DATA SCIENCE GLOBAL DISTRIBUTION ANALYST
Core
Support data science teams in developing data-driven solutions for commercial distribution and logistics optimization.
Role type
Junior/Mid-level data analyst (distribution & logistics)
Builds
Demand forecasting models, data pipelines, and decision-support dashboards
Domain
Retail / Fashion / Supply Chain
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL, data analysis, data processing, documentation, KPI tracking
Preferred skills
Looker, Power BI, Streamlit, logistics/supply chain domain knowledge
Technologies
Python, PySpark, Looker, Streamlit, Power BI
Responsibilities
Prepare, document, and process data for distribution and logistics solutions; Support data science teams in analysis and solution development; Participate in developing and maintaining demand forecasting models; Create and update user interfaces and dashboards; Monitor, simulate, and document model impact; Ensure data quality and consistency across analytical phases; Collaborate with business and systems teams to understand needs and implement solutions.
Seniority
Junior/Mid-level, hands-on IC
