✦ Luna Orbit — Data & Analytics

Sr Data Analyst - Digital and Ecommerce (Statistics/Math, A/B testing, Power BI)

at Target

📍 1000 Nicollet Mall, Minneapolis,MN 55403-2542 Hybrid 💰 $88K – $158K USD / year Posted March 18, 2026
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Position Details

Salary $88K – $158K USD / year
Type Full-Time
Experience senior
Exp. Years Not specified
Education Not specified
Category Data & Analytics

About this role

Target is seeking a senior data analyst to leverage Power BI, A/B testing, and statistical methods to analyze digital and ecommerce data, providing insights to improve business performance.

Key Responsibilities

  • Analyze digital and ecommerce data
  • Conduct A/B testing
  • Build reports and dashboards
  • Generate actionable insights
  • Support data-driven decision making

Technical Overview

The role involves data extraction, transformation, visualization with Power BI, and conducting A/B tests on large datasets within a retail environment.

Ideal Candidate

The ideal candidate is a data analyst with experience in Power BI, A/B testing, and data visualization, capable of handling large datasets and generating actionable insights. They should be analytical, detail-oriented, and able to work independently within a team.

Must-Have Skills

Data extractionData transformationData visualizationPower BIA/B testing

Nice-to-Have Skills

statisticsMathlarge datasets

Tools & Platforms

Power BI

Required Skills

Power BIA/B testingdata visualizationdata extractiondata transformationlarge datasetsreport buildinganalyticsretaildigital analytics

Hard Skills

Power BIA/B testingstatisticsMathData extractionData transformationData visualizationlarge datasetsreport building

Soft Skills

analytical thinkingindependent workteam collaborationproblem-solvingcommunication

Industry & Role

Industry Retail
Job Function Data analysis and visualization for digital and ecommerce performance
Role Subtype Data Analyst
Tech Domains Power BI

Keywords for Your Resume

Power BIA/B testingstatisticsMathdata extractiondata transformationdata visualizationlarge datasetsreport buildinganalyticalretail analyticsdigital analyticsbusiness insightsdata automationperformance measurementanalytics

Deal Breakers

Lack of experience with Power BI or A/B testing, No experience with data visualization or large datasets, Unwillingness to work in a hybrid environment

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