Associate Data Analyst Intern

At Triumph, our vision is a world where freight transactions are accurate and seamless on the most modern and secure freight transaction network. That’s why we’re looking for passionate, innovative, solutions-oriented people to join our team. We thrive on providing exceptional customer service and we look for team members with an entrepreneurial spirit and a passion to build successful partnerships with our clients. Because at the end of the day our goal is to help our partners businesses run better.

Position Summary: This role is designed for current college students, particularly rising seniors, who are interested in building a career in Data Analytics and/or Data Science. The Summer Data Analyst Intern will gain hands-on experience supporting product strategy, customer success, and business intelligence initiatives by assisting with data analysis, reporting, and insight generation.

The internship offers exposure to real-world datasets and cross-functional collaboration with teams including Customer Success, Product, and Data & Analytics. Interns will develop practical analytics skills while learning how data informs customer outcomes and strategic business decisions.

Essential Duties & Responsibilities

• Support senior Data Analyst by assisting with historical data analysis, basic data scrubbing, mapping, and validation.

• Analyze user behavior, product performance, and operational data under the guidance of senior analysts.

• Support the review and interpretation of early machine-learning model outputs and help prepare materials for internal or customer-facing presentations.

• Conduct competitor, industry, and market research to support product and strategic planning.

• Participate in discussions with business stakeholders to help document requirements and prototype new analytic ideas.

• Assist with small-scale feature analysis or process improvement initiatives.

• Collaborate with data and analytics team members to support data quality checks and documentation efforts.

• Develop foundational knowledge in transportation data and related business domains.