Data Analytics Intern — Summer: Insights & Impact

Woodmenlife

Omaha (NE)

On-site

USD 22,000 - 30,000

Full time

43 hours ago
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Benefits offered by this job

Mentorship
Real world project experience
Paid volunteer events

Job summary

WoodmenLife is offering a Data Analytics Intern position for Summer 2027. The internship provides hands-on experience in analytics, reporting, and process improvement, with exposure to how data informs decisions in the insurance industry.

You will join a 10-week program with mentorship, weekly cohort meetings with leaders, and opportunities to present capstone findings. Candidates should be pursuing CS/MIS/Data Analytics, have a 3.0 GPA, and be ready to work full-time hours in a collaborative

Qualifications

  • Rising Sophomore, Junior, or Senior in college pursuing a related degree.
  • Must have a 3.0 GPA or higher.
  • Ability to work 38.75 hours per week.
  • Strong communication and collaboration skills.
  • Proficient with Microsoft Office.
  • S.T.A.R. customer service mindset.
  • Passion for making an impact in local communities.
  • Growth mindset and adaptability.
  • Innovation and willingness to explore new approaches.
  • Team collaboration and feedback.

Responsibilities

  • Gain broad exposure by meeting weekly with Internship Cohort, executives, and division leaders.
  • Summarize and present capstone project outcomes and learnings.
  • Collaborative teamwork in an Agile environment to support goals.
  • Develop understanding of data warehouse and BI architecture, and perform data analysis to inform decisions.

Skills

Data analytics
Communication
Collaboration
Problem solving
Customer service

Education

Bachelor's or Master's in CS, MIS, Data Analytics or related

Tools

Microsoft Office

Job description

WoodmenLife is offering a Data Analytics Intern position for Summer 2027. The internship provides hands-on experience in analytics, reporting, and process improvement, with exposure to how data informs decisions in the insurance industry.

You will join a 10-week program with mentorship, weekly cohort meetings with leaders, and opportunities to present capstone findings. Candidates should be pursuing CS/MIS/Data Analytics, have a 3.0 GPA, and be ready to work full-time hours in a collaborative

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