Data Analytics Intern: Power BI & Data Documentation

thgrp; Indianapolis (IN); On-site; USD 21,000 - 30,000; Part time

Job summary

The Heritage Group in Indianapolis is offering an Undergraduate Data Analytics Intern role within Heritage Research Group. The internship focuses on improving HRG's data structure, Power BI dashboard development, reporting cleanup, and building a data dictionary to help cross-team access.

You'll gain exposure to AI/ML tools and contribute to documentation, user guides, and training resources, while collaborating with teams to ensure data is clean, accessible, and ready for analytics.

Qualifications

• 1+ years internship, co-op, or university research experience with data or reporting tools.
• Pursuing related degree with strong coursework in data analytics.

Responsibilities

• Build, update, and maintain Power BI dashboards and reports.
• Clean up and standardize existing reporting processes for clarity and consistency.
• Develop and maintain a comprehensive data dictionary for HRG’s datasets.
• Organize, structure, and document datasets to improve data accessibility across teams.
• Create clear user guides, documentation, and training resources for data assets.
• Support AI/ML modeling efforts with clean and well-structured data.
• Participate in discussions on how structured data can enhance AI/ML outcomes.

Skills

Power BI

Data visualization

Data structuring

Metadata & documentation

Databases

Excel

Reporting automation

Written communication

AI/ML concepts

Education

High School diploma or equivalent

Bachelor’s in Data Science / ML / IS (preferred)

Tools

SQL databases

Excel

Reporting automation tools

Job description

The Heritage Group in Indianapolis is offering an Undergraduate Data Analytics Intern role within Heritage Research Group. The internship focuses on improving HRG's data structure, Power BI dashboard development, reporting cleanup, and building a data dictionary to help cross-team access.

You'll gain exposure to AI/ML tools and contribute to documentation, user guides, and training resources, while collaborating with teams to ensure data is clean, accessible, and ready for analytics.