Data Analytics Intern

Job Description

Job Description

Description:

Propio Language Services is a provider of the highest quality interpretation, translation, and localization services. Our people take pride in every resource we offer, and our users always have access to the best technology, support, and experience. We are driven by our passion for innovation, growth, and connecting people. If you believe in the transformative power of technology-driven solutions and meaningful communication, Propio could be the ideal place for you.  

Propio’s Summer Internship Program is an experience that offers students the opportunity to engage in real-world client work while receiving mentorship from industry-leading professionals. As an intern, you’ll make meaningful contributions from day one because we believe you are the future of our business. 

Program Benefits:  

• Onsite experience that promotes hands-on learning, team engagement, and a deeper understanding of our company culture 
• Competitive hourly pay 
• One-on-one mentorship with experienced professionals 
• Ongoing learning and development 
• Networking opportunities and social events with peers and professionals 
• Potential for full-time employment upon graduation 

Position Overview  

We are seeking a motivated and ambitious Data Analytics Intern to join our team. This internship provides hands-on experience in various data analysis functions including report and dashboard creation, data analyzing, and results reporting. In this role, you will gain exposure to the full suite of business analytics and data reporting and contribute to meaningful projects in a fast-paced environment. 

Responsibilities:   

• Assist in collecting, cleaning, and organizing raw data from multiple sources for analysis 
• Perform exploratory data analysis to identify trends, patterns, and outliers 
• Support the creation of dashboards, reports, and data visualizations to communicate insights 
• Collaborate with internal teams to understand data needs and deliver solutions 
• Help maintain data integrity and accuracy across systems and tools 
• Use tools such as Excel, SQL, Python, Tableau, and Power BI to support analytics projects 
• Contribute to the development of predictive models and statistical analyses under supervision 
• Document processes, methodologies, and findings to support future reference and repeatability 
• Stay current on data analytics trends, tools, and best practices to support continuous improvement 

  Qualifications:   

• Currently pursuing a degree in Business Analytics, Data Science, Statistics, Management Information Systems or a related field 
• Minimum of a 3.0 GPA strongly preferred 
• Active involvement in campus, community, or other volunteer activities and/or organizations preferred 
• Strong written and verbal communication skills 
• High level of confidentiality and professionalism 
• Excellent attention to detail and organizational skills 
• Basic knowledge of Microsoft Office Suite (Word, Excel, Outlook, PowerPoint) 
• Interest in learning and contributing to a variety of data functions 
• Prior internship or office experience a plus, but not required 
• Candidates must be legally authorized to work in the United States on a full-time basis without requiring future sponsorship for employment visa status 

What you’ll Gain  

• Exposure to real-world data analysis practices and systems 
• Experience working with cross-functional teams 
• Mentorship and support from industry leading data analysis professionals 
• Opportunities to make meaningful contributions to organizational projects 
• A stronger understanding of career paths within data and business analytics 

Notice of AI Use in Job Application Review

As part of our commitment in creating a fair, efficient, and consistent hiring process we may use artificial intelligence (AI) to help our recruiting teams organize, summarize, and analyze information provided by candidates, including resumes, application responses, and other materials submitted during the application process.AI may be used to identify patterns, highlight relevant skills, and experience, and assist in comparing a candidate’s qualifications with the requirement of a specific role. These tools are to improve efficiency and consistency while supporting more informed hiring decisions, which will ultimately be made by the hiring team.