Senior Data Analyst – European Merchandising Analytics
Core
Develop global customer intelligence solutions to drive retention and growth through data-driven insights.
Role type
Senior IC data scientist (customer & marketing analytics)
Builds
Global customer intelligence solutions for retention and growth
Domain
Retail (convenience stores) + Customer Analytics
Deliverable
production ML models
Required skills
Machine learning, statistical modeling, data wrangling, SQL, PySpark, cloud platforms (Azure, Databricks, Snowflake), time series forecasting, classification, regression, clustering, optimization, anomaly detection
Preferred skills
CI/CD implementation, automation, AI Agent structures, mentoring, code management (Git)
Technologies
Pandas, Power BI, Tableau, Git, Azure, Databricks, Snowflake
Responsibilities
Lead design and implementation of high-impact data science projects with ambiguous problems; Drive end-to-end data science project lifecycle from problem understanding to deployment; Translate complex model outputs into actionable insights for stakeholders; Lead cross-functional engagement and frame insights in terms of business impact; Implement CI/CD, automation, and performance monitoring; Mentor junior team members in code development and data management
Seniority
Senior, hands-on IC