IT Business Intelligence Intern (Summer 2027)

Colonial Group

New Berlin (WI)

On-site

USD 21,000 - 30,000

Full time

14 days+
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Job summary

IEWC is seeking a BI Intern to contribute to enterprise data strategy and the development of analytics solutions. You will help build a scalable BI stack, provide self-service analytics, and support data visualization efforts across the organization.

The role requires pursuing a Bachelor's degree in a related field, knowledge of SQL, Python, and experience with BI tools like Power BI or Tableau. Strong communication and analytical skills are essential.

Qualifications

  • Currently pursuing a Bachelor's degree in statistics, computer science, computer engineering, information management/systems, or business analytics.
  • Experience applying basic statistical methods to business problems.
  • Knowledge of data modeling using SQL.
  • Experience with scripting languages (Python, Java, or R).
  • Experience with one or more analytics visualization tools (Power BI, Qlik, Tableau, Excel).
  • Excellent verbal and written communication and data presentation skills.
  • Strong analytical skills.

Responsibilities

  • Assist with the development and maintenance of IEWC's Enterprise Data strategy for a scalable BI stack.
  • Use BI/visualization software to deliver self-service analytics and reporting solutions.
  • Perform analysis to troubleshoot data-related issues and aid resolution.
  • Help maintain scalable data pipelines as data volume grows.
  • Maintain multi-source data sets to support business requirements.

Skills

Analytical skills
Communication
Data storytelling
SQL
Python

Education

Bachelor's degree in statistics, computer science, computer engineering, information management/systems, or business analytics

Tools

SQL
Python
Power BI
Excel
Tableau

Job description

Motivated to play a key role in the improvement for our data and analytics experience across the enterprise, the Business Intelligence (BI) Intern at IEWC will help develop and support an extensible enterprise data strategy that drives business value.

As a hands-on technical resource, this role will help build global analytics solutions to help drive IEWC's Digital and Business Intelligence offerings. The ideal candidate will have an understanding of modern BI solutions. They will possess knowledge of ETL/ELT development, data warehouses, and visualization development. They will also have the ability and willingness to gather business requirements and complete development of reports and/or dashboards that provide business insights.

Responsibilities:

Assist with the development and maintenance of IEWC's Enterprise Data strategy to provide IEWC with a scalable, best-in-class BI stack.

  • Use business intelligence and visualization software to deliver data solutions that empower internal and external customers with self-service analytics and reporting solutions
  • Performs analysis required to troubleshoot data related issues and assist in the resolution
  • Help maintain scalable data pipelines that support continuing increases in data volume and complexity
  • Help maintains multi-source, complex data sets that support functional business requirements
Qualifications:
  • Currently working towards working towards a Bachelor's Degree in statistics, computer science, computer engineering, information management/systems, business analytics
  • Experience applying basic statistical methods to difficult business problems
  • Knowledge of or experience with data modeling using SQL
  • Experience with scripting language (e.g., Python, Java, or R)
  • Experience with one or more industry analytics visualization tools (e.g. PowerBI, Qlik, Tableau, Excel)
  • Excellent verbal/written communication skills and data presentation skills
  • Strong analytical skills

*The above represents the essential job functions that you are assigned to perform in your job. If you are unable to perform these essential duties, please see Human Resources as IEWC may be able to provide reasonable accommodations against the ADA requirements

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