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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Analysis, leveraging Advanced SQL, Python, and R to generate actionable insights and optimize business strategies. Proficient in utilizing analytics tools and methodologies to ensure data integrity, accuracy, and effective communication of complex data.

Highest-signal resume keywords

Advanced SQL ExperienceData Visualization DesignAnalytics Tools ProficiencyA/B Testing KnowledgePredictive Modeling Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical AnalysisData MiningData ModelingComplex Query WritingTime Series ForecastingMachine LearningData AutomationData ConsolidationPerformance Measurement

Soft Skills

Excellent Communication SkillsProblem SolvingAnalytical SkillsData CuriosityRelationship Building

Tools & Technologies

Power BIAdobe AnalyticsGoogle AnalyticsHadoopHiveSpark

Industry Keywords

Cross-Functional CollaborationDigital StrategiesBusiness GrowthData IntegrityReporting Solutions

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