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Data Analytics Undergraduate Intern

PNC Financial Services

Salary not specified
Aug 29, 2025
Pittsburgh, PA, USA
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PNC is looking to solve business problems by hiring a Data Analyst Intern to gain exposure to advanced analytical techniques and contribute to the company's success

Requirements

  • Experience in data analysis, preferably using SQL, Python, R, and/or Tableau
  • Knowledge of data analysis, computational modeling, programming languages and frameworks (SQL, Python, R, etc.)
  • Familiarity with big data ecosystem
  • Strong background in data analysis and computational modeling
  • Ability to generate data-driven insights for the organization
  • Programming skills in languages such as SQL, Python, R
  • Experience with data visualization tools

Responsibilities

  • Performs or assist the core activities of the group by applying knowledge learned to drive business results (e.g., process support, internal customer interaction, or supporting internal projects)
  • Participates in social learning within the organization (e.g., identifies and networks with business representatives and peers, participates in mentoring, job shadowing and community outreach projects)
  • Works under supervision and may have limited approval and/or exception authority
  • Gains exposure to commercial portfolio analytics, data engineering, machine learning, and data visualization
  • Generates data-driven insights for the organization
  • Applies knowledge of data analysis, computational modeling, programming languages and frameworks (SQL, Python, R, etc.)
  • Contributes to product development and deployment

Other

  • Working toward a bachelor's degree, preferably STEM or business majors (e.g. Analytics, Data Science, Mathematics, Statistics, Finance, Economics, Business)
  • Junior status
  • Minimum GPA 3.2
  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities