Intern – Server Engineering and Operations Part-time Spring 2027

SECU

Raleigh (NC)

Hybrid

USD 20,000 - 27,000

Full time

11 days ago

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Job summary

SECU is offering a paid Spring 2027 internship focused on data analytics and real-world experience within the IT Data Analytics function. Interns will be mentored by a dedicated resource and work on project-based learning to build a path toward future part-time or full-time roles.

Responsibilities include research, data acquisition and cleaning, Power BI reporting, Python scripting, and cross-department collaboration, with an emphasis on building professional skills in a supportive credit union

Qualifications

  • Pursuing a Data Analytics or Data Science-related major.
  • GPA of 2.8 or higher.

Responsibilities

  • Execute project-based research and prepare presentations for leadership.
  • Gain entry-level exposure to Associate IT Data Analyst functions: data acquisition, preparation, cleaning, integration, and cataloging.
  • Create Power BI reports using Power Query and DAX; develop visualizations.
  • Write Python scripts and use version control.
  • Support administrative duties and collaborate across departments.

Skills

Data analytics
Presentation
Team collaboration

Education

Data Analytics or Data Science major

Tools

Power BI
Python

Job description

If you are motivated and believe in the credit union philosophy of \"People Helping People,\" join our team!

Position Overview

To provide project- based learning and real-world experience to rising Sophomore, Junior, Senior and Graduate students. This cohort experience will provide opportunities to enhance professionalism, gain entry-level investment services experience and receive mentorship from a designated resource within the department.

This is a paid internship opportunity for the Spring 2027 semester. The internship program is designed to be a pipeline for identifying early talent with the goal of converting interns into a part time or full-time role at SECU.

Responsibilities
  • Responsible for assigned project-based research and presentation to be shared with leadership at the conclusion of the program.
  • Obtain entry-level exposure to the functions of an Associate IT Data Analyst.
    • Data acquisition, preparation, cleaning, integration, and cataloging
    • Power BI reporting - Power Query, DAX, visualizations
    • Python scripting and version control
    • Operational process analysis and improvement
  • Perform administrative duties including mailings and imaging documents and other clerical duties as assigned.
  • Collaborate effectively and professionally with internal coworkers and departments across the organization to aid in research and development of projects.
Requirements
  • Data Analytics or Data Science-related major.
  • Must be 18 years or older.
  • Currently enrolled full-time at a US - NC based accredited university/college.
  • Must commit to a 10 - 12-week internship program.
  • Must commit to at least 10 hours per week.
  • GPA of 2.8 or higher.
  • Authorized to work in the Unites States without Sponsorship now or in the future or without receiving CPT/OPT through university/college.
  • Must be a rising Sophomore, Junior, Senior or Graduate Student.
Job Environment
  • Office setting with physical proximity to other employees.
  • Some background noise from other employees, copy machine, and telephone.
  • Hybrid, At max 4 days per month in office
Physical Demands
  • Sitting for prolonged periods.
  • Bending/standing for prolonged periods.
  • Carrying up to 5 lbs.
  • Lifting up to 5 lbs.
  • Push/ pull up to 5 lbs.
  • Filing for prolonged periods.
  • Telephone for prolonged periods.
  • Computer for prolonged periods.

SECU provides equal employment opportunity to all qualified persons regardless of race, color, religion, age, sex, sexual orientation, gender identity, national origin, genetic information, disability, veteran status, or other classification protected by law.

Disclaimer

State Employees' Credit Union reserves the right to fill this role at a higher/lower level based on business need.

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