✦ Luna Orbit — Data & Analytics

Lead Data Analyst- Merchandising Analytics Essentials and Beauty

at Target

📍 1000 Nicollet Mall, Minneapolis,MN 55403-2542 Hybrid 💰 $115K – $206K USD / year Posted April 01, 2026
Salary $115K – $206K USD / year
Type Not Specified
Experience mid
Exp. Years 6+ years
Education Four-year degree or equivalent experience
Category Data & Analytics

Lead Data Analyst for Merchandising Analytics Essentials and Beauty; responsible for delivering data-driven insights, developing pricing-related metrics, and supporting cross-functional pricing decisions in a hybrid work environment.

  • Explore data and derive insights
  • Build dashboards and ad hoc analyses
  • Drive pricing analytics and elasticity
  • Develop new data metrics for initiatives
  • Collaborate with pricing analysts and product teams

Expertise in SQL, Python or R, AB testing, and forecasting; experience with Hadoop ecosystem and visualization tools; strong data storytelling and stakeholder collaboration across merchandising, product, and pricing teams.

The ideal candidate is a senior data analyst with 6+ years of experience, advanced SQL skills, and proficiency in Python or R, plus strong experience in merchandising analytics and pricing decisions. The role requires data storytelling to business partners and the ability to lead analytics initiatives in a hybrid environment.

Four-year degree or equivalent experience6+ year as a Data Analyst with strong quantitative backgroundAdvanced SQLPython or RAB Testing methodsTime seriesForecasting modelsData visualizationAbility to translate business objectives into measurable outcomes
HadoopHiveSparkDomoAdobe AnalyticsGoogle Analytics
SQLExcelHadoopHiveSparkPythonRDomoAdobe AnalyticsGoogle Analytics
Four-year degree or equivalent; 6+ years as a Data Analyst; Advanced SQL; Python or R; Data mining; Time series; AB Testing; Forecasting; Data visualization; Excel; Hadoop; Hive; Spark; Domo; Adobe Analytics or Google Analytics
Advanced SQLPythonRExcelHadoopHiveSparkDomoAdobe AnalyticsGoogle AnalyticsAB TestingTime SeriesForecasting
Excellent communicationStorytellingCollaborationAnalytical thinkingData visualizationProblem solving
Industry Retail
Job Function Deliver data-driven merchandising and pricing insights to support Target's pricing strategy and category decisions
Role Subtype Senior Data Analyst
Tech Domains Data & Analytics, SQL / PostgreSQL, Python, R, Excel, Hadoop, Spark, Tableau, Power BI
Lead Data AnalystMerchandising Analytics Essentials and BeautyTargetdata analystSQLPythonRAB TestingTime seriesForecastingData visualizationHadoopHiveSparkDomoAdobe AnalyticsGoogle AnalyticsHybridMinneapolisretail analyticspricing decisionsPricing decisions

6+ years of relevant experience is not met, Inability to work in a hybrid Minneapolis-based setting

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