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Sr Data Analyst - Digital and Ecommerce (Experimentation, Math/Stats, A/B testing, ML)(Remote Or Hybrid)

Target

hybridseniorpermanentdata Minneapolis, MN 23 days ago via LinkedIn
88,000 - 158,000 USD/annual

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Tags

SQLPythonRA/B TestingTime Series ForecastingData VisualizationPower BIAdobe AnalyticsHadoopSpark

About the role

Role Overview

Senior Data Analyst – Digital and Ecommerce (Experimentation, Math/Stats, A/B Testing, ML)

You will generate actionable insights using data, statistics, and visualization to drive value across multiple business functions within Target’s Digital Analytics and Insights group.

Responsibilities

  • Leverage data and analytical methods to support reporting and performance measurement
  • Collaborate cross-functionally to analyze trends, optimize digital strategies, and provide clear recommendations for business growth
  • Perform data extraction, transformation, and visualization on large datasets
  • Build scalable reporting and dashboards; simplify complex data for efficient decision-making
  • Prepare data models and analyses to identify trends/patterns and uncover opportunities
  • Identify and support test-and-measure / A/B testing opportunities and related experimentation analytics

Requirements

  • 3+ years of experience as a Data Analyst in industry (quantitative field preferred) or equivalent experience
  • 4-year degree or equivalent experience
  • Advanced SQL (complex query writing)
  • Accomplished in Python or R
  • Demonstrated analytics tool experience (examples listed):
    • SQL, Hadoop, Hive, Spark
    • Power BI, Adobe Analytics (or Google Analytics)
  • Knowledge of A/B testing methods and time series forecasting models with statistical analysis
  • Ability to build detailed reports/dashboards and design clear data visualizations

Nice-to-haves / Additional Signals

  • Experience leveraging advanced analytics and AI-driven applications

About Target

Target is a major retail and digital commerce company focused on helping families discover the joy of everyday life. Its Data & Analytics organization builds data products and tools that enable data-driven decisions across areas such as personalization, search, fraud detection, supply chain optimization, and experimentation. The team supports business partners with analytics, reporting, and advanced modeling to improve the guest experience.

Scraped 7/3/2026