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

Target

Senior Data Analyst leveraging data to generate actionable insights for business functions at Target. Collaborating with teams to optimize digital strategies and ensure data integrity.

Posted 7/10/2026full-timeMinneapolis • Minnesota • 🇺🇸 United StatesSenior💰 $88,000 - $158,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in leveraging data analytics and visualization tools to generate actionable insights and drive business growth. Expertise in advanced SQL, Python or R, and experience with analytics tools to ensure data accuracy and support performance measurement.

Highest-signal resume keywords

Advanced SQL ExperienceData Visualization SkillsExperience with Analytics ToolsKnowledge of A/B Testing MethodsPredictive Modeling and Machine Learning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical AnalysisData MiningData ModelingComplex Query WritingTime Series ForecastingData AutomationPerformance MeasurementData CreationData Consolidation

Soft Skills

Excellent Communication SkillsProblem SolvingAnalytical SkillsData Curiosity

Tools & Technologies

Power BIAdobe AnalyticsGoogle AnalyticsHadoopHiveSpark

Industry Keywords

Data AnalystQuantitative FieldCross-Functional CollaborationDigital StrategiesBusiness Growth

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.
ensure the accuracy, consistency, and security of data across all reports and analysis.

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
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.

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