Retail Sales Analyst

Earthbound

. Pull and analyze sales data for key categories across several merchandise departments .

Posted 9/24/2026full-timeBentonville • United StatesMid-LevelSenior💰 $50,000 - $60,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates advanced analytical skills with a strong proficiency in Excel for data analysis and visualization, alongside effective communication and collaboration abilities to present findings clearly. Capable of managing workloads independently while delivering insightful reports on retail performance metrics.

Highest-signal resume keywords

Advanced Excel SkillsData AnalysisPowerPoint ProficiencyAnalytical ThinkingCollaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisExcel Pivot TablesVLOOKUPINDEX-MATCHData VisualizationAdvanced FormulasRetail Performance AnalysisAd Hoc ReportingTrend AnalysisDeep Dive Analysis

Soft Skills

Excellent CommunicationOrganizational SkillsCollaborationAnalytical ThinkingWorkload Management

Tools & Technologies

DSSScintillaRetail LinkExcelPowerPoint

Industry Keywords

Retail PerformanceSales Data AnalysisMargin AnalysisSpace AnalysisMerchandise Departments

About the role

Key responsibilities & impact

Pull and analyze sales data for key categories across several merchandise departments
Prepare ad hoc reports
Create and deliver presentations
Analyze retail performance by brand, sub-category, sales, margin, and space
Use Excel to analyze and present data
Explain analysis results clearly and simply
Collaborate with the team

Requirements

What you’ll need

Bachelor’s Degree or related experience
Advanced Excel skills (pivot tables, charts, macros, VLOOKUP, formulas, conditional formatting, etc.)
Proficient PowerPoint skills
Analytical thinking
Collaboration
Manage workload and deadlines with minimum supervision
Excellent communication and organizational skills
Experience analyzing and defining what’s working and what’s not
Experience conducting deep dives by brand, sub-category, and other necessary attributes
Experience analyzing productivity by sales, margin, and space
Experience with DSS, Scintilla, Retail Link, or similar analytical tools and applications
Comfort using Pivot Tables for summarizing large data sets
Experience with VLOOKUP/XLOOKUP and INDEX-MATCH for data integration
Experience with data visualization using charts, conditional formatting, and sparklines
Experience with advanced formulas for calculations and trend analysis