Sustainability Data Analytics & Reporting Intern

TPG Careers Page; Provo (UT); On-site; USD 26,000 - 36,000; Part time

Job summary

TPG is seeking a Data Analytics & Reporting Research Assistant to support the DARL team with sustainability analytics projects, including creating dashboards, automating reporting processes, and other data-focused improvements. The role supports emissions accounting, regulatory reporting, climate risk assessment, and LP engagement.

Early January–Mid-May 2027, 20 hours per week, $22.5/hour, in Provo, UT. Ideal candidates are graduate students or advanced undergrads with strong Excel,

Qualifications

• Must be authorized to work in the U.S.
• Must be located in listed states during the internship
• Graduate student or advanced undergraduate
• Excellent data analytics skills, including Excel and at least one statistical tool
• Advanced data visualization experience with dashboard tools
• Interest in responsible investing or sustainability
• Ability to manage multiple projects with attention to detail
• Excellent written and spoken English

Responsibilities

• Support the DARL team with sustainability analytics projects, including dashboards and automated reporting.
• Contribute to data-focused process improvements and recurring firm-wide reporting initiatives.
• Assist with emissions accounting, regulatory reporting, climate risk assessment, and LP engagement support.

Skills

Data analytics

Data visualization

Communication skills

English fluency

Education

Graduate student or advanced undergraduate

Tools

Microsoft Excel

Python

R

SQL

PowerBI

Tableau

Job description

TPG is seeking a Data Analytics & Reporting Research Assistant to support the DARL team with sustainability analytics projects, including creating dashboards, automating reporting processes, and other data-focused improvements. The role supports emissions accounting, regulatory reporting, climate risk assessment, and LP engagement.

Early January–Mid-May 2027, 20 hours per week, $22.5/hour, in Provo, UT. Ideal candidates are graduate students or advanced undergrads with strong Excel,