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Senior Data Analyst – Digital, Ecommerce, Experimentation, Math/Stats, A/B testing, ML
TargetSenior 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 & technologiesHadoopPythonSparkSQL
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
✓ Tailor your resumeApplicant 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