IT Data Analytics Intern

GAF•Parsippany, NJ

About The Position

At GAF, we cover more than just buildings. We cover each other. Under this roof, you will have the tools and resources you need to begin, grow, and develop in your career. Under this roof, you will experience our incredible culture and be empowered to support your teammates, your customers and especially your community through collaboration. Under this roof, we define the future while leading the present through our commitment to continuous improvement and never being satisfied with the status quo. We are GAF. And under this roof, we protect what matters most. Put your classroom studies into practice in the real world and gain the experience to help determine your journey after graduation. At GAF, we’ll make sure you get going on your very first day with a comprehensive orientation into our company. In our program, you will have the opportunity to own your own projects, participate in meetings, and work cross-functionally with other departments. We are seeking an enthusiastic and analytical IT Data Analytics Intern to join our technology and data team. In this role, you will work closely with data engineers, IT analysts, and business stakeholders to turn raw data into meaningful insights. You will help clean, process, and visualize enterprise data to support data-driven decision-making across the organization.

Requirements

  • Currently enrolled undergraduate or graduate student pursuing a degree in Data Analytics, Information Technology, Computer Science, Statistics, Business Analytics, or a related STEM field.
  • Basic-to-intermediate proficiency in SQL for querying databases.
  • Familiarity with data visualization tools (e.g., Microsoft Power BI or Tableau).
  • Strong foundational knowledge of Microsoft Excel (formulas, pivot tables).

Nice To Haves

  • Exposure to programming languages like Python or R.

Responsibilities

  • Assist with extracting, transforming, and cleaning data from various IT and business systems to ensure data quality and accuracy.
  • Write and optimize SQL queries to investigate data anomalies, pull database records, and perform exploratory data analysis.
  • Build, update, and maintain interactive reports and visual dashboards using tools like Power BI or Tableau to track key performance indicators (KPIs).
  • Help transition manual reporting processes into automated, scalable data solutions.
  • Document data definitions, workflows, and business requirements; collaborate with teams using agile project management practices.

Benefits

  • Internal training programs and courses
  • On the job experiences
  • Employee Resource Groups
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