Intern- Test Engineering

VertivDelaware, OH

About The Position

We are seeking a motivated and curious Innovation Lab Intern to support data analytics and insight generation across our Innovation Lab activities. This role provides hands-on exposure to applied data analysis, visualization, and reporting in a fast-paced engineering and laboratory environment. The ideal candidate is detail-oriented, analytical, and eager to learn how data is used to inform technical decisions, improve lab operations, and support business outcomes.

Requirements

  • Must be pursuing a degree in Engineering, Physics, Data Science, Statistics, Computer Science, or a related field.
  • Strong analytical, critical thinking, and problem-solving skills
  • High attention to detail and a demonstrated work ethic
  • Ability to communicate clearly and professionally in both written and verbal formats
  • Willingness to learn quickly in a hands-on, fast-paced environment and deliver high-quality work
  • Ability to work independently while also contributing effectively in a team setting

Nice To Haves

  • Familiarity with data analysis tools (e.g., Excel, Python, R, Power BI, Tableau, or similar) is a plus

Responsibilities

  • Assist with collecting, cleaning, and preprocessing data from internal systems, lab equipment outputs, and external sources to ensure accuracy and completeness
  • Perform exploratory data analysis to identify trends, patterns, and correlations that support lab operations, testing activities, and management reporting
  • Develop and maintain dashboards, charts, and reports that clearly communicate insights to technical and non-technical stakeholders
  • Support monitoring of data quality and integrity, identifying discrepancies and working with team members to resolve issues
  • Document data sources, assumptions, and methodologies to support repeatability and transparency
  • Stay current with emerging tools, techniques, and best practices in data analytics and business intelligence, applying them where appropriate
  • Collaborate with engineers, lab staff, and analysts to understand requirements and translate them into meaningful data outputs
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