Staff Data Analyst (Category Analytics)

Location: Seoul, South Korea; remote member of the core strategy team in Seoul

Company

hirify.global is a global public commerce company building technology-driven shopping, eating, and living services.

What you will do

• Design, build, and deploy price elasticity models to improve sell-through and recovery value for selected SKUs.
• Develop optimization logic for Days of Cover targets while balancing out-of-stock 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.
• Identify new data science and algorithmic opportunities across the inventory lifecycle.
• Partner with marketing, customer experience, inventory, inbound, clearance, finance, operations, retail, and senior leadership stakeholders to define problems and communicate recommendations.

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 computer science, engineering, statistics, economics, mathematics, or another quantitative field.
• 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 and communication skills, including the ability to explain complex analyses to non-technical audiences.
• Must be based in Seoul, South Korea; the role operates remotely with the core Seoul strategy team.

Nice to have

• Engineering degree, master’s degree, or PhD in a quantitative field.
• Experience with Airflow, Redshift, Hive, Spark, Tableau, or Power BI.
• Knowledge of supply chain, inventory management, or retail finance.

Culture & Benefits

• Startup culture combined with the resources of a large global public company.
• Fast-paced, remote-first collaboration with the core team.
• Full-time regular employment with a 12-week probation period, which may be adjusted according to business needs.
• Work focused on high-impact solutions for profitability, working capital, inventory health, and customer experience.

Hiring process

• Application review.
• Phone interview.
• Onsite or virtual onsite interview, followed by an offer.