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Target

Senior Data Analyst – Digital, Ecommerce, Experimentation, Math/Stats, A/B testing, ML

Target

Senior Data Analyst leveraging data and visualization to enhance business performance at Target. Collaborating with cross-functional teams for digital strategy optimization and actionable insights.

Posted 7/1/2026full-timeMinneapolis • Minnesota • 🇺🇸 United StatesSenior💰 $88,000 - $158,000 per yearWebsite

Tech Stack

Tools & technologies
HadoopPythonSparkSQL

About the role

Key responsibilities & impact
  • leverage data, statistics, and visualization to generate actionable insights that drive value across multiple business functions
  • utilize market-leading tools, data automation, and analytical methodologies to support reporting and performance measurement
  • collaborate with cross-functional teams to analyze trends, optimize digital strategies, and provide clear recommendations for business growth

Requirements

What you’ll need
  • 4-year degree or equivalent experience
  • 3+ years of experience as a Data Analyst in industry with strong performance in a quantitative field or equivalent experience
  • Advanced SQL experience writing complex queries and accomplished in Python or R
  • Demonstrated experience in analytics tools such as: SQL, Hadoop, Hive, Spark, Power BI, Adobe Analytics (or Google Analytics) and/or equivalent technologies
  • Knowledge of A/B Testing methods and time series forecasting models including statistical analysis
  • Builds detailed reports and dashboards using various tools, designs and implements data visualizations to communicate complex data clearly.
  • Prepare data models and analysis to identify, analyze and interpret trends or patterns in complex data sets for values and new opportunities.
  • Experience leveraging advanced analytics and AI-driven approaches (e.g., predictive modeling, machine learning, or AI-enabled tools) to enhance decision-making
  • Works closely with cross functional teams to understand data needs, value opportunities and delivers solutions in partnership with digital technology and data engineering teams to ensure data integrity and accuracy
  • Ensures the accuracy, consistency, and security of data across all reports and analysis
  • Solid problem solving, analytical skills, data curiosity, data mining, Data creation and consolidation
  • Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them
  • Cultivates and maintains positive partners relationships to understand their data needs, provides insights and finds improvement opportunities, and ensures reporting solutions address key objectives

Benefits

Comp & perks
  • comprehensive health benefits and programs
  • medical, vision, dental, life insurance
  • 401(k)
  • employee discount
  • short term disability
  • long term disability
  • paid sick leave
  • paid national holidays
  • paid vacation

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Data AnalysisStatistical AnalysisData MiningData ModelingComplex Query WritingTime Series ForecastingMachine LearningData AutomationData ConsolidationPerformance Measurement
Soft Skills
Excellent Communication SkillsProblem SolvingAnalytical SkillsData CuriosityRelationship Building