Geospatial Data Analytics Intern

Travelers

United States

On-site

USD 39,000 - 41,000

Full time

14 days+

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Job summary

Travelers is offering a 10-week BI&ALDP internship in data analytics, based in Hartford, CT, and St. Paul, MN. Interns work on real projects, receive hands-on training, and are evaluated as professionals from day one.

Housing support is available, with opportunities to advance to full-time roles after successful completion. You will learn through cross‑enterprise collaboration, gain practical experience in GIS, Python, SQL, and analytics platforms, and participate in a capstone presentation

Qualifications

  • Pursuing or obtained a Bachelor’s or Master’s degree.
  • GPA 3.2+ preferred.
  • Exposure to ESRI ArcGIS Pro and other GIS mapping software.
  • Comfortable with using Python.
  • Data warehouse/ETL understanding with Python, SQL, and/or Snowflake.
  • Knowledge of data lakes and/or experience with Databricks a plus.

Responsibilities

  • Real project work aligned to active business needs across Travelers' analytics functions.
  • Technical training taught by BI&ALDP participants.
  • Formal performance reviews with constructive feedback.
  • Leadership exposure through Intern Symposium and community outreach initiatives.
  • Collaborative capstone presentation developing and presenting analytics solutions.
  • Apply analytical and AI tools with focus on quality and accuracy of outputs.
  • Potential to interview for a full-time BI&ALDP position after the internship.

Skills

GIS
Python
SQL
ArcGIS Pro
Databricks

Education

GIS/CS/Geography degree

Tools

ESRI ArcGIS Pro
Snowflake
Databricks
SQL

Job description

Travelers is offering a 10-week BI&ALDP internship in data analytics, based in Hartford, CT, and St. Paul, MN. Interns work on real projects, receive hands-on training, and are evaluated as professionals from day one.

Housing support is available, with opportunities to advance to full-time roles after successful completion. You will learn through cross‑enterprise collaboration, gain practical experience in GIS, Python, SQL, and analytics platforms, and participate in a capstone presentation

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