Remote Summer Intern: People Analytics & Systems

EquipmentShare; New York (NY); Hybrid; USD 27,552 - 38,572; Part time

Benefits offered by this job

Flexible work arrangement

Competitive salary

Company paid holidays

Wellness challenges

Company events

Volunteer initiatives

Career development

Job summary

EquipmentShare is hiring an Summer Intern: People Analytics and Systems to support our Corporate HQ in Columbia, MO and remotely join the People Data, Compensation and HRIS team.

This internship lets you learn our business from the ground up through team and independent projects, working with Excel or Google Sheets and gaining exposure to R, Python and SQL.

You will be involved in planning, data projects, and collaborating with senior staff to understand how analytics drives people decisions.

Qualifications

• Must be actively pursuing a Bachelor's or Master's degree.
• GPA of 3.0 or higher.
• Strong Excel or Google Sheets skills.
• Familiarity with R, Python, SQL is a plus.
• High attention to detail and problem solving.
• Interest in Project Management.

Responsibilities

• Support analysts in planning timelines, managing workflows, and handling correspondence.
• Learn data analytics tools and systems through hands-on involvement and shadowing senior team members.
• Engage with team members across levels to understand the strategic role of data analytics and systems in business decisions.

Skills

Data analytics

Project management

Attention to detail

Team collaboration

Education

Bachelor's or Master's degree (in progress)

GPA 3.0 or higher

Tools

Excel/Google Sheets

R

Python

SQL

Job description

EquipmentShare is hiring an Summer Intern: People Analytics and Systems to support our Corporate HQ in Columbia, MO and remotely join the People Data, Compensation and HRIS team.

This internship lets you learn our business from the ground up through team and independent projects, working with Excel or Google Sheets and gaining exposure to R, Python and SQL.

You will be involved in planning, data projects, and collaborating with senior staff to understand how analytics drives people decisions.