Sr Data Analyst, Ecommerce & Product Analytics (Experimentation, Math/Stats, A/B testing, ML)
Core
Senior Data Analyst supporting Target's Digital Analytics and Insights group by leveraging data, statistics, and visualization to drive data-driven decision-making for business performance in retail.
Role type
Senior Data Analyst (Ecommerce & Product Analytics)
Builds
Scalable reports, dashboards, and data models for digital strategies, A/B testing, and demand forecasting.
Domain
Retail / Ecommerce / Digital Analytics
Deliverable
dashboards & analysis
Required skills
Advanced SQL, Python or R, A/B Testing methods, Time series forecasting, Statistical analysis, Data visualization, Predictive modeling, Machine learning, Data extraction and transformation
Preferred skills
Experience with Hadoop, Hive, Spark, Power BI, Adobe Analytics, Google Analytics, AI-driven approaches
Technologies
SQL, Python, R, Hadoop, Hive, Spark, Power BI, Adobe Analytics, Google Analytics
Responsibilities
Write complex SQL queries and perform data extraction/transformation; Build detailed reports and dashboards to communicate complex data; Design and implement data visualizations; Analyze trends and patterns to identify new opportunities; Leverage advanced analytics and AI/ML to enhance decision-making; Collaborate with cross-functional teams to understand data needs and ensure data integrity; Ensure accuracy and consistency of data across reports.
Seniority
Senior, hands-on IC
