create automated discount algorithms for near-expiry and slow-moving products to increase sales velocity and reduce financial loss.
- Collaborate with Marketing, CX, Inbound, Inventory Health, Clearance, Finance, Operations, Retail, and senior leadership to define problems and present actionable recommendations.
- Translate quantitative models and insights into concise business-facing narratives.
Requirements
- 8–10 years of experience in Category Analytics, Decision Science, Business Analytics, or Data Science, preferably in e-commerce, retail, or a technology startup.
- Bachelor’s degree or equivalent practical experience in a quantitative field such as Computer Science, Engineering, Statistics, Economics, or Mathematics.
- Expert proficiency in SQL and Python for data manipulation, modeling, and analysis.
- Experience applying statistical, machine learning, or optimization models to pricing, forecasting, inventory optimization, or commercial analytics.
- Strong business acumen, commercial mindset, communication skills, and ability to manage projects from conception to completion in a fast-paced remote-first environment.
Nice to have
- Engineering degree, Master’s degree, or PhD in a quantitative field.
- Experience with Airflow, Redshift, Hive, Spark, Tableau, or Power BI.
- Understanding of supply chain, inventory management, or retail finance.
Culture & Benefits
- Startup culture supported by the resources of a large global public company.
- Full-time regular employment with a 12-week probation period, subject to possible adjustment for business needs.
- Remote-first work environment with the core strategy team based in Seoul.
- Opportunity to build solutions affecting profitability, working capital, inventory, and customer experience.
Hiring process
- Application review followed by a phone interview.
- Onsite or virtual onsite interview.
- Offer; schedules and results are communicated by email.
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