Data, Analytics & Decision Science - Summer 2027 Internship Pathway

Lumen Technologies•Remote, OR

8d•$26 - $46

About The Position

Lumen’s paid, 10-week Summer 2027 internship pathway offers meaningful work, mentorship, professional development, and opportunities to connect with peers and leaders. Applicants use one application to be considered for multiple internships involving data, analytics, and informed decision-making. During the selection process, candidates meet hiring teams and explore assignments aligned with their interests and strengths. Interns may turn complex information into insights that help teams understand performance, identify opportunities, and solve business challenges. Assignments may include analytics, reporting, forecasting, business intelligence, strategy, operations, finance, marketing, or workforce planning, including building dashboards, uncovering trends, and translating findings into recommendations. Students must be enrolled at an accredited college or university during the internship. Lumen primarily seeks rising seniors graduating between August 2027 and June 2028; students graduating in 2029 may also be considered.

Requirements

Be enrolled at an accredited college or university at the time of the internship.
Demonstrate strong analytical and critical-thinking skills, curiosity, problem-solving ability, and sound judgment.
Have effective communication and collaboration skills.
Be comfortable navigating ambiguity and complex challenges.
Show interest in data, analytics, technology, AI, or business strategy.
Demonstrate initiative, adaptability, and a growth mindset.

Nice To Haves

Prior experience with analytics, statistics, visualization tools, programming languages, research methods, or business analysis may be helpful, but is not required.
Academic backgrounds in Data Science, Analytics, Statistics, Mathematics, Finance, Accounting, Economics, Business Administration, Computer Science, Information Systems, or Engineering may be a strong fit.
Students from other disciplines with demonstrated analytical abilities and an interest in data-driven problem solving are encouraged to apply.
Rising seniors graduating between August 2027 and June 2028 are the primary target; students graduating in 2029 may also be considered.

Responsibilities

Analyze customer, operational, financial, or workforce data to identify trends, risks, and opportunities.
Develop dashboards, reports, and visualizations to support informed business decisions.
Support forecasting, strategic planning, and performance measurement initiatives.
Partner with stakeholders to translate data into actionable recommendations and business insights.
Explore opportunities to improve efficiency and decision-making through analytics, automation, and AI-enabled solutions.