Technical Data Analyst Intern

New Jersey ResourcesWall, NJ
Hybrid

About The Position

Kick‑start your career and help shape a cleaner energy future. New Jersey Resources (NJR) summer internships offer hands‑on learning opportunities for motivated college students who want real-world experience and a closer look at careers in the energy industry. At NJR, we value collaboration, learning, and diverse perspectives, and believe the best ideas come from working together. As a Technical Data Analyst Intern, you will: Assist with data workflows and analytics initiatives across our enterprise ecosystem. Support SQL-based queries, contribute to Power BI visualizations and transformations, and data validation. Explore API data extraction and Python automation. Document data models, table relationships, KPI definitions, and system workflows to improve long-term maintainability and transparency. Evaluate AI tools to improve data quality checks, streamline documentation, and identify optimization opportunities.

Requirements

  • Currently enrolled in an accredited college or university and entering senior year,
  • pursuing a Bachelor’s degree in Data Analytics, Data Science, Information Systems, Computer Science, Business Analytics or a related field.
  • Proficiency in SQL and Python
  • Understanding of relational database concepts
  • Familiarity with API, JSON, and data integration concepts
  • Interest in AI/ML tools for analytics and automation
  • Available to work full time (40 hours per week) during defined intern program dates (June-August)
  • Position is hybrid 3 days onsite in the corporate office in Wall, NJ, 2 days remote as assigned
  • Visa sponsorship is not available for this position, including for student visas.

Responsibilities

  • Assist with data workflows and analytics initiatives across our enterprise ecosystem.
  • Support SQL-based queries, contribute to Power BI visualizations and transformations, and data validation.
  • Explore API data extraction and Python automation.
  • Document data models, table relationships, KPI definitions, and system workflows to improve long-term maintainability and transparency.
  • Evaluate AI tools to improve data quality checks, streamline documentation, and identify optimization opportunities.

Benefits

  • Exposure to a growing company focused on a sustainable, clean energy future.
  • Competitive compensation: $21/hour
  • Learning and development opportunities
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