Junior Data Analist - Assortiment (Python)
Core
Analyze sales data and customer behavior to optimize product assortment for Albert Heijn supermarkets, translating insights into concrete advice for managers.
Role type
Junior Data Analyst (Assortment)
Builds
Data-driven recommendations for product assortment optimization focusing on sustainability, profitability, and customer perspective.
Domain
Retail / Data Analytics
Deliverable
dashboards & analysis
Required skills
Python, PySpark, statistics, forecasting, optimization, data visualization
Preferred skills
Cloud platforms, Microsoft Azure Databricks, PowerBI, English language proficiency
Technologies
Python, PySpark, Microsoft Azure Databricks, PowerBI
Responsibilities
Analyze sales data and customer behavior to identify opportunities for assortment improvement; Create reports and advise business stakeholders on assortment composition; Collaborate with the Assortment Analytics Team and Data Science team; Contribute to data quality improvement projects.
Seniority
Junior, 0-2 years experience