Year Round Intern - Loup Logistics Data

About the role

Are you passionate about turning data into meaningful insights? Do you enjoy solving complex problems, identifying trends, and using analytics to influence business decisions? Join Loup as a year-round Data Intern and gain hands-on experience supporting data-driven strategies that help improve business performance across the organization.

Responsibilities

• Assist with collecting, cleaning, validating, and organizing data from multiple sources.
• Support the development and maintenance of dashboards, reports, and visualizations to communicate key business metrics.
• Analyze datasets to identify trends, patterns, and opportunities for operational improvement.
• Ensure data accuracy and integrity through routine audits, quality checks, and continuous improvement. Contact relevant personnel for corrections.
• Partner with team members to gather requirements and support data-driven projects.
• Document data processes, methodologies, and reporting procedures.
• Assist in preparing presentations and summaries of findings for stakeholders.
• Support ad hoc reporting and analysis requests from business partners.
• Learn and apply data management, analytics, and reporting best practices.

Qualifications

• Currently pursuing a Bachelor's or Master's degree in Data Analytics, Data Science, Statistics, Mathematics, Computer Science, Information Systems, Business Analytics, Economics, or a related field
• Familiarity with data visualization and reporting tools (e.g., Power BI, Tableau, or similar)
• Familiarity and experience using tools such as SQL and Microsoft Excel
• Strong attention to detail and commitment to data accuracy
• Effective written and verbal communication skills
• Ability to manage multiple assignments independently and within a team while meeting deadlines

Preferred qualifications

• Prior internship, coursework, or project experience involving data analysis or reporting
• Expertise in SQL and/or Tableau
• Experience creating dashboards or visual reports for business audiences
• Experience working with large datasets and performing data validation activities
• Demonstrated ability to learn new technologies and analytical tools quickly
• Participation in academic, research, or extracurricular projects related to analytics, technology, or business intelligence

Pay

The estimated wage for this position is between $21.00–$25.00 per hour. Final rate of pay will be based on several factors including year of study, qualifications, experience, and internal equity.