2027 Summer Data Analytics Intern

WoodmenLIfe•Omaha, NE

1d•Hybrid

About The Position

WoodmenLife is seeking a Data Analytics Intern for its 10-week Summer 2027 Internship Program. The intern will support analytics, reporting, and process improvement initiatives, gaining hands-on experience with real-world projects through planning, execution, and evaluation. The role provides exposure to how data supports decision-making in the insurance industry, as well as mentorship and opportunities to learn about the organization and its leadership. The intern will work collaboratively in an Agile environment and develop an understanding of enterprise data warehouse and business intelligence system architecture. They will help analyze complex datasets to generate insights that inform strategic decisions, manage risk, and improve operational efficiency. The internship also includes regular meetings with the internship cohort and organizational leaders, and a capstone presentation covering project accomplishments, skill development, and key learnings.

Requirements

Be a rising sophomore, junior, or senior in college, currently pursuing a bachelor's or master's degree in Computer Science, MIS, Data Analytics, or a related field.
Have a GPA of 3.0 or higher.
Be able to work 38.75 hours per week.
Communicate clearly and effectively while working collaboratively.
Have proficient computer skills, including knowledge of Microsoft Office.
Provide seamless, trustworthy, attentive, and resourceful (S.T.A.R.) customer service.
Demonstrate a passion for making an impact in local communities.
Demonstrate adaptability and resilience, embrace challenges, learn from experience, and support change to grow and improve.
Generate and share creative ideas that improve processes and add value; demonstrate open-mindedness, resourcefulness, and willingness to explore new approaches.
Support others and build relationships through teamwork, valuing diverse perspectives, and exchanging constructive feedback.

Responsibilities

Participate in analytics, reporting, and process improvement initiatives.
Work through the planning, execution, and evaluation phases of real-world projects.
Collaborate in an Agile-driven team environment and contribute to cross-functional efforts supporting strategic and departmental goals.
Develop an understanding of scalable and maintainable enterprise data warehouse and business intelligence system architecture.
Extract, transform, and interpret complex datasets to generate insights that inform strategic decisions, manage risk, and improve operational efficiency.
Meet weekly with the internship cohort, collectively with executive leadership, and one-on-one with division-level leaders.
Prepare and present a capstone presentation summarizing internship experience, project accomplishments, skill development, and key learnings.