Data & Automation IT Intern

WEP Clinical

Morrisville (NC)

On-site

USD 25,000 - 36,000

Full time

14 days+

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Benefits offered by this job

Paid Internship
Paid Time Off & Sick Time
Medical Benefits
Volunteer Day

Job summary

WEP Clinical, based in Morrisville, NC, invites an IT Intern – Data, Automation & Solutions to gain hands-on experience designing data-driven solutions. You will work with SQL, Python, and dashboards to support analytics and automation initiatives.

This paid internship is ideal for students in IT, CS, data science, or analytics who are curious, collaborative, and eager to learn, with opportunities to impact real projects.

Qualifications

  • Pursuing degree in Information Technology, Computer Science, Data Science, Analytics, Engineering or related field.
  • Strong analytical and problem-solving skills with ability to translate business needs into technical solutions.
  • Interest in data, automation, and emerging technologies including AI.

Responsibilities

  • Gather and translate business and technical requirements into scalable data solutions.
  • Develop and optimize SQL queries and support relational database design for analytics.
  • Build Python-based scripts and automations to streamline workflows.
  • Analyze data to identify trends and drive process improvements; present insights via dashboards (Tableau).
  • Support system enhancements, integrations and AI-enabled tooling under senior guidance.
  • Prepare and maintain documentation, including process maps and technical notes.
  • Participate in project meetings and contribute to continuous improvement.

Skills

SQL
Python
Data Analysis
Dashboarding

Education

Pursuing IT/CS/Data Science degree

Tools

Tableau

Job description

WEP Clinical, based in Morrisville, NC, invites an IT Intern – Data, Automation & Solutions to gain hands-on experience designing data-driven solutions. You will work with SQL, Python, and dashboards to support analytics and automation initiatives.

This paid internship is ideal for students in IT, CS, data science, or analytics who are curious, collaborative, and eager to learn, with opportunities to impact real projects.

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