Data Analyst - Digital & E-commerce (experimentation, ML, Math/Stats)
Core
Leverage data, statistics, and visualization to generate actionable insights that drive value across multiple business functions in modern retail.
Role type
Data Analyst (Digital & E-commerce)
Builds
Scalable reports, dashboards, and data visualizations for business partners.
Domain
Retail / Digital Analytics / E-commerce
Deliverable
dashboards & analysis
Required skills
SQL, Python, R, statistical analysis, A/B testing, time series analysis, forecasting, data extraction, data transformation, data visualization
Preferred skills
Machine learning, AI-driven approaches, Hadoop, Hive, Spark, Domo, Adobe Analytics, Google Analytics
Responsibilities
Build detailed reports and dashboards using various tools; Prepare data models and analysis to identify, analyze and interpret trends or patterns in complex data sets; Leverage advanced analytics and AI-driven approaches to enhance decision-making; Collaborate with cross-functional teams to understand data needs and deliver solutions; Ensure the accuracy, consistency, and security of data across all reports and analysis.
Seniority
Junior to Mid-level (1+ year experience)
