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EquipmentShare

Tech-driven construction equipment rental and sales

Uptime Management Center Intern

Data AnalysisPosted on Nov 10
Internship · Spring 2027Columbia, MO, USANo salary listed

About the Job

Requirements

  • The candidate must be pursuing a Bachelor’s or Master’s degree in Data Analytics, Statistics, Engineering, Information Systems, Computer Science, or a related field.
  • The candidate should have basic knowledge of Excel formulas and pivot tables.
  • The candidate should have experience with Python or R through coursework or projects.
  • The candidate should have knowledge of SQL or willingness to learn it.
  • The candidate should have strong analytical and problem-solving skills.
  • The candidate should pay attention to detail and be able to work with large datasets.
  • The candidate should have strong written and verbal communication skills.
  • The candidate should be self-motivated and eager to learn in a fast-paced environment.
  • The candidate must be able to work Monday through Friday, 8 a.m. to 5 p.m.
  • Employment is contingent on passing a background check.

Responsibilities

  • Assist in monitoring telematics and equipment performance data.
  • Support analysis of uptime and downtime trends.
  • Help maintain dashboards and recurring reports for leadership and operations teams.
  • Perform data cleaning, validation, and quality checks.
  • Assist with identifying anomalies or patterns that may indicate maintenance needs.
  • Support predictive and preventive maintenance analytics initiatives.

Desired Qualifications

  • Exposure to operations, manufacturing, fleet management, or equipment-heavy industries is a plus.
  • Interest in predictive analytics or reliability engineering is desirable.
  • Data visualization tools are preferred but not required.

About the Company

EquipmentShare

Tech-driven construction equipment rental and sales

EquipmentShare provides construction equipment rental and sales, plus tech-enabled services that streamline operations. Its platform combines an equipment marketplace with smart technology that tracks assets, manages users, and monitors performance; data science predicts maintenance, issues service alerts, and GPS tracks machines. It differs from traditional rental houses by offering proactive, data-driven management tools that reduce downtime, improve productivity and safety, and simplify job costing. Its goal is to boost construction productivity by making equipment more available and easier to manage through integrated rentals, sales, and technology services.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Columbia, MO
Founded
2014

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