Business Analytics and Automation Intern

LeidosReston, VA
1d$41,600 - $75,200

About The Position

Leidos is seeking a highly motivated Business Analytics and Automation Intern to support business analytics, automation, and data-driven process improvement initiatives. This internship provides an opportunity to gain meaningful, hands-on learning experience while working alongside professionals in a collaborative corporate environment. The Intern will assist with analyzing data, developing automation solutions, and improving reporting and workflows that support operational and strategic objectives. The Intern’s responsibilities may evolve based on business needs and the Intern’s academic background. This role is designed to provide exposure to real-world business challenges while strengthening technical, analytical, and professional skills.

Requirements

  • Currently enrolled as a junior or senior at an accredited college or university.
  • Pursuing a degree in Data Analytics, Computer Science, Information Systems, Engineering, Business Analytics, Finance, or a related field.
  • Fundamental knowledge of Python for data analysis or automation.
  • Ability to use AI-assisted development tools to support coding and problem solving.
  • Ability to work a consistent schedule during the internship period.
  • U.S. Citizenship required.

Nice To Haves

  • Coursework or experience with SQL or relational databases.
  • Exposure to automation, scripting, or data visualization tools such as Microsoft Power Platform.
  • Familiarity with time-series data, forecasting concepts, or statistical analysis.
  • Interest in applied analytics, process improvement, or operational efficiency.
  • Exposure to machine learning or AI concepts through coursework or personal projects.

Responsibilities

  • Support the analysis, validation, and organization of business and operational data.
  • Assist with the development of low-code and automation solutions to improve efficiency.
  • Contribute to dashboards, reports, and data visualizations used by stakeholders.
  • Identify data quality issues and assist with root-cause analysis.
  • Document processes, assumptions, and results in accordance with team standards.
  • Collaborate with team members in a professional, ethical, and inclusive work environment.

Benefits

  • competitive compensation
  • Health and Wellness programs
  • Income Protection
  • Paid Leave
  • Retirement
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