Junior Data Analist - Assortiment (Python)
Required skills
Master in Econometrics, Operations Research, Business Analytics, Data Science or other relevant study. Advanced knowledge in statistics, forecasting and optimization. 0-2 years work experience as data analyst or equivalent. Experience in solving business problems with data analytics and/or data science techniques using PySpark and Python. Experience with Cloud Platforms, Github, IDE, Microsoft Azure Databricks and visualization tools such as PowerBI is a pré. Talent for influencing business stakeholders based on statistical analyses and data science models. Good communication and presentation skills. Curious and eager to learn mindset. Excellent command of the Dutch language. Good command of the English language is a pré.
Preferred skills
Experience with Cloud Platforms, Github, IDE, Microsoft Azure Databricks and visualization tools such as PowerBI.
Technologies
PySpark, Python, Cloud Platforms, Github, IDE, Microsoft Azure Databricks, PowerBI.
Responsibilities
Analyze sales data and customer behavior to identify opportunities and improvements for the assortment. Translate complex data into concrete advice and insights for assortment managers and other stakeholders. Work on the development of high impact data science models that provide advice on the best assortment in terms of sustainability, profitability and customer perspective. Collaborate with business stakeholders to build pragmatic data-driven solutions. Improve data quality. Contribute to innovation within the team.
Seniority
Junior.
Domain
Retail, Data Science, Analytics.