✦ Luna Orbit — Data & Analytics

Sr Data Analyst - Digital and Ecommerce (BigQuery, Power BI)

at Target

📍 1000 Nicollet Mall, Minneapolis,MN 55403-2542 Hybrid 💰 $88K – $158K USD / year Posted March 13, 2026
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Position Details

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

About this role

A data analyst role focused on digital and e-commerce analytics, leveraging large datasets to generate business insights.

Key Responsibilities

  • Extract and transform data from various sources
  • Create scalable reports and dashboards
  • Analyze digital trends and performance
  • Collaborate with cross-functional teams
  • Provide actionable insights

Technical Overview

Utilizes BigQuery for data storage and Power BI for visualization, requiring skills in SQL, data extraction, transformation, and visualization tools.

Ideal Candidate

The ideal candidate is a mid-level data analyst with experience in retail digital analytics, proficient in BigQuery and Power BI, capable of handling large datasets and generating actionable insights.

Must-Have Skills

Data extractionData transformationData visualizationPower BIBigQuery

Nice-to-Have Skills

A/B testingPerformance measurementMarket analysis

Tools & Platforms

Google BigQueryMicrosoft Power BI

Required Skills

BigQueryPower BIData extractionData transformationData visualizationSQLAnalytics

Hard Skills

BigQueryPower BIData extractionData transformationData visualizationSQLAnalytics tools

Soft Skills

Analytical thinkingCommunicationTeamworkProblem-solvingIndependence

Industry & Role

Industry Retail/E-commerce
Job Function Data analysis and visualization for digital and e-commerce performance

Keywords for Your Resume

Data AnalystBigQueryPower BIData extractionData transformationData visualizationSQLAnalyticsData-driven decision makingA/B testingPerformance measurementData analysisBusiness insightsDigital analyticsRetail analytics

Deal Breakers

Lack of experience with BigQuery or Power BI, No data analysis experience, Unwillingness to work in a hybrid environment

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