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Vanderlande

Supply Chain Data & Analytics Intern

Vanderlande

. Develop data & analytics solutions for the Supply Chain organization .

Posted 11/11/2026part-timeRemote • Georgia • United StatesEntry LevelWebsite

Core Competencies

Role fit
Core Competencies

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

Proficient in developing data and analytics solutions for Supply Chain applications, with strong skills in Python, SQL, and data visualization tools like Tableau or Power BI. Capable of conducting statistical analysis and data preprocessing while effectively communicating insights to stakeholders.

Highest-signal resume keywords
Python ProficiencySQL FamiliarityData Visualization (Tableau, Power BI)Statistical AnalysisData Preprocessing

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data Analytics DevelopmentData CleaningStatistical AnalysisProblem-SolvingData Management
Soft Skills
Analytical SkillsCommunication Skills
Tools & Technologies
TableauPower BI
Industry Keywords
Supply ChainData AnalyticsBusiness AnalyticsData VisualizationData Management

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • Develop data & analytics solutions for the Supply Chain organization
  • Participate in data analytics application development
  • Collaborate with data professionals to develop analytics projects utilizing departmental standards
  • Ensure solutions meet customer requirements by partnering with business units
  • Collect and clean data, correcting errors or inconsistencies
  • Develop digital products according to department data management and visualization standards
  • Present solutions to the digital team and business units
  • Train end users

Requirements

What you’ll need
  • Currently at least a Sophomore or Junior in an undergraduate bachelor’s degree program
  • Available to work up to 20 hours per week and complete entire assignment
  • Majoring in Industrial Engineering, Computer Science, Mathematics, Statistics, or Business Analytics
  • Proficient in Python
  • Familiar with SQL and data visualization tools like Tableau or Power BI
  • Solid grasp of statistical analysis and probability
  • Experience in data preprocessing and cleaning
  • Strong analytical, problem-solving, and communication skills

Benefits

Comp & perks
  • Available to work up to 20 hours per week
  • Internship opportunity with exposure to data analytics application development
  • Opportunities to work on specific Supply Chain tasks and projects
  • Opportunities to identify continuous improvement opportunities