Data Engineering Intern - ETL & Analytics in Practice

Hanover Insurance Group, Inc.

Worcester (MA)

On-site

USD 28,000 - 41,000

Full time

5 days ago
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Job summary

Hanover Insurance Group, Inc. is offering a 10-week full-time internship in Worcester, MA. The role focuses on data collection, analysis, and practical applications, with hands-on experience in ETL, SQL, data management, and documentation.

You will profile data, build pipelines, and document design decisions as part of a growing analytics team. Ideal candidates are enrolled in a bachelor’s or higher degree program, maintain a 3.0 GPA or higher, and can work in the U.S. without sponsorship.

Qualifications

  • Pursuing a bachelor's or higher degree in a related field.
  • Cumulative GPA of 3.0 or higher preferred.
  • Available for full-time 10-week internship.
  • Authorized to work in the U.S. without sponsorship now or in the future.
  • Proficiency with ETL, SQL, data management, and documentation.
  • Demonstrates initiative, creativity, and analytical skills.
  • Thinks critically and develops solutions.

Responsibilities

  • Understand where data is, basic models and architecture, how to access data, and how to manipulate data to produce output.
  • Focus on practical applications of data collection and analysis.
  • Execute data profiling, report & data generation, relational data modeling design, data management & documentation.
  • Implement new data pipelines and models as needed for models or analysis.
  • Document the development and the design of the solutions built.

Skills

Initiative & creativity
Analytical thinking
Critical thinking
Problem solving

Education

Bachelor's degree or higher

Tools

Azure Data Factory
SSIS
SQL
Data Management
Documentation

Job description

Hanover Insurance Group, Inc. is offering a 10-week full-time internship in Worcester, MA. The role focuses on data collection, analysis, and practical applications, with hands-on experience in ETL, SQL, data management, and documentation.

You will profile data, build pipelines, and document design decisions as part of a growing analytics team. Ideal candidates are enrolled in a bachelor’s or higher degree program, maintain a 3.0 GPA or higher, and can work in the U.S. without sponsorship.

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