Sr Data Analyst - Digital Ecommerce (math/stats, A/b Testing, Ml)

Target Target · Retail · Minneapolis, MN, Ste 100 Sunnyvale, CA

This role focuses on leveraging data, statistics, and visualization to generate actionable insights for digital e-commerce performance. It involves data extraction, transformation, and building reports/dashboards using various tools, with an emphasis on A/B testing and leveraging advanced analytics and AI-driven approaches for decision-making. The primary focus is on data analysis and insight generation, touching on ML/AI tools but not core model building.

What you'd actually do

  1. Leverage data, statistics, and visualization to generate actionable insights that drive value across multiple business functions.
  2. Utilize market-leading tools, data automation, and analytical methodologies to support reporting and performance measurement.
  3. Collaborate with cross-functional teams to analyze trends, optimize digital strategies, and provide clear recommendations for business growth.
  4. Builds detailed reports and dashboards using various tools, designs and implements data visualizations to communicate complex data clearly.
  5. Experience leveraging advanced analytics and AI-driven approaches (e.g., predictive modeling, machine learning, or AI-enabled tools) to enhance decision-making.

Skills

Required

  • 4-year degree or equivalent experience
  • 3+ years of experience as a Data Analyst
  • Advanced SQL experience
  • Python or R
  • analytics tools such as: SQL, Hadoop, Hive, Spark, Power BI, Adobe Analytics (or Google Analytics)
  • A/B Testing methods
  • time series forecasting models
  • statistical analysis
  • building scalable reports
  • simplifying complex data
  • advanced analytics and AI-driven approaches
  • data extraction, transformation, and visualization
  • problem solving, analytical skills, data curiosity, data mining, Data creation and consolidation
  • communication skills

Nice to have

  • ML models
  • AI-enabled tools

What the JD emphasized

  • Advanced SQL experience writing complex queries
  • Advanced analytics and AI-driven approaches

Other signals

  • leverage data, statistics, and visualization to generate actionable insights
  • support reporting and performance measurement
  • analyze trends, optimize digital strategies, and provide clear recommendations
  • analytical thinker with hands-on experience in data extraction, transformation, and visualization
  • comfortable working with large datasets, building scalable reports, and simplifying complex data
  • leveraging advanced analytics and AI-driven approaches (e.g., predictive modeling, machine learning, or AI-enabled tools) to enhance decision-making