AI-Driven Sustainability Intern (Hybrid)

Shure Incorporated

Niles (IL)

Hybrid

USD 32,000 - 59,000

Full time

14 days+

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Benefits offered by this job

retirement savings plans
paid time off
employee discounts
professional development opportunities
work-life balance initiatives

Job summary

Shure Incorporated is offering a Data Driven Sustainability Intern role in a hybrid arrangement at Niles, IL, for Summer 2027. The internship focuses on collecting and analyzing sustainability data, building dashboards, and exploring AI-enabled insights to support reporting and decision-making.

Applicants should be pursuing a degree in data analytics or related fields and be eager to work across IT and sustainability teams.

Qualifications

  • Currently pursuing or recently completed a degree in Data Analytics, Statistics, or a related field.
  • Strong proficiency in data collection, organization, and analysis.
  • Experience with data analysis tools such as Excel, Tableau, or similar.
  • Interest in AI, automation, prompt engineering, or intelligent agent development for sustainability analytics.

Responsibilities

  • Collect, organize, and maintain data related to sustainability metrics.
  • Collaborate with cross-functional teams to improve data collection processes.
  • Conduct data analysis to identify trends, variances, and improvement opportunities.
  • Develop and maintain dashboards and reports to track performance.
  • Support AI-enabled insights and automation initiatives.
  • Document data requirements, flows, and governance needs.

Skills

Data collection
Data analysis
Excel
Tableau
AI interest

Education

Data Analytics or Statistics degree

Tools

Excel
Tableau

Job description

Shure Incorporated is offering a Data Driven Sustainability Intern role in a hybrid arrangement at Niles, IL, for Summer 2027. The internship focuses on collecting and analyzing sustainability data, building dashboards, and exploring AI-enabled insights to support reporting and decision-making.

Applicants should be pursuing a degree in data analytics or related fields and be eager to work across IT and sustainability teams.

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