Heritage Research Group - Undergraduate Data Analytics Intern

The Heritage Group is a fourth-generation, family-owned business focused on construction and materials, environmental services and specialty chemicals. Over the last 90+ years, the Heritage portfolio has grown to include more than 50 companies that employ more than 6,000 people. What unites this diverse group of businesses and individuals is our commitment to create a safer, more enriching, and sustainable world by harnessing the power of family.

The Heritage Research Group assists The Heritage Group companies, customers, and partners in evolving and adapting to an ever-changing marketplace. Heritage Research Group provides innovative products, processes, and training that constantly improve the way The Heritage Group companies serve their clients and deliver solutions to address the myriad of challenges their clients face. It also creates new technologies that fuel further business opportunities for The Heritage Group.

• 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.

• Additional duties and responsibilities as assigned, including but not limited to continuously growing in alignment with the Company’s core values, competencies, and skills.

• Required High School or Equivalent
• Preferred Bachelor's Degree Preferred rising senior pursuing a major in Data Science, Machine Learning, Information Systems, Engineering, or related field.

• Required 1+ years Internship, co-op, or university research experience with data or reporting tools.

• Strong proficiency with Power BI (or similar data visualization platforms).
• Understanding of data structuring, metadata, and documentation best practices.
• Familiarity with databases, Excel, and reporting automation.
• Strong written communication skills for documentation and user guides.
• Team-oriented, self-motivated, and detail-focused.
• Exposure to AI/ML concepts preferred but not required.

• Work is performed in an office environment and requires the ability to operate standard office equipment and keyboards. Must have the ability to lift and carry small parcels, packages and other items and walk short distances.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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