Advanced Analytics Intern

Veritiv’s Internship Program will provide real world experience, team projects, social events, volunteer work and professional development trainings. The internships are full-time, hybrid and run June 1 to August 7, 2026.

Job Purpose:

Our Business Analytics Intern will be responsible for supporting the Advanced Analytics team in delivering fact-based, data-driven insights to business functions such as Supply Chain, Sales, Digital Commerce, Finance, and Marketing. The intern will gain hands-on experience working with real-world business data and exposure to advanced analytics techniques, including data modeling, visualization, machine learning, or optimization.

Job Responsibilities:

● Collaborate with multiple internal customers on projects and presentations.
● Identify opportunities to streamline process improvements.
● Take ownership of a project and then assist other team members to support company initiatives.

Additional Responsibilities & Qualifications:

• Collect, clean, and organize large datasets from multiple business systems using SQL and related tools.
• Perform exploratory data analysis to identify trends, patterns, and anomalies relevant to business performance.
• Build and update reports, dashboards, and visualizations in Power BI or Tableau to support business decision-making.
• Assist in developing and testing basic statistical models, forecasting methods, or machine learning techniques under guidance from senior team members.
• Document data processes, assumptions, and findings to ensure transparency and repeatability.
• Ensure quality, accuracy, and attention to detail in all deliverables.
• Actively learn and apply new analytical methods, tools, and business knowledge throughout the internship experience.
  Qualifications:
• Currently pursuing a Bachelor’s or Master’s degree in Analytics, Industrial or Supply Chain Engineering, Operations Research, Mathematics, Statistics, Computer Science, or related field.
• Hands-on experience with SQL, Python, or R through coursework, academic projects, or internships.
• Strong problem-solving, analytical, and quantitative skills.
• Ability to work with large datasets and perform detailed data validation.
• Experience applying machine learning, predictive modeling, forecasting, or data mining in academic projects. (Preferred)
• Exposure to optimization techniques such as linear programming or mixed integer programming. (Preferred)
• Experience automating data workflows or analysis processes. (Preferred)

Work Experience:

● Ability to manage multiple projects, work under pressure, and adapt to sudden changes in the work environment. ● Ability to work in a team environment. ● Ability to work quickly and efficiently. ● Excellent verbal, written, people, and diplomacy skills are required. ● Must be highly motivated, flexible and deadline driven. ● Proficient with Microsoft Office Suite. ● Strong planning and organization skills are required. ● Strong problem-solving and attention to detail skills are required. ● The ability to communicate with all levels of the organization.

Education:

● Bachelor's Degree In Progress

What We Offer

• Engaging and inclusive culture with employee-led Employee Resource Groups, Veritiv Cultural Alliance, recognition platform, etc.
• Extensive training opportunities, professional development programs, career pathing, and mentorship opportunities.
• Collaborative atmosphere with our customers and suppliers to create healthier, safer and more sustainable communities through our responsible operations and innovative solutions.
• Healthcare benefits, 401k, paid time off and tuition reimbursement.

About Veritiv

Together with its subsidiaries, Veritiv is the leading full-service provider of packaging solutions. Veritiv also provides JanSan, hygiene, print and publishing products and services. Veritiv serves customers in a wide range of industries, through team members around the world helping shape the success of its customers. For more information, visit and connect with the Company on LinkedIn .

Veritiv is an Equal Opportunity/Affirmative Action employer.
EEO Policy US | EEO Policy Mexico
This description does not attempt to define the job's essential functions as defined by applicable disabilities law.